Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracy
Objective: Role of serum procalcitonin (PCT) in critically ill patients is well defined for identification of bacterial infection but it’s role in prediction of survival is not well established. We studied plasma kinetics of PCT, over the first three critical care days to validate its role in predic...
| Hauptverfasser: | , , , |
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| Format: | Artikel |
| Sprache: | English |
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Center for Scientific Research and Development of Education.
2024-01-01
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| Schriftenreihe: | Heart Vessels and Transplantation |
| Schlagworte: | |
| Online Zugang: | http://hvt-journal.com/articles/art454 |
| _version_ | 1827368766271389696 |
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| author | Abhishek Verma Karan Kaushik Amit Taluja Pratik Shah |
| author_facet | Abhishek Verma Karan Kaushik Amit Taluja Pratik Shah |
| author_sort | Abhishek Verma |
| collection | DOAJ |
| description | Objective: Role of serum procalcitonin (PCT) in critically ill patients is well defined for identification of bacterial infection but it’s role in prediction of survival is not well established. We studied plasma kinetics of PCT, over the first three critical care days to validate its role in prediction of survival of patients with sepsis according to plasma level.
Methods: A prospective observational study was conducted in CCU (KGMU). Total 53 consecutive patients either sex were recruited. Patients with systemic inflammatory response syndrome (SIRS) were recruited. PCT was measured on 1st and 3rd days. We studied 50 days survival using Kaplan-Meier analysis and diagnostic accuracy of PCT using ROC analysis.
Results: In our study, PCT was statistically significantly higher in non-survivor patients compared to survivor patients (p<0.05). ROC curve was made with PCT based on culture at both time intervals. On the basis of ROC curve, we determined a cut-off value as 12.21 ng/ml of PCT on day 3 to predict sepsis with high sensitivity (93.7%) and specificity (71.4%). Area under curve (AUC) was also higher observed at day 3 (AUC=0.864, p<0.001) compared to day 1 (AUC=0.658, p<0.05). According to Kaplan-Meier curve, risk of mortality was by 83% (HR 0.17(95% 0.07-0.44)) lower in low sepsis category group (≤12.21 ng/ml) compared to high sepsis category group (>12.21 ng/ml).
Conclusion: According to our study results, we conclude that serum PCT has good clinical diagnostic and prognostic values in prediction of survival in patients with sepsis. Kinetic studies of PCT can improve sensitivity and accuracy when evaluating the prognosis of patients with sepsis as well as survival rate. |
| first_indexed | 2024-03-08T09:36:27Z |
| format | Article |
| id | doaj.art-0b59ca47bd714f89bbe3c6dc13b51a05 |
| institution | Directory Open Access Journal |
| issn | 1694-7886 1694-7894 |
| language | English |
| last_indexed | 2024-03-08T09:36:27Z |
| publishDate | 2024-01-01 |
| publisher | Center for Scientific Research and Development of Education. |
| record_format | Article |
| series | Heart Vessels and Transplantation |
| spelling | doaj.art-0b59ca47bd714f89bbe3c6dc13b51a052024-01-30T07:55:29ZengCenter for Scientific Research and Development of Education.Heart Vessels and Transplantation1694-78861694-78942024-01-018110.24969/hvt.2024.454Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracyAbhishek Verma0Karan Kaushik1Amit Taluja2Pratik Shah3Department of Cardiac Anesthesia, U.N.Mehta Institute of Cardiology and Research Center Ahmadabad, Gujarat, IndiaDepartment of Cardiac Anesthesia, U.N.Mehta Institute of Cardiology and Research Center Ahmadabad, Gujarat, IndiaDepartment of Cardiac Anesthesia, U.N.Mehta Institute of Cardiology and Research Center Ahmadabad, Gujarat, IndiaU.N.Mehta Institute of Cardiology and Research Center Ahmadabad, Gujarat, IndiaObjective: Role of serum procalcitonin (PCT) in critically ill patients is well defined for identification of bacterial infection but it’s role in prediction of survival is not well established. We studied plasma kinetics of PCT, over the first three critical care days to validate its role in prediction of survival of patients with sepsis according to plasma level. Methods: A prospective observational study was conducted in CCU (KGMU). Total 53 consecutive patients either sex were recruited. Patients with systemic inflammatory response syndrome (SIRS) were recruited. PCT was measured on 1st and 3rd days. We studied 50 days survival using Kaplan-Meier analysis and diagnostic accuracy of PCT using ROC analysis. Results: In our study, PCT was statistically significantly higher in non-survivor patients compared to survivor patients (p<0.05). ROC curve was made with PCT based on culture at both time intervals. On the basis of ROC curve, we determined a cut-off value as 12.21 ng/ml of PCT on day 3 to predict sepsis with high sensitivity (93.7%) and specificity (71.4%). Area under curve (AUC) was also higher observed at day 3 (AUC=0.864, p<0.001) compared to day 1 (AUC=0.658, p<0.05). According to Kaplan-Meier curve, risk of mortality was by 83% (HR 0.17(95% 0.07-0.44)) lower in low sepsis category group (≤12.21 ng/ml) compared to high sepsis category group (>12.21 ng/ml). Conclusion: According to our study results, we conclude that serum PCT has good clinical diagnostic and prognostic values in prediction of survival in patients with sepsis. Kinetic studies of PCT can improve sensitivity and accuracy when evaluating the prognosis of patients with sepsis as well as survival rate.http://hvt-journal.com/articles/art454sepsissystemic inflammatory response syndromeprocalcitoninsurvivaloutcomediagnostic accuracy |
| spellingShingle | Abhishek Verma Karan Kaushik Amit Taluja Pratik Shah Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracy Heart Vessels and Transplantation sepsis systemic inflammatory response syndrome procalcitonin survival outcome diagnostic accuracy |
| title | Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracy |
| title_full | Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracy |
| title_fullStr | Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracy |
| title_full_unstemmed | Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracy |
| title_short | Procalcitonin as a predictor of survival in patients with sepsis: A study on diagnostic accuracy |
| title_sort | procalcitonin as a predictor of survival in patients with sepsis a study on diagnostic accuracy |
| topic | sepsis systemic inflammatory response syndrome procalcitonin survival outcome diagnostic accuracy |
| url | http://hvt-journal.com/articles/art454 |
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