TY  - JOUR
AU  - Kangrga, Ranka
AU  - Ignjatović, Svetlana
AU  - Dragasević, Mirjana M.
AU  - Jovičić, Snežana
AU  - Majkić-Singh, Nada
PY  - 2016
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2546
AB  - Objective: The measurement of pancreatic elastase (PE) in feces is used widely to screen for pancreatic exocrine insufficiency. The aim of our study was to evaluate the relationship of PE with residual beta cell secretion and metabolic control in patients with diabetes mellitus. Method: We determined the presence of PE in specimens via enzyme-linked immunosorbent assay (ELISA), whereas serum fasting glucose, C-peptide, amylase, lipase, triglycerides, total 25(OH)-vitamin D, C-reactive protein (CRP), and hemoglobin A(1c) (HbA(1c)) concentrations were assayed using routine laboratory tests. Results: PE values in 48 patients with diabetes were significantly lower than in 24 healthy volunteers (P = .001). In one-third of participants with diabetes mellitus, PE were less than 200 mu g per g, indicating pancreatic functional insufficiency. Among the patients in the cohort, PE correlated positively with C-peptide levels (P = .04), lipase (P = .009), CRP (P = .04), sex (P = .03), and BMI (P = .02) but not significantly with duration of diabetes (P = .81) or levels of HbA(1c) (P = .87), amylase (P = .06), total 25(OH)-vitamin D (P = .16), or triglycerides (P = .52). Conclusion: Our results demonstrated a strong association of diabetes with low PE levels.
PB  - Oxford Univ Press, Oxford
T2  - Labmedicine
T1  - Pancreatic Elastase Levels in Feces As A Marker of Exocrine Pancreatic Function in Patients With Diabetes Mellitus
VL  - 47
IS  - 2
SP  - 140
EP  - 148
DO  - 10.1093/labmed/lmw015
ER  - 

@article{
author = "Kangrga, Ranka and Ignjatović, Svetlana and Dragasević, Mirjana M. and Jovičić, Snežana and Majkić-Singh, Nada",
year = "2016",
abstract = "Objective: The measurement of pancreatic elastase (PE) in feces is used widely to screen for pancreatic exocrine insufficiency. The aim of our study was to evaluate the relationship of PE with residual beta cell secretion and metabolic control in patients with diabetes mellitus. Method: We determined the presence of PE in specimens via enzyme-linked immunosorbent assay (ELISA), whereas serum fasting glucose, C-peptide, amylase, lipase, triglycerides, total 25(OH)-vitamin D, C-reactive protein (CRP), and hemoglobin A(1c) (HbA(1c)) concentrations were assayed using routine laboratory tests. Results: PE values in 48 patients with diabetes were significantly lower than in 24 healthy volunteers (P = .001). In one-third of participants with diabetes mellitus, PE were less than 200 mu g per g, indicating pancreatic functional insufficiency. Among the patients in the cohort, PE correlated positively with C-peptide levels (P = .04), lipase (P = .009), CRP (P = .04), sex (P = .03), and BMI (P = .02) but not significantly with duration of diabetes (P = .81) or levels of HbA(1c) (P = .87), amylase (P = .06), total 25(OH)-vitamin D (P = .16), or triglycerides (P = .52). Conclusion: Our results demonstrated a strong association of diabetes with low PE levels.",
publisher = "Oxford Univ Press, Oxford",
journal = "Labmedicine",
title = "Pancreatic Elastase Levels in Feces As A Marker of Exocrine Pancreatic Function in Patients With Diabetes Mellitus",
volume = "47",
number = "2",
pages = "140-148",
doi = "10.1093/labmed/lmw015"
}

Kangrga, R., Ignjatović, S., Dragasević, M. M., Jovičić, S.,& Majkić-Singh, N.. (2016). Pancreatic Elastase Levels in Feces As A Marker of Exocrine Pancreatic Function in Patients With Diabetes Mellitus. in Labmedicine
Oxford Univ Press, Oxford., 47(2), 140-148.
https://doi.org/10.1093/labmed/lmw015

Kangrga R, Ignjatović S, Dragasević MM, Jovičić S, Majkić-Singh N. Pancreatic Elastase Levels in Feces As A Marker of Exocrine Pancreatic Function in Patients With Diabetes Mellitus. in Labmedicine. 2016;47(2):140-148.
doi:10.1093/labmed/lmw015 .

Kangrga, Ranka, Ignjatović, Svetlana, Dragasević, Mirjana M., Jovičić, Snežana, Majkić-Singh, Nada, "Pancreatic Elastase Levels in Feces As A Marker of Exocrine Pancreatic Function in Patients With Diabetes Mellitus" in Labmedicine, 47, no. 2 (2016):140-148,
https://doi.org/10.1093/labmed/lmw015 . .

