Yazar "Kamis, Fatih" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • [ X ]
    Öğe
    Development of a novel clinical prediction model for sepsis related mortality by combining NEWS, PIRO and lactate
    (Assoc Basic Medical Sci Federation Bosnia & Herzegovina Sarajevo, 2025) Kurtkulagi, Ozge; Cetin, Ece Unal; Kamis, Fatih; Das, Murat; Simsek, Esen; Kurtkulagi, Ozgur; Cetin, Adil Ugur
    Prognostic assessment plays a crucial role in guiding therapeutic decision-making for patients with sepsis, particularly in intensive care settings. This study aimed to develop a multivariable model to predict 28-day mortality among intensive care unit (ICU) patients with sepsis by integrating serum lactate levels, the National Early Warning Score (NEWS), and the Predisposition, Infection, Response, and Organ Dysfunction (PIRO) score. Demographic information, clinical characteristics, and laboratory findings routinely collected at ICU admission were used to calculate the NEWS and PIRO scores for each patient. Patients were categorized as survivors or non-survivors based on their outcome. Both logistic regression and Cox proportional hazards models were applied for mortality prediction analysis. The final analysis included 205 patients diagnosed with sepsis (mean age: 73.6 +/- 13.2 years; 53.2% male), of whom 109 died during hospitalization. Logistic regression analysis revealed that lactate, NEWS, and PIRO scores were independently associated with 28-day mortality. Combining lactate levels with NEWS and PIRO significantly enhanced mortality prediction, with the greatest accuracy observed when all three parameters were integrated. Pairwise analyses demonstrated that adding lactate to the base model significantly improved predictive accuracy (DBA: -0.103, p = 0.003), and incorporating lactate into a model already including NEWS further enhanced its predictive value (DBA: -0.042, p = 0.037). In conclusion, serum lactate measured at initial ICU admission provides valuable prognostic information for predicting 28-day mortality in sepsis patients. Furthermore, combining lactate levels with NEWS and PIRO scores substantially enhances the accuracy of mortality prediction in these patients.
  • [ X ]
    Öğe
    Lactate-albumin ratio improves combined predictive value of qSOFA and MEWS for 30-day mortality in ICU patients with sepsis: A retrospective cohort study
    (Lippincott Williams & Wilkins, 2025) Unal Cetin, Ece; Kurtkulagi, Ozge; Kamis, Fatih; Das, Murat; Simsek, Esen; Cetin, Adil Ugur; Demirer Aydemir, Ferhan
    Evaluating disease severity and predicting adverse outcomes using various risk prediction tools in early disease stages is essential to reduce sepsis-related mortality. Unfortunately, there is still no clear consensus on the best score. The present study aimed to develop and validate a multivariable risk prediction model for 30-days mortality by combining the lactate-to-albumin (L/A) ratio, Modified Early Warning Score (MEWS), and quick Sequential Organ Failure Assessment (qSOFA) in sepsis patients admitted to the intensive care unit (ICU). This retrospective study included ICU patients with suspected sepsis. We computed L/A ratio, MEWS, and qSOFA within 24 hours of ICU admission. Patients were followed until either death/hospital discharge or 30 days, whichever came first. The predictive performance of each scoring system and their combinations was assessed using logistic regression and receiver operating characteristic curve analyses. A total of 130 patients with sepsis admitted to the ICU were included in the study. The mortality rate was 63.07% (82/130). A higher L/A ratio, MEWS, and qSOFA were found to be associated with mortality in ICU sepsis patients. A statistically significant difference in terms of predicting mortality was demonstrated in the pairwise comparison after combining the L/A ratio with both the qSOFA and MEWS (difference between areas: -0.098, P = .011 and difference between areas: -0.098, P = .013 respectively). Mortality models combining L/A ratio with selected clinical variables have improved mortality prediction performance compared with models that use MEWS and qSOFA alone. The L/A ratio at ICU admission provide valuable prognostic information for predicting 30-days mortality in sepsis patients. Combining these ratio with MEWS and qSOFA improves the accuracy of predicting mortality in patients with sepsis.