Abstract | INTRODUCTION: METHODS: Functional PrC, PrS and AT were analysed in 515 cirrhotic patients and compared with 229 noncirrhotics. Among those with cirrhosis, we conducted multivariable predictive model on 3-month survival to assess the prognostic ability of anticoagulants. RESULTS:
Protein C (P < .001), PrS (P < .001) and AT (P < .001) levels were lower in cirrhotics compared with noncirrhotics. In addition, patients with Child-Pugh (CP)-C had significantly lower (P < .05) functional PrC, PrS and AT levels than CP-B, CP-A and noncirrhotic patients. Low PrC function correlated with markers of liver dysfunction and inflammation: INR(r = -.72, P < .001), bilirubin (r = -.620, P < .001), albumin (r = .539, P < .001), creatinine (r = -.417, P < .001), ferritin (r = -.68, P = .035), procalcitonin (r = -.79, P = .01), raised ESR (r = .56, P < .001) and liver fibrosis (r = -.840, P < .001). Patients who died (n = 160) had significantly lower median PrC function (23.8%, 16.3-33.0]) compared with those who remained alive (74.9%, [59.7-92.5]); P < .001. In a multivariable predictive model using PrC, and MELD score, we found a significant impact of low PrC levels on survival (P < .001, IRR = 0.97, 95% CI = 0.96-0.98). Receiver operating characteristic (ROC) curve analysis revealed that functional PrC levels <52% were associated with increased mortality (P < .001). CONCLUSION:
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Authors | A G Patil, C Bihari, H D Shewade, N Nigam, S K Sarin |
Journal | International journal of laboratory hematology
(Int J Lab Hematol)
Vol. 40
Issue 4
Pg. 466-472
(Aug 2018)
ISSN: 1751-553X [Electronic] England |
PMID | 29704446
(Publication Type: Journal Article)
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Copyright | © 2018 John Wiley & Sons Ltd. |
Chemical References |
- Biomarkers
- Protein C
- Protein S
- Antithrombin III
|
Topics |
- Adult
- Aged
- Antithrombin III
(analysis)
- Biomarkers
(blood)
- Case-Control Studies
- Female
- Humans
- Liver Cirrhosis
(blood, diagnosis)
- Male
- Middle Aged
- Predictive Value of Tests
- Prognosis
- Protein C
(analysis)
- Protein S
(analysis)
- ROC Curve
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