TY  - CONF
AU  - Jovičić, Snežana
AU  - Ignjatović, Svetlana
AU  - Kangrga, Ranka
AU  - Dajak, Marijana
AU  - Majkić-Singh, Nada
PY  - 2015
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/5491
AB  - U kliničkoj praksi koristi se nekoliko skorova za
procenu kratkoročnog (10-godišnjeg) rizika od
pojave različitih oblika kardiovaskularnih bolesti
(KVB) koji se zasnivaju na multivarijabilnim regre-
sionim jednačinama izvedenim iz rezultata praćenja
različitih kohortnih grupa. Međutim, pošto je starost
promenljiva kojoj se dodeljuje najveći broj poena u
modelima 10-godišnjeg rizika, mnoge osobe sa zna
čajnim opterećenjem faktorima rizika imaju kratko-
ročni rizik daleko ispod granice koja uslovljava inten-
zivan tretman, iako njihov dugoročni (30-godišnji)
rizik može biti značajan. Takođe, drugi biomarkeri
mogu da identifikuju osobe sa većim kardiovasku-
larnim rizikom od onog izračunatog primenom skoro-
va kratkoročnog rizika. Cilj rada bio je da se analizira
priroda uticaja ispitivanih biomarkera na kardiovas-
kularni rizik i njihovo grupisanje, kao i povezanost
dobijenih faktora sa kategorizacijom 30-godišnjeg
rizika faktorskom analizom. Pomoću interaktivnog
kalkulatora »30-year risk of cardiovascular disease«
izračunavan je dugoročni 30-godišnji rizik za pojavu
»kompletne« KVB (sve manifestacije KVB) i »teške«
KVB (potencijalno fatalne komplikacije KVB). Analiza
glavnih komponenti je korišćena za ispitivanje
grupisanja markera inflamacije [visoko-osetljivi C-
reaktivni protein (hsCRP), serumski amiloid A (SAA),
fibrinogen, a1-kiseli glikoprotein (A1AGP), haptoglo-
bin, C3 i C4 komponente komplementa], metabo-lizma lipida [non-HDL i LDL holesterol, trigliceridi,
apolipoprotein A-I (apo A-I), apolipoprotein B (apo
B), lipoprotein (a) (Lp(a))], bubrežne [kreatinin,
mokraćna kiselina, cistatin C (Cys-C)] i srčane funk-
cije [N-terminalni pro-natriuretički peptid tip B (NT-
proBNP), visoko-osetljivi srčani troponin T (hs-cTnT)],
dobijenih analizom uzoraka seruma 242 zdrave oso-
be. Faktorskom analizom identifikovano je 5 klastera,
kojima je objašnjeno je 67,4% ukupne varijacije, ras-
poređene na sledeći način 1) 29,7% »sistemska infla-
macija« (hsCRP, fibrinogen, SAA, A1AGP, haptoglo-
bin, C3 i C4 komponenta komplementa); 2) 12,5%
»aterogena dislipidemija« (LDL i non-HDL holesterol,
apo B i trigliceridi); 3) 11,0% »kardiorenalni faktor«
(kreatinin, mokraćna kiselina, Cys-C i hs-cTnT); 4)
7,6% »hemodinamski faktor« (NT-proBNP) i 5) 6,7%
»lipoproteinski faktor« [apo A-I, Lp(a)]. Prediktivne
vrednosti u proceni 30-godišnjeg rizika za »komplet-
nu KVB« i »tešku KVB« su bile značajne za četiri fak-
tora (OR 1,892–5,590; P<0,0001 i OR 2,183–
5,931; P<0,0001, redom), a »hemodinamski fak-
tor« nije imao statistički značajan prediktivni potenci-
jal za vrednosti iznad optimalnih/normalnih za odgo-
varajući pol i starost (P>0,05). Površine ispod ROC
krivih (AUC) modela sa pet faktora u predikciji
povećanog 30-godišnjeg rizika za »kompletnu KVB« i
»tešku KVB« iznosile su 0,881 i 0,888, redom, i nisu
bile statistički značajno različite od multivarijabilnog
logističkog modela od 18 polaznih parametara
(0,892 i 0,901; P>0,05; redom). Sistemska inflama-
cija, aterogena dislipidemija, kardiorenalna funkcija i
lipoproteinski status nezavisno doprinose dugo-
ročnom, 30-godišnjem riziku iznad normalnog/opti-
malnog kako za ozbiljne komplikacije KVB, tako i za
sve vrste kardiovaskularnih komplikacija.
AB  - Several risk score algorithms for short-term (10-
year) cardiovascular risk assessment based on multi-
variable regression equations derived from different
cohorts are being used in clinical practice. However,
since the age is variable with the strongest influence
on short-term risk, many individuals with moderate
increase of other traditional risk factors would have a
10-year risk below cutoff for intensive treatment, but
a significant long-term (30-year) risk. Also, other bio-
markers might identify persons with higher actual
cardiovascular risk compared with calculated using
short-term risk scores. The aim of this study was to
analyze the nature of influence of examined biomark-
ers on cardiovascular risk and their clustering, as well
as relations of identified factors with long-term 30-
year risk categorization, using factor analysis.
Interactive calculator »30-year risk of cardiovascular
disease« was used for long-term 30-year risk calcula-
tion, for both »full CVD« (all manifestations of cardio-
vascular disease) and »hard CVD« (serious manifesta-
tions of CVD). Principal component analysis was used
to investigate clustering of markers of inflammation
[high sensitivity C-reactive protein (hsCRP), serum
amyloid A (SAA), fibrinogen, a1-acid glycoprotein
(A1AGP), haptoglobin, C3 and C4 complement
components], lipid metabolism [non-HDL and LDL
cholesterol, triglycerides, apolipoprotein A-I (apo A-
I), apolipoprotein B (apo B), lipoprotein (a) (Lp(a))], renal [creatinine, uric acid, cystatin C (Cys-C)] and
cardiac function [N-terminal pro-natriuretic peptide
type B (NT-proBNP), high sensitivity cardiac troponin
T (hs-cTnT)], obtained from 242 apparently healthy
individuals. Factor analysis identified five clusters,
which explained 67.4% of the total variance distrib-
uted as follows: 1) 29.7% »systemic inflammation«
(hsCRP, fibrinogen, SAA, A1AGP, haptoglobin, C3,
C4); 2) 12.5% »atherogenic dyslipidemia«, (LDL and
non-HDL cholesterol, apo B, triglycerides); 3) 11.0%
»cardiorenal factor« (creatinine, uric acid, Cys-C, hs-
cTnT); 4) 7.6% »hemodynamic factor« (NT-proBNP);
and 5) 6.7% »lipoprotein factor« [apo A-I, Lp(a)].
When estimating 30-year risk from both »full CVD«
and »hard CVD«, predictive values were significant
for four factors (OR 1.892–5.590, P<0.0001 and
OR 2.183–5.931, P<0.0001, respectively), and
»hemodynamic factor« had no statistical significance
in predicting potential for values above optimal/nor-
mal for corresponding gender and age (P>0.05).
The areas under the receiver operating characteristic
curves (AUCs) of the five factor model in predicting
increased 30-year risk for »full CVD« and »hard CVD«
were 0.881 and 0.888, respectively, which were not
statistically significantly different from AUCs of the
multivariable logistic model of 18 original parameters
(0.892 and 0.901, P>0.05, respectively). Long-
term, 30-year risk above normal/optimal for hard
CVD complications and for all kinds of cardiovascular
complications was independently contributed by sys-
temic inflammation, atherogenic dyslipidemia, car-
diorenal function and lipoprotein status.
PB  - Društvo medicinskih biohemičara Srbije, Beograd
C3  - XIX kongres medicinske i laboratorijske medicine sa me|unarodnim učešćem, 2015, Journal of Medical Chemistry, 34, 1, 2015.
T1  - Faktorska analiza povezanosti inflamatornih, lipidnih, srčanih i bubrežnih biomarkera sa Klasifikacijom dugoročnog 30-godišnjeg kardiovaskularnog rizika
T1  - Factor analysis of association of lipid, inflammatory, cardiac and renal biomarkers with long-term 30-year cardiovascular risk classification
VL  - 34
SP  - 68
EP  - 69
UR  - https://hdl.handle.net/21.15107/rcub_farfar_5491
ER  - 

@conference{
author = "Jovičić, Snežana and Ignjatović, Svetlana and Kangrga, Ranka and Dajak, Marijana and Majkić-Singh, Nada",
year = "2015",
abstract = "U kliničkoj praksi koristi se nekoliko skorova za
procenu kratkoročnog (10-godišnjeg) rizika od
pojave različitih oblika kardiovaskularnih bolesti
(KVB) koji se zasnivaju na multivarijabilnim regre-
sionim jednačinama izvedenim iz rezultata praćenja
različitih kohortnih grupa. Međutim, pošto je starost
promenljiva kojoj se dodeljuje najveći broj poena u
modelima 10-godišnjeg rizika, mnoge osobe sa zna
čajnim opterećenjem faktorima rizika imaju kratko-
ročni rizik daleko ispod granice koja uslovljava inten-
zivan tretman, iako njihov dugoročni (30-godišnji)
rizik može biti značajan. Takođe, drugi biomarkeri
mogu da identifikuju osobe sa većim kardiovasku-
larnim rizikom od onog izračunatog primenom skoro-
va kratkoročnog rizika. Cilj rada bio je da se analizira
priroda uticaja ispitivanih biomarkera na kardiovas-
kularni rizik i njihovo grupisanje, kao i povezanost
dobijenih faktora sa kategorizacijom 30-godišnjeg
rizika faktorskom analizom. Pomoću interaktivnog
kalkulatora »30-year risk of cardiovascular disease«
izračunavan je dugoročni 30-godišnji rizik za pojavu
»kompletne« KVB (sve manifestacije KVB) i »teške«
KVB (potencijalno fatalne komplikacije KVB). Analiza
glavnih komponenti je korišćena za ispitivanje
grupisanja markera inflamacije [visoko-osetljivi C-
reaktivni protein (hsCRP), serumski amiloid A (SAA),
fibrinogen, a1-kiseli glikoprotein (A1AGP), haptoglo-
bin, C3 i C4 komponente komplementa], metabo-lizma lipida [non-HDL i LDL holesterol, trigliceridi,
apolipoprotein A-I (apo A-I), apolipoprotein B (apo
B), lipoprotein (a) (Lp(a))], bubrežne [kreatinin,
mokraćna kiselina, cistatin C (Cys-C)] i srčane funk-
cije [N-terminalni pro-natriuretički peptid tip B (NT-
proBNP), visoko-osetljivi srčani troponin T (hs-cTnT)],
dobijenih analizom uzoraka seruma 242 zdrave oso-
be. Faktorskom analizom identifikovano je 5 klastera,
kojima je objašnjeno je 67,4% ukupne varijacije, ras-
poređene na sledeći način 1) 29,7% »sistemska infla-
macija« (hsCRP, fibrinogen, SAA, A1AGP, haptoglo-
bin, C3 i C4 komponenta komplementa); 2) 12,5%
»aterogena dislipidemija« (LDL i non-HDL holesterol,
apo B i trigliceridi); 3) 11,0% »kardiorenalni faktor«
(kreatinin, mokraćna kiselina, Cys-C i hs-cTnT); 4)
7,6% »hemodinamski faktor« (NT-proBNP) i 5) 6,7%
»lipoproteinski faktor« [apo A-I, Lp(a)]. Prediktivne
vrednosti u proceni 30-godišnjeg rizika za »komplet-
nu KVB« i »tešku KVB« su bile značajne za četiri fak-
tora (OR 1,892–5,590; P<0,0001 i OR 2,183–
5,931; P<0,0001, redom), a »hemodinamski fak-
tor« nije imao statistički značajan prediktivni potenci-
jal za vrednosti iznad optimalnih/normalnih za odgo-
varajući pol i starost (P>0,05). Površine ispod ROC
krivih (AUC) modela sa pet faktora u predikciji
povećanog 30-godišnjeg rizika za »kompletnu KVB« i
»tešku KVB« iznosile su 0,881 i 0,888, redom, i nisu
bile statistički značajno različite od multivarijabilnog
logističkog modela od 18 polaznih parametara
(0,892 i 0,901; P>0,05; redom). Sistemska inflama-
cija, aterogena dislipidemija, kardiorenalna funkcija i
lipoproteinski status nezavisno doprinose dugo-
ročnom, 30-godišnjem riziku iznad normalnog/opti-
malnog kako za ozbiljne komplikacije KVB, tako i za
sve vrste kardiovaskularnih komplikacija., Several risk score algorithms for short-term (10-
year) cardiovascular risk assessment based on multi-
variable regression equations derived from different
cohorts are being used in clinical practice. However,
since the age is variable with the strongest influence
on short-term risk, many individuals with moderate
increase of other traditional risk factors would have a
10-year risk below cutoff for intensive treatment, but
a significant long-term (30-year) risk. Also, other bio-
markers might identify persons with higher actual
cardiovascular risk compared with calculated using
short-term risk scores. The aim of this study was to
analyze the nature of influence of examined biomark-
ers on cardiovascular risk and their clustering, as well
as relations of identified factors with long-term 30-
year risk categorization, using factor analysis.
Interactive calculator »30-year risk of cardiovascular
disease« was used for long-term 30-year risk calcula-
tion, for both »full CVD« (all manifestations of cardio-
vascular disease) and »hard CVD« (serious manifesta-
tions of CVD). Principal component analysis was used
to investigate clustering of markers of inflammation
[high sensitivity C-reactive protein (hsCRP), serum
amyloid A (SAA), fibrinogen, a1-acid glycoprotein
(A1AGP), haptoglobin, C3 and C4 complement
components], lipid metabolism [non-HDL and LDL
cholesterol, triglycerides, apolipoprotein A-I (apo A-
I), apolipoprotein B (apo B), lipoprotein (a) (Lp(a))], renal [creatinine, uric acid, cystatin C (Cys-C)] and
cardiac function [N-terminal pro-natriuretic peptide
type B (NT-proBNP), high sensitivity cardiac troponin
T (hs-cTnT)], obtained from 242 apparently healthy
individuals. Factor analysis identified five clusters,
which explained 67.4% of the total variance distrib-
uted as follows: 1) 29.7% »systemic inflammation«
(hsCRP, fibrinogen, SAA, A1AGP, haptoglobin, C3,
C4); 2) 12.5% »atherogenic dyslipidemia«, (LDL and
non-HDL cholesterol, apo B, triglycerides); 3) 11.0%
»cardiorenal factor« (creatinine, uric acid, Cys-C, hs-
cTnT); 4) 7.6% »hemodynamic factor« (NT-proBNP);
and 5) 6.7% »lipoprotein factor« [apo A-I, Lp(a)].
When estimating 30-year risk from both »full CVD«
and »hard CVD«, predictive values were significant
for four factors (OR 1.892–5.590, P<0.0001 and
OR 2.183–5.931, P<0.0001, respectively), and
»hemodynamic factor« had no statistical significance
in predicting potential for values above optimal/nor-
mal for corresponding gender and age (P>0.05).
The areas under the receiver operating characteristic
curves (AUCs) of the five factor model in predicting
increased 30-year risk for »full CVD« and »hard CVD«
were 0.881 and 0.888, respectively, which were not
statistically significantly different from AUCs of the
multivariable logistic model of 18 original parameters
(0.892 and 0.901, P>0.05, respectively). Long-
term, 30-year risk above normal/optimal for hard
CVD complications and for all kinds of cardiovascular
complications was independently contributed by sys-
temic inflammation, atherogenic dyslipidemia, car-
diorenal function and lipoprotein status.",
publisher = "Društvo medicinskih biohemičara Srbije, Beograd",
journal = "XIX kongres medicinske i laboratorijske medicine sa me|unarodnim učešćem, 2015, Journal of Medical Chemistry, 34, 1, 2015.",
title = "Faktorska analiza povezanosti inflamatornih, lipidnih, srčanih i bubrežnih biomarkera sa Klasifikacijom dugoročnog 30-godišnjeg kardiovaskularnog rizika, Factor analysis of association of lipid, inflammatory, cardiac and renal biomarkers with long-term 30-year cardiovascular risk classification",
volume = "34",
pages = "68-69",
url = "https://hdl.handle.net/21.15107/rcub_farfar_5491"
}

Jovičić, S., Ignjatović, S., Kangrga, R., Dajak, M.,& Majkić-Singh, N.. (2015). Faktorska analiza povezanosti inflamatornih, lipidnih, srčanih i bubrežnih biomarkera sa Klasifikacijom dugoročnog 30-godišnjeg kardiovaskularnog rizika. in XIX kongres medicinske i laboratorijske medicine sa me|unarodnim učešćem, 2015, Journal of Medical Chemistry, 34, 1, 2015.
Društvo medicinskih biohemičara Srbije, Beograd., 34, 68-69.
https://hdl.handle.net/21.15107/rcub_farfar_5491

Jovičić S, Ignjatović S, Kangrga R, Dajak M, Majkić-Singh N. Faktorska analiza povezanosti inflamatornih, lipidnih, srčanih i bubrežnih biomarkera sa Klasifikacijom dugoročnog 30-godišnjeg kardiovaskularnog rizika. in XIX kongres medicinske i laboratorijske medicine sa me|unarodnim učešćem, 2015, Journal of Medical Chemistry, 34, 1, 2015.. 2015;34:68-69.
https://hdl.handle.net/21.15107/rcub_farfar_5491 .

Jovičić, Snežana, Ignjatović, Svetlana, Kangrga, Ranka, Dajak, Marijana, Majkić-Singh, Nada, "Faktorska analiza povezanosti inflamatornih, lipidnih, srčanih i bubrežnih biomarkera sa Klasifikacijom dugoročnog 30-godišnjeg kardiovaskularnog rizika" in XIX kongres medicinske i laboratorijske medicine sa me|unarodnim učešćem, 2015, Journal of Medical Chemistry, 34, 1, 2015., 34 (2015):68-69,
https://hdl.handle.net/21.15107/rcub_farfar_5491 .

TY  - JOUR
AU  - Jovičić, Snežana
AU  - Ignjatović, Svetlana
AU  - Kangrga, Ranka
AU  - Beletić, Anđelo
AU  - Mirković, Duško
AU  - Majkić-Singh, Nada
PY  - 2012
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1656
AB  - Determination of 25-hydroxyvitamin D [25(OH)D] represents a unique challenge, considering its lipophilic nature. Considering the widespread prevalence of vitamin D deficiency, which leads to increasing number of requests for 25(OH)D determination, immunoassay measurements adjusted to automated analyzers are being developed. Because of the variability among assays, it is often difficult to monitor vitamin D status and supplementation. The aim of this study was to compare the results of two immunoassays with high performance liquid chromatography with ultraviolet detection (HPLC-UV). Also, the aim was to estimate vitamin D status, since up to date the prevalence of vitamin D deficiency in Serbia was not examined. We have evaluated analytical characteristics of two automated immunoassays for 25(OH)D determination, from Roche (Cobas® e601) and Abbott (Architect). For comparison studies we used HPLC analysis of 25-(OH)-Vitamin D3/D2 from Chromsystems (Waters isocratic system). In order to estimate vitamin D status in general population, we have searched the database of the laboratory information system and analyzed the data from 533 patients whose 25(OH)D was determined together with intact parathyroid hormone (iPTH). For imprecision assessment, four serum pools were prepared with following 25(OH)D concentrations: 35 nmol/L, ?50 nmol/L, ?75 nmol/L and ?125 nmol/L. Obtai ned CVs for Roche method were 1.5-2.8% for within-run and 4.0-6.7% for between-run imprecision. For Abbott method, CVs were 0.7-4.4% for withinrun and 3.8-7.2% for between-run imprecision. Inaccuracy was analyzed with commercial control sera. Obtained deviations from target value were 2.1% for Roche assay and 1.3-1.5% for Abbott method, and were not statistically significant (P>0.05). Comparison of Roche and HPLC-UV methods using Passing-Bablok regression analysis gave the following equation for the regression line y=0.937x+9.518 (r=0.739; n=97) and the regression line equation from the comparison of Abbott and HPLC-UV methods was y=0.745x+10.343 (r=0.793; n=97). Mean difference and SD for Bland-Altman plot were -4.5 nmol/L and 21.75 nmo/L, respectively for Roche method and 6.4 nmol/L and 18.8 nmol/L, respectively for Abbott. Statistical analysis (Chi-square test) of frequency distribution among different vitamin D status categories ( lt 25 nmol/L severe deficiency, 25-50 nmol/L deficiency, 50-75 nmol/L insufficiency and >75 nmol/L sufficiency) showed that the frequency distribution obtained with Abbott method was significantly different from the distribution of the HPLC results, in contrast to Roche results frequency distribution which did not differ significantly. Also, statistical analysis of the agreement between the three methods for each vitamin D status category showed that results of both Roche and Abbott methods were significantly higher than HPLC in the two deficiency categories (P=0.005 for Roche, P=0.0407 for Abbott), and in the sufficiency category Abbott method significantly underestimated concentration of 25(OH)D compared to HPLC results (P lt 0.0001). Median population values of 25(OH)D and iPTH were 41.8 nmol/L and 76.6 ng/L, respectively. ANOVA analyses showed significant (P lt 0.05) decrease in iPTH and Ca2+ concentrations across the 25(OH)D concentration categories. Stepwise multiple linear regression analysis indicated independent correlation of iPTH with 25(OH)D concentration (b=-0.290, P=0.0008). Also, one-way ANOVA with Student-Newman-Keuls test demonstrated that 25(OH)D concentrations measured in summer and autumn were significantly (P lt 0.001) higher compared to those determined in winter and spring. Despite acceptable imprecision and inaccuracy of both examined methods, results obtained with them did not correlate well with HPLC-UV (r lt 0.9), which was used as a reference. However, methods showed satisfactory ability to classify patients into vitamin D status categories, which is important for diagnosis of vitamin D deficiency and therapy follow-up. About two thirds (68.5%) of the examined population had vitamin D deficiency (25(OH)D lt 50 nmol/L) and only 8% had sufficient 25(OH)D concentration (>75 nmol/L).
AB  - Određivanje 25-hidroksivitamina D [25(OH)D] predstavlja jedinstven izazov, s obzirom da je visoko lipofilno jedinjenje. Visoka prevalencija deficijencije vitamina D uzrok je povećanja broja zahteva za određivanjem 25(OH)D, zbog čega se razvijaju imunohemijske metode prilagođene automatizovanim sistemima. Često je teško pratiti status vitamina D i suplementaciju zbog varijabilnosti između testova. Cilj ove studije bio je da se uporede rezultati dve imunohemijske metode sa tečnom hromatografijom visoke efikasnosti sa detekcijom u ultraljubičastom delu spektra (HPLC-UV). Takođe, cilj je bio i procena statusa vitamina D, pošto do sada nije ispitivana prevalencija deficijencije vitamina D u Srbiji. Ispitivane su karakteristike dve imunohemijske metode za određivanje 25(OH)D, proizvođača Roche (analizator Cobas® e601) i Abbott (na analizatoru Architect). Metode su poređene sa rezultatima HPLC analize korišćenjem 25-(OH)-Vitamin D3/D2 reagenasa firme Chromsystems (Waters izokratski sistem). Da bi se procenio status vitamina D u opštoj populaciji, pretražena je baza podataka laboratorijskog informacionog sistema i analizirani su rezultati 533 pacijenata kojima je određen 25(OH)D zajedno sa intaktnim paratiroidnim hormonom (iPTH). Pripremljena su četiri serumska pool-a sa koncentracijama 25(OH)D ? 35 nmol/L, ?50 nmol/L, ?75 nmol/L i ?125 nmol/L za procenu nepreciznosti imunohemijskih određivanja. Dobijeni koeficijenti varijacije za Roche metodu su se kretali u opsegu 1,5-2,8% u seriji i 4,0-6,7% između serija. Za Abbott metodu su koficijenti varijacije iznosili 0,7-4,4% u seriji i 3,8-7,2% između serija. Netačnost je ispitivana pomoću komercijalnih kontrolnih uzoraka. Dobijena odstupanja od deklarisane vrednosti su iznosila 2,1% za Roche i 1,3-1,5% za Abbott, i nisu bila statistički značajna (P>0,05). Poređenjem Roche i HPLC-UV metoda pomoću Passing-Bablok regresione analize dobijena je sledeća regresiona jednačina y=0,937x+9,518 (r=0,739; n=97), dok regresiona jednačina dobijena poređenjem Abbott i HPLC-UV metoda glasi y=0,745x+10,343 (r=0,793; n=97). Srednja vrednost razlika na Bland-Altman dijagramu razlika i standardna devijacija su iznosile -4,5 nmol/L i 21,75 nmo/L, redom, za Roche metodu i 6,4 nmol/L i 18,8 nmol/L, re dom, za Abbott metodu. Statistička analiza (Chi-kvadrat test) distribucije frekvencija među različitim kategorijama statusa vitamina D ( lt 25 nmol/L teška deficijencija, 25-50 nmol/L deficijencija, 50-75 nmol/L insuficijencija i >75 nmol/L preporučena koncentracija) je pokazala da je distribucija frekvencija dobijena Abbott metodom značajno različita od distribucije HPLC rezultata, za razliku od ras po dele frekvencija dobijene Roche metodom koja se nije značajno razlikovala. Takođe, statistička analiza slaganja između ispitivane tri metode u svakoj od kategorija statusa vitamina D je pokazala da su rezultati i Roche i Abbott metoda značajno veći od HPLC-UV u kategorijama deficijencije vitamina D (P=0,005 za Roche; P=0,0407 za Abbott), i u kategoriji sa preporučenom koncentracijom vitamina D Abbott metoda je značajno potcenjivala koncentraciju 25(OH)D u poređenju sa HPLC rezultatima (P lt 0,0001). Medijana za 25(OH)D u ispitivanoj populaciji bila je 41,8 nmol/L, i 76,6 za iPTH. ANOVA analiza je pokazala značajan pad (P lt 0,05) koncentracija iPTH i jonizovanog kalcijuma između kategorija koncentracija 25(OH)D. Multiplomlinearnom regresionom analizom utvrđena je ne zavisna korelacija između koncentracija iPTH i 25(OH)D (b =-0,290; P=0,0008). Takođe, ANOVA za jedan kriterijum klasifikacije sa Student-Newman-Keuls testom je pokazala da su koncentracije 25(OH)D određene u leto i jesen značajno više (P lt 0,001) u poređenju sa onima određenim u zimu ili proleće. Uprkos prihvatljivoj nepreciznosti i netačnosti obe ispitivane imunohemijske metode, dobijeni rezultati nisu u zadovoljavajućoj korelaciji sa HPLC-UV metodom (r lt 0,9), koja je korišćena kao referentna u ovom slučaju. Uprkos ovoj činjenici, metode su pokazale zadovoljavajuću sposobnost klasifikacije pacijenata u kategorije statusa vitamina D, što je važno za dijagnozu deficijencije vitamina D i praćenje terapije. Oko dve trećine (68,5%) ispitivane populacije je imalo deficijenciju vitamina D (25(OH)D lt 50 nmol/L) i samo 8% je imalo preporučenu koncentraciju 25(OH)D (>75 nmol/L).
PB  - Društvo medicinskih biohemičara Srbije, Beograd i Versita
T2  - Journal of Medical Biochemistry
T1  - Comparison of three different methods for 25(OH)-vitamin D determination and vitamin D status in general population: Serbian experience
T1  - Poređenje tri različite metode za određivanje 25(OH)-vitamina D i statusa vitamina D u opštoj populaciji - srpsko iskustvo
VL  - 31
IS  - 4
SP  - 347
EP  - 357
UR  - https://hdl.handle.net/21.15107/rcub_farfar_1656
ER  - 

@article{
author = "Jovičić, Snežana and Ignjatović, Svetlana and Kangrga, Ranka and Beletić, Anđelo and Mirković, Duško and Majkić-Singh, Nada",
year = "2012",
abstract = "Determination of 25-hydroxyvitamin D [25(OH)D] represents a unique challenge, considering its lipophilic nature. Considering the widespread prevalence of vitamin D deficiency, which leads to increasing number of requests for 25(OH)D determination, immunoassay measurements adjusted to automated analyzers are being developed. Because of the variability among assays, it is often difficult to monitor vitamin D status and supplementation. The aim of this study was to compare the results of two immunoassays with high performance liquid chromatography with ultraviolet detection (HPLC-UV). Also, the aim was to estimate vitamin D status, since up to date the prevalence of vitamin D deficiency in Serbia was not examined. We have evaluated analytical characteristics of two automated immunoassays for 25(OH)D determination, from Roche (Cobas® e601) and Abbott (Architect). For comparison studies we used HPLC analysis of 25-(OH)-Vitamin D3/D2 from Chromsystems (Waters isocratic system). In order to estimate vitamin D status in general population, we have searched the database of the laboratory information system and analyzed the data from 533 patients whose 25(OH)D was determined together with intact parathyroid hormone (iPTH). For imprecision assessment, four serum pools were prepared with following 25(OH)D concentrations: 35 nmol/L, ?50 nmol/L, ?75 nmol/L and ?125 nmol/L. Obtai ned CVs for Roche method were 1.5-2.8% for within-run and 4.0-6.7% for between-run imprecision. For Abbott method, CVs were 0.7-4.4% for withinrun and 3.8-7.2% for between-run imprecision. Inaccuracy was analyzed with commercial control sera. Obtained deviations from target value were 2.1% for Roche assay and 1.3-1.5% for Abbott method, and were not statistically significant (P>0.05). Comparison of Roche and HPLC-UV methods using Passing-Bablok regression analysis gave the following equation for the regression line y=0.937x+9.518 (r=0.739; n=97) and the regression line equation from the comparison of Abbott and HPLC-UV methods was y=0.745x+10.343 (r=0.793; n=97). Mean difference and SD for Bland-Altman plot were -4.5 nmol/L and 21.75 nmo/L, respectively for Roche method and 6.4 nmol/L and 18.8 nmol/L, respectively for Abbott. Statistical analysis (Chi-square test) of frequency distribution among different vitamin D status categories ( lt 25 nmol/L severe deficiency, 25-50 nmol/L deficiency, 50-75 nmol/L insufficiency and >75 nmol/L sufficiency) showed that the frequency distribution obtained with Abbott method was significantly different from the distribution of the HPLC results, in contrast to Roche results frequency distribution which did not differ significantly. Also, statistical analysis of the agreement between the three methods for each vitamin D status category showed that results of both Roche and Abbott methods were significantly higher than HPLC in the two deficiency categories (P=0.005 for Roche, P=0.0407 for Abbott), and in the sufficiency category Abbott method significantly underestimated concentration of 25(OH)D compared to HPLC results (P lt 0.0001). Median population values of 25(OH)D and iPTH were 41.8 nmol/L and 76.6 ng/L, respectively. ANOVA analyses showed significant (P lt 0.05) decrease in iPTH and Ca2+ concentrations across the 25(OH)D concentration categories. Stepwise multiple linear regression analysis indicated independent correlation of iPTH with 25(OH)D concentration (b=-0.290, P=0.0008). Also, one-way ANOVA with Student-Newman-Keuls test demonstrated that 25(OH)D concentrations measured in summer and autumn were significantly (P lt 0.001) higher compared to those determined in winter and spring. Despite acceptable imprecision and inaccuracy of both examined methods, results obtained with them did not correlate well with HPLC-UV (r lt 0.9), which was used as a reference. However, methods showed satisfactory ability to classify patients into vitamin D status categories, which is important for diagnosis of vitamin D deficiency and therapy follow-up. About two thirds (68.5%) of the examined population had vitamin D deficiency (25(OH)D lt 50 nmol/L) and only 8% had sufficient 25(OH)D concentration (>75 nmol/L)., Određivanje 25-hidroksivitamina D [25(OH)D] predstavlja jedinstven izazov, s obzirom da je visoko lipofilno jedinjenje. Visoka prevalencija deficijencije vitamina D uzrok je povećanja broja zahteva za određivanjem 25(OH)D, zbog čega se razvijaju imunohemijske metode prilagođene automatizovanim sistemima. Često je teško pratiti status vitamina D i suplementaciju zbog varijabilnosti između testova. Cilj ove studije bio je da se uporede rezultati dve imunohemijske metode sa tečnom hromatografijom visoke efikasnosti sa detekcijom u ultraljubičastom delu spektra (HPLC-UV). Takođe, cilj je bio i procena statusa vitamina D, pošto do sada nije ispitivana prevalencija deficijencije vitamina D u Srbiji. Ispitivane su karakteristike dve imunohemijske metode za određivanje 25(OH)D, proizvođača Roche (analizator Cobas® e601) i Abbott (na analizatoru Architect). Metode su poređene sa rezultatima HPLC analize korišćenjem 25-(OH)-Vitamin D3/D2 reagenasa firme Chromsystems (Waters izokratski sistem). Da bi se procenio status vitamina D u opštoj populaciji, pretražena je baza podataka laboratorijskog informacionog sistema i analizirani su rezultati 533 pacijenata kojima je određen 25(OH)D zajedno sa intaktnim paratiroidnim hormonom (iPTH). Pripremljena su četiri serumska pool-a sa koncentracijama 25(OH)D ? 35 nmol/L, ?50 nmol/L, ?75 nmol/L i ?125 nmol/L za procenu nepreciznosti imunohemijskih određivanja. Dobijeni koeficijenti varijacije za Roche metodu su se kretali u opsegu 1,5-2,8% u seriji i 4,0-6,7% između serija. Za Abbott metodu su koficijenti varijacije iznosili 0,7-4,4% u seriji i 3,8-7,2% između serija. Netačnost je ispitivana pomoću komercijalnih kontrolnih uzoraka. Dobijena odstupanja od deklarisane vrednosti su iznosila 2,1% za Roche i 1,3-1,5% za Abbott, i nisu bila statistički značajna (P>0,05). Poređenjem Roche i HPLC-UV metoda pomoću Passing-Bablok regresione analize dobijena je sledeća regresiona jednačina y=0,937x+9,518 (r=0,739; n=97), dok regresiona jednačina dobijena poređenjem Abbott i HPLC-UV metoda glasi y=0,745x+10,343 (r=0,793; n=97). Srednja vrednost razlika na Bland-Altman dijagramu razlika i standardna devijacija su iznosile -4,5 nmol/L i 21,75 nmo/L, redom, za Roche metodu i 6,4 nmol/L i 18,8 nmol/L, re dom, za Abbott metodu. Statistička analiza (Chi-kvadrat test) distribucije frekvencija među različitim kategorijama statusa vitamina D ( lt 25 nmol/L teška deficijencija, 25-50 nmol/L deficijencija, 50-75 nmol/L insuficijencija i >75 nmol/L preporučena koncentracija) je pokazala da je distribucija frekvencija dobijena Abbott metodom značajno različita od distribucije HPLC rezultata, za razliku od ras po dele frekvencija dobijene Roche metodom koja se nije značajno razlikovala. Takođe, statistička analiza slaganja između ispitivane tri metode u svakoj od kategorija statusa vitamina D je pokazala da su rezultati i Roche i Abbott metoda značajno veći od HPLC-UV u kategorijama deficijencije vitamina D (P=0,005 za Roche; P=0,0407 za Abbott), i u kategoriji sa preporučenom koncentracijom vitamina D Abbott metoda je značajno potcenjivala koncentraciju 25(OH)D u poređenju sa HPLC rezultatima (P lt 0,0001). Medijana za 25(OH)D u ispitivanoj populaciji bila je 41,8 nmol/L, i 76,6 za iPTH. ANOVA analiza je pokazala značajan pad (P lt 0,05) koncentracija iPTH i jonizovanog kalcijuma između kategorija koncentracija 25(OH)D. Multiplomlinearnom regresionom analizom utvrđena je ne zavisna korelacija između koncentracija iPTH i 25(OH)D (b =-0,290; P=0,0008). Takođe, ANOVA za jedan kriterijum klasifikacije sa Student-Newman-Keuls testom je pokazala da su koncentracije 25(OH)D određene u leto i jesen značajno više (P lt 0,001) u poređenju sa onima određenim u zimu ili proleće. Uprkos prihvatljivoj nepreciznosti i netačnosti obe ispitivane imunohemijske metode, dobijeni rezultati nisu u zadovoljavajućoj korelaciji sa HPLC-UV metodom (r lt 0,9), koja je korišćena kao referentna u ovom slučaju. Uprkos ovoj činjenici, metode su pokazale zadovoljavajuću sposobnost klasifikacije pacijenata u kategorije statusa vitamina D, što je važno za dijagnozu deficijencije vitamina D i praćenje terapije. Oko dve trećine (68,5%) ispitivane populacije je imalo deficijenciju vitamina D (25(OH)D lt 50 nmol/L) i samo 8% je imalo preporučenu koncentraciju 25(OH)D (>75 nmol/L).",
publisher = "Društvo medicinskih biohemičara Srbije, Beograd i Versita",
journal = "Journal of Medical Biochemistry",
title = "Comparison of three different methods for 25(OH)-vitamin D determination and vitamin D status in general population: Serbian experience, Poređenje tri različite metode za određivanje 25(OH)-vitamina D i statusa vitamina D u opštoj populaciji - srpsko iskustvo",
volume = "31",
number = "4",
pages = "347-357",
url = "https://hdl.handle.net/21.15107/rcub_farfar_1656"
}

Jovičić, S., Ignjatović, S., Kangrga, R., Beletić, A., Mirković, D.,& Majkić-Singh, N.. (2012). Comparison of three different methods for 25(OH)-vitamin D determination and vitamin D status in general population: Serbian experience. in Journal of Medical Biochemistry
Društvo medicinskih biohemičara Srbije, Beograd i Versita., 31(4), 347-357.
https://hdl.handle.net/21.15107/rcub_farfar_1656

Jovičić S, Ignjatović S, Kangrga R, Beletić A, Mirković D, Majkić-Singh N. Comparison of three different methods for 25(OH)-vitamin D determination and vitamin D status in general population: Serbian experience. in Journal of Medical Biochemistry. 2012;31(4):347-357.
https://hdl.handle.net/21.15107/rcub_farfar_1656 .

Jovičić, Snežana, Ignjatović, Svetlana, Kangrga, Ranka, Beletić, Anđelo, Mirković, Duško, Majkić-Singh, Nada, "Comparison of three different methods for 25(OH)-vitamin D determination and vitamin D status in general population: Serbian experience" in Journal of Medical Biochemistry, 31, no. 4 (2012):347-357,
https://hdl.handle.net/21.15107/rcub_farfar_1656 .

TY  - CONF
AU  - Jovičić, Snežana
AU  - Ignjatović, Svetlana
AU  - Kangrga, Ranka
AU  - Majkić-Singh, Nada
PY  - 2011
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1551
PB  - Walter de Gruyter & Co, Berlin
C3  - Clinical Chemistry and Laboratory Medicine
T1  - A retrospective study of vitamin d deficiency in Serbian population
VL  - 49
UR  - https://hdl.handle.net/21.15107/rcub_farfar_1551
ER  - 

@conference{
author = "Jovičić, Snežana and Ignjatović, Svetlana and Kangrga, Ranka and Majkić-Singh, Nada",
year = "2011",
publisher = "Walter de Gruyter & Co, Berlin",
journal = "Clinical Chemistry and Laboratory Medicine",
title = "A retrospective study of vitamin d deficiency in Serbian population",
volume = "49",
url = "https://hdl.handle.net/21.15107/rcub_farfar_1551"
}

Jovičić, S., Ignjatović, S., Kangrga, R.,& Majkić-Singh, N.. (2011). A retrospective study of vitamin d deficiency in Serbian population. in Clinical Chemistry and Laboratory Medicine
Walter de Gruyter & Co, Berlin., 49.
https://hdl.handle.net/21.15107/rcub_farfar_1551

Jovičić S, Ignjatović S, Kangrga R, Majkić-Singh N. A retrospective study of vitamin d deficiency in Serbian population. in Clinical Chemistry and Laboratory Medicine. 2011;49.
https://hdl.handle.net/21.15107/rcub_farfar_1551 .

Jovičić, Snežana, Ignjatović, Svetlana, Kangrga, Ranka, Majkić-Singh, Nada, "A retrospective study of vitamin d deficiency in Serbian population" in Clinical Chemistry and Laboratory Medicine, 49 (2011),
https://hdl.handle.net/21.15107/rcub_farfar_1551 .

TY  - CONF
AU  - Kangrga, Ranka
AU  - Dajak, Marijana
AU  - Dragasević, M.
AU  - Ignjatović, Svetlana
AU  - Majkić-Singh, Nada
PY  - 2011
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1528
PB  - Walter de Gruyter & Co, Berlin
C3  - Clinical Chemistry and Laboratory Medicine
T1  - Faecal elastase 1 levels as a marker of exocrine pancreatic function in patients with diabetes mellitus
VL  - 49
UR  - https://hdl.handle.net/21.15107/rcub_farfar_1528
ER  - 

@conference{
author = "Kangrga, Ranka and Dajak, Marijana and Dragasević, M. and Ignjatović, Svetlana and Majkić-Singh, Nada",
year = "2011",
publisher = "Walter de Gruyter & Co, Berlin",
journal = "Clinical Chemistry and Laboratory Medicine",
title = "Faecal elastase 1 levels as a marker of exocrine pancreatic function in patients with diabetes mellitus",
volume = "49",
url = "https://hdl.handle.net/21.15107/rcub_farfar_1528"
}

Kangrga, R., Dajak, M., Dragasević, M., Ignjatović, S.,& Majkić-Singh, N.. (2011). Faecal elastase 1 levels as a marker of exocrine pancreatic function in patients with diabetes mellitus. in Clinical Chemistry and Laboratory Medicine
Walter de Gruyter & Co, Berlin., 49.
https://hdl.handle.net/21.15107/rcub_farfar_1528

Kangrga R, Dajak M, Dragasević M, Ignjatović S, Majkić-Singh N. Faecal elastase 1 levels as a marker of exocrine pancreatic function in patients with diabetes mellitus. in Clinical Chemistry and Laboratory Medicine. 2011;49.
https://hdl.handle.net/21.15107/rcub_farfar_1528 .

Kangrga, Ranka, Dajak, Marijana, Dragasević, M., Ignjatović, Svetlana, Majkić-Singh, Nada, "Faecal elastase 1 levels as a marker of exocrine pancreatic function in patients with diabetes mellitus" in Clinical Chemistry and Laboratory Medicine, 49 (2011),
https://hdl.handle.net/21.15107/rcub_farfar_1528 .

TY  - JOUR
AU  - Jovičić, Snežana
AU  - Ignjatović, Svetlana
AU  - Dajak, Marijana
AU  - Kangrga, Ranka
AU  - Majkić-Singh, Nada
PY  - 2009
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1198
AB  - Background: High-sensitivity C-reactive protein (hsCRP) has been recognized as an independent marker of cardiovascular risk. Since atherosclerosis is a multifactorial disease, the aim of this study was to determine association between hsCRP and other markers of inflammation and dyslipidemia. Materials and Methods: In 242 healthy volunteers, total cholesterol (TC), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), nonHDL-C, triglycerides (TG) and hsCRP were measured using Olympus AU2700. Apolipoprotein A-1 (apoA1), apolipoprotein B (apo B), lipoprotein (a) (Lp(a)), haptoglobin, alpha(1)-acid glycoprotein (A1AGP), C3 and C4 complement components were determined on Architect c8000, and serum amyloid A (SAA) and fibrinogen on BN II nephelometer and ACL 7000, respectively. Results: Significant (P  lt  0.05) partial Pearson's correlation coefficients were found between hsCRP and TC (r = 0.172), nonHDL-C (r = 0.182), LDL-C (r = 0.154), apoB (r = 0.167), fibrinogen (r = 0.411), SAA (r = 0.493), A1AGP (r = 0.462), haptoglobin (r = 0.310), C3 (r = 0.349) and C4 (r = 0.371). In multiple regression analysis, BMI, SAA, A1AGP, fibrinogen and nonHDL-C showed independent correlation with hsCRP. Multinomial logistic regression analysis demonstrated that BMI, nonHDL, fibrinogen and SAA were strong predictors of hsCRP concentration. Odds ratios for intermediate and high risk categories compared with the low risk category were 1.177 (1.033-1.341) and 1.289 (1.091-1.523), 1.515 (1.021-2.249) and 2.062 (1.246-3.411), 2.241 (1.268-3.959) and 7.123 (3.259-15.568), and 1.387 (1.179-1.632) and 1.691 (1.397-2.047), for BMI, nonHDL-C, fibrinogen and SAA, respectively. Conclusion: The prediction of risk for future cardiac events based on hsCRP concentration, which is the recommended parameter for improving cardiovascular risk stratification, might be complemented with the information about BMI, nonHDL-C, fibrinogen and SAA. (Clin. Lab. 2009;55:411-419)
PB  - Clin Lab Publ, Heidelberg
T2  - Clinical Laboratory
T1  - Association of Lipid and Inflammatory Markers with C-Reactive Protein in Cardiovascular Risk Assessment for Primary Prevention
VL  - 55
IS  - 11-12
SP  - 411
EP  - 419
UR  - https://hdl.handle.net/21.15107/rcub_farfar_1198
ER  - 

@article{
author = "Jovičić, Snežana and Ignjatović, Svetlana and Dajak, Marijana and Kangrga, Ranka and Majkić-Singh, Nada",
year = "2009",
abstract = "Background: High-sensitivity C-reactive protein (hsCRP) has been recognized as an independent marker of cardiovascular risk. Since atherosclerosis is a multifactorial disease, the aim of this study was to determine association between hsCRP and other markers of inflammation and dyslipidemia. Materials and Methods: In 242 healthy volunteers, total cholesterol (TC), HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), nonHDL-C, triglycerides (TG) and hsCRP were measured using Olympus AU2700. Apolipoprotein A-1 (apoA1), apolipoprotein B (apo B), lipoprotein (a) (Lp(a)), haptoglobin, alpha(1)-acid glycoprotein (A1AGP), C3 and C4 complement components were determined on Architect c8000, and serum amyloid A (SAA) and fibrinogen on BN II nephelometer and ACL 7000, respectively. Results: Significant (P  lt  0.05) partial Pearson's correlation coefficients were found between hsCRP and TC (r = 0.172), nonHDL-C (r = 0.182), LDL-C (r = 0.154), apoB (r = 0.167), fibrinogen (r = 0.411), SAA (r = 0.493), A1AGP (r = 0.462), haptoglobin (r = 0.310), C3 (r = 0.349) and C4 (r = 0.371). In multiple regression analysis, BMI, SAA, A1AGP, fibrinogen and nonHDL-C showed independent correlation with hsCRP. Multinomial logistic regression analysis demonstrated that BMI, nonHDL, fibrinogen and SAA were strong predictors of hsCRP concentration. Odds ratios for intermediate and high risk categories compared with the low risk category were 1.177 (1.033-1.341) and 1.289 (1.091-1.523), 1.515 (1.021-2.249) and 2.062 (1.246-3.411), 2.241 (1.268-3.959) and 7.123 (3.259-15.568), and 1.387 (1.179-1.632) and 1.691 (1.397-2.047), for BMI, nonHDL-C, fibrinogen and SAA, respectively. Conclusion: The prediction of risk for future cardiac events based on hsCRP concentration, which is the recommended parameter for improving cardiovascular risk stratification, might be complemented with the information about BMI, nonHDL-C, fibrinogen and SAA. (Clin. Lab. 2009;55:411-419)",
publisher = "Clin Lab Publ, Heidelberg",
journal = "Clinical Laboratory",
title = "Association of Lipid and Inflammatory Markers with C-Reactive Protein in Cardiovascular Risk Assessment for Primary Prevention",
volume = "55",
number = "11-12",
pages = "411-419",
url = "https://hdl.handle.net/21.15107/rcub_farfar_1198"
}

Jovičić, S., Ignjatović, S., Dajak, M., Kangrga, R.,& Majkić-Singh, N.. (2009). Association of Lipid and Inflammatory Markers with C-Reactive Protein in Cardiovascular Risk Assessment for Primary Prevention. in Clinical Laboratory
Clin Lab Publ, Heidelberg., 55(11-12), 411-419.
https://hdl.handle.net/21.15107/rcub_farfar_1198

Jovičić S, Ignjatović S, Dajak M, Kangrga R, Majkić-Singh N. Association of Lipid and Inflammatory Markers with C-Reactive Protein in Cardiovascular Risk Assessment for Primary Prevention. in Clinical Laboratory. 2009;55(11-12):411-419.
https://hdl.handle.net/21.15107/rcub_farfar_1198 .

Jovičić, Snežana, Ignjatović, Svetlana, Dajak, Marijana, Kangrga, Ranka, Majkić-Singh, Nada, "Association of Lipid and Inflammatory Markers with C-Reactive Protein in Cardiovascular Risk Assessment for Primary Prevention" in Clinical Laboratory, 55, no. 11-12 (2009):411-419,
https://hdl.handle.net/21.15107/rcub_farfar_1198 .

TY  - JOUR
AU  - Jovičić, Snežana
AU  - Ignjatović, Svetlana
AU  - Dajak, Marijana
AU  - Kangrga, Ranka
AU  - Majkić-Singh, Nada
PY  - 2005
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/653
AB  - Total iron-binding capacity (TIBC) values are determined on Olympus AU2700 automated chemistry analyzer as the sum of serum iron and unsaturated iron-binding capacity (UIBC) - (calculated TIBC, TIBCcal). Considering that Olympus AU2700 automated analyzer was recently brought in function and TIBC values calculated from serum iron and UIBC values were significantly lower than those obtained by a direct and fully automated TIBC assay, it was necessary to determine the reference interval for TIBC, according to the recommendation that every laboratory should have its own reference ranges. The "calculation method" of TIBC determination showed satisfactory accuracy (p > 0.001) and precision, with CV values ranging from 0.91% to 1.63% within-run and from 2.30% to 2.80% day-to-day. The correlation between the TIBC values obtained with the "calculation method" using Olympus AU2700 analyzer (y) and those obtained with the direct method (x) was: y = 0.919x + 2.319 mmol/L (r = 0.980; Sy,x = 1.814; p  lt  0.001; N = 85). The reference interval for TIBC was determined using sera collected from 125 healthy individuals of both sexes, 15 to 80 years old. Since the values did not depend on sex, the reference interval calculated for the whole studied population ranged between 42.0 mmol/L and 64.3 mmol/L.
AB  - Ukupni kapacitet vezivanja gvožđa (TIBC) se određuje na analizatoru Olympus AU2700 kao zbir serumskog gvožđa i slobodnog kapaciteta za vezivanje gvožđa (UIBC) - (izračunat TIBC, TIBCcal). S obzirom da je analizator Olympus AU2700 nedavno uveden u rad i da rezultati istraživanja poslednjih godina pokazuju da se "metodom izračunavanja" dobijaju vrednosti TIBC-a koje su značajno niže od onih dobijenih direktnim i potpuno automatizovanim metodama, bilo je neophodno da se odredi referentni interval za TIBC, a prema preporuci da svaka laboratorija treba da utvrdi svoje referentne vrednosti. "Metoda izračunavanja" TIBC-a je pokazala zadovoljavajuću tačnost (p > 0,001) i preciznost, sa koeficijentima varijacije od 0,91% do 1,63% pri određivanju u seriji i od 2,30% do 2,80% pri određivanju iz dana u dan. Korelacija između vrednosti TIBC-a dobijenih "metodom izračunavanja" na analizatoru Olympus AU2700 (y) i onih dobijenih direktnom metodom (x) predstavljena je sledećim parametrima: y = 0,919x + 2,319 mmol/L (r = 0,980; Sy,x = 1,814; p  lt  0,001); N = 85). Referentni interval je određivan u uzorcima seruma 125 zdravih osoba oba pola, starosti između 15 i 80 godina. Pošto je utvrđeno da vrednosti TIBC-a ne zavise od pola, određen je jedinstven referentni interval za celu ispitivanu populaciju i nalazi se u rasponu od 42,0 mmol/L do 64,3 mmol/L.
PB  - Društvo medicinskih biohemičara Srbije i Crne Gore, Beograd i Univerzitet u Beogradu - Farmaceutski fakultet, Beograd
T2  - Jugoslovenska medicinska biohemija
T1  - Reference interval for calculated total iron-binding capacity using Olympus AU2700 analyzer
T1  - Referentni interval ukupnog kapaciteta vezivanja gvožđa određivanog 'metodom izračunavanja' na analizatoru Olympus AU2700
VL  - 24
IS  - 1
SP  - 45
EP  - 49
DO  - 10.2298/JMH0501045J
ER  - 

@article{
author = "Jovičić, Snežana and Ignjatović, Svetlana and Dajak, Marijana and Kangrga, Ranka and Majkić-Singh, Nada",
year = "2005",
abstract = "Total iron-binding capacity (TIBC) values are determined on Olympus AU2700 automated chemistry analyzer as the sum of serum iron and unsaturated iron-binding capacity (UIBC) - (calculated TIBC, TIBCcal). Considering that Olympus AU2700 automated analyzer was recently brought in function and TIBC values calculated from serum iron and UIBC values were significantly lower than those obtained by a direct and fully automated TIBC assay, it was necessary to determine the reference interval for TIBC, according to the recommendation that every laboratory should have its own reference ranges. The "calculation method" of TIBC determination showed satisfactory accuracy (p > 0.001) and precision, with CV values ranging from 0.91% to 1.63% within-run and from 2.30% to 2.80% day-to-day. The correlation between the TIBC values obtained with the "calculation method" using Olympus AU2700 analyzer (y) and those obtained with the direct method (x) was: y = 0.919x + 2.319 mmol/L (r = 0.980; Sy,x = 1.814; p  lt  0.001; N = 85). The reference interval for TIBC was determined using sera collected from 125 healthy individuals of both sexes, 15 to 80 years old. Since the values did not depend on sex, the reference interval calculated for the whole studied population ranged between 42.0 mmol/L and 64.3 mmol/L., Ukupni kapacitet vezivanja gvožđa (TIBC) se određuje na analizatoru Olympus AU2700 kao zbir serumskog gvožđa i slobodnog kapaciteta za vezivanje gvožđa (UIBC) - (izračunat TIBC, TIBCcal). S obzirom da je analizator Olympus AU2700 nedavno uveden u rad i da rezultati istraživanja poslednjih godina pokazuju da se "metodom izračunavanja" dobijaju vrednosti TIBC-a koje su značajno niže od onih dobijenih direktnim i potpuno automatizovanim metodama, bilo je neophodno da se odredi referentni interval za TIBC, a prema preporuci da svaka laboratorija treba da utvrdi svoje referentne vrednosti. "Metoda izračunavanja" TIBC-a je pokazala zadovoljavajuću tačnost (p > 0,001) i preciznost, sa koeficijentima varijacije od 0,91% do 1,63% pri određivanju u seriji i od 2,30% do 2,80% pri određivanju iz dana u dan. Korelacija između vrednosti TIBC-a dobijenih "metodom izračunavanja" na analizatoru Olympus AU2700 (y) i onih dobijenih direktnom metodom (x) predstavljena je sledećim parametrima: y = 0,919x + 2,319 mmol/L (r = 0,980; Sy,x = 1,814; p  lt  0,001); N = 85). Referentni interval je određivan u uzorcima seruma 125 zdravih osoba oba pola, starosti između 15 i 80 godina. Pošto je utvrđeno da vrednosti TIBC-a ne zavise od pola, određen je jedinstven referentni interval za celu ispitivanu populaciju i nalazi se u rasponu od 42,0 mmol/L do 64,3 mmol/L.",
publisher = "Društvo medicinskih biohemičara Srbije i Crne Gore, Beograd i Univerzitet u Beogradu - Farmaceutski fakultet, Beograd",
journal = "Jugoslovenska medicinska biohemija",
title = "Reference interval for calculated total iron-binding capacity using Olympus AU2700 analyzer, Referentni interval ukupnog kapaciteta vezivanja gvožđa određivanog 'metodom izračunavanja' na analizatoru Olympus AU2700",
volume = "24",
number = "1",
pages = "45-49",
doi = "10.2298/JMH0501045J"
}

Jovičić, S., Ignjatović, S., Dajak, M., Kangrga, R.,& Majkić-Singh, N.. (2005). Reference interval for calculated total iron-binding capacity using Olympus AU2700 analyzer. in Jugoslovenska medicinska biohemija
Društvo medicinskih biohemičara Srbije i Crne Gore, Beograd i Univerzitet u Beogradu - Farmaceutski fakultet, Beograd., 24(1), 45-49.
https://doi.org/10.2298/JMH0501045J

Jovičić S, Ignjatović S, Dajak M, Kangrga R, Majkić-Singh N. Reference interval for calculated total iron-binding capacity using Olympus AU2700 analyzer. in Jugoslovenska medicinska biohemija. 2005;24(1):45-49.
doi:10.2298/JMH0501045J .

Jovičić, Snežana, Ignjatović, Svetlana, Dajak, Marijana, Kangrga, Ranka, Majkić-Singh, Nada, "Reference interval for calculated total iron-binding capacity using Olympus AU2700 analyzer" in Jugoslovenska medicinska biohemija, 24, no. 1 (2005):45-49,
https://doi.org/10.2298/JMH0501045J . .