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Ye D, Jiang W, Gu D. Association Between Platelet-Albumin-Bilirubin Grade and the 30-Day Mortality in Patients with Acute Respiratory Distress Syndrome: Evidence from the MIMIC-IV Database. Balkan Med J 2025; 42:66-74. [PMID: 39757517 PMCID: PMC11725668 DOI: 10.4274/balkanmedj.galenos.2024.2024-8-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Accepted: 11/08/2024] [Indexed: 01/07/2025] Open
Abstract
Background The platelet-albumin-bilirubin (PALBI) grade is a comprehensive assessment index of liver function. Liver dysfunction is a key determinant of the pathogenesis and resolution of acute respiratory distress syndrome (ARDS), which affects the prognosis of patients. Aims To evaluate the association of PALBI grade with the risk of 30-day mortality in patients with ARDS. Study Design Retrospective cohort study. Methods Univariate and multivariate Cox proportional hazards models were used to evaluate the association between PALBI grade and the 30-day mortality in patients with ARDS; results were described as hazard ratios (HRs) and 95% confidence intervals (CIs). This association was further assessed by subgroup analyses stratified based on age, sex, and complications. Results A total of 2,841 patients with ARDS were included, of whom, 703 (24.74%) died within 30 days. After adjusting all covariates, a higher PALBI grade was associated with higher odds of 30-day mortality (HR: 1.55, 95% CI: 1.05-2.29). High PALBI grade was related to higher odds of 30-day mortality in patients with ARDS aged ≥ 65 years (HR: 2.30, 95% CI: 1.06-5.01), males (HR: 2.10, 95% CI: 1.29-3.44), without sepsis (HR: 1.71, 95% CI: 1.11-2.64), without pneumonia (HR: 1.86, 95% CI: 1.19-2.91), and without any history of chronic obstructive pulmonary disease (HR: 1.93, 95% CI: 1.28-2.91). Conclusion The PALBI grade was positively associated with 30-day mortality in patients with ARDS. The present study provides a reference for risk stratification management of patients with ARDS to improve short-term prognosis.
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Affiliation(s)
- Dandan Ye
- Department of Emergency Wuhu Hospital, East China Normal University, the Second People’s Hospital, Wuhu, China
| | - Wei Jiang
- Department of Emergency Wuhu Hospital, East China Normal University, the Second People’s Hospital, Wuhu, China
| | - Deming Gu
- Department of Emergency Wuhu Hospital, East China Normal University, the Second People’s Hospital, Wuhu, China
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Wang Q, Zhang G. Platelet count as a prognostic marker for acute respiratory distress syndrome. BMC Pulm Med 2024; 24:396. [PMID: 39153980 PMCID: PMC11330071 DOI: 10.1186/s12890-024-03204-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 08/07/2024] [Indexed: 08/19/2024] Open
Abstract
BACKGROUND This study aimed to evaluate the role of platelet count (PLT) in the prognosis of patients with acute respiratory distress syndrome (ARDS). METHODS The data were extracted from the Medical Information Mart for Intensive Care database (version 2.2). Patients diagnosed with ARDS according to criteria from Berlin Definition and had the platelet count (PLT) measured within the first day after intensive care unit admission were analyzed. Based on PLT, ARDS patients were divided into four groups: PLT ≤ 100 × 109/L, PLT 101-200 × 109/L, PLT 201-300 × 109/L, and PLT > 300 × 109/L. The primary outcome was 28-day mortality. Survival probabilities were analyzed using Kaplan-Meier. Furthermore, the association between PLT and mortality in ARDS patients was assessed using a univariate and multivariable Cox proportional hazards model. RESULTS Overall, the final analysis included 3,207 eligible participants with ARDS. According to the Kaplan-Meier curves for 28-day mortality of PLT, PLT ≤ 100 × 109/L was associated with a higher incidence of mortality (P = 0.001), the same trends were observed in the 60-day (P = 0.001) and 90-day mortality (P = 0.001). In the multivariate model adjusted for the potential factors, the adjusted hazard ratio at PLT 101-200 × 109/L group, PLT 201-300 × 109/L, and PLT > 300 × 109/L was 0.681 [95% confidence interval (CI): 0.576-0.805, P < 0.001], 0.733 (95% CI: 0.604-0.889, P = 0.002), and 0.787 (95% CI: 0.624-0.994, P = 0.044) compared to the reference group (PLT ≤ 100 × 109/L), respectively. Similar relationships between the PLT ≤ 100 × 109/L group and 28-day mortality were obtained in most subgroups. CONCLUSION PLT appeared to be an independent predictor of mortality in critically ill patients with ARDS.
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Affiliation(s)
- Qianwen Wang
- Department of Intensive care unit, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hang Zhou, Zhe Jiang, 310000, China, No 3 East Road Qingchun
| | - Ge Zhang
- Department of Intensive care unit, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hang Zhou, Zhe Jiang, 310000, China, No 3 East Road Qingchun.
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Li J, Pan G. Association of coagulation function with the risk of in-hospital mortality in patients with severe acute respiratory distress syndrome. Am J Med Sci 2024; 368:143-152. [PMID: 38636652 DOI: 10.1016/j.amjms.2024.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 02/06/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND To evaluate the association of coagulation disorder score with the risk of in-hospital mortality in acute respiratory distress syndrome (ARDS) patients. METHODS In this cohort study, 7,001 adult patients with ARDS were identified from the Medical Information Mart for Intensive Care Database-IV (MIMIC-IV). Univariate and multivariate Logistic stepwise regression models were used to explore the associations of coagulation-associated biomarkers with the risk of in-hospital mortality in patients with ADRS. Restricted cubic spline (RCS) was plotted to explore the association between coagulation disorder score and in-hospital mortality of ARDS patients. RESULTS The follow-up time for in-hospital death was 7.15 (4.62, 13.88) days. There were 1,187 patients died and 5,814 people survived in hospital. After adjusting for confounding factors, increased risk of in-hospital mortality in ARDS patients was observed in those with median coagulation disorder score [odds ratio (OR) = 1.22, 95% confidence interval (CI): 1.01-1.47) and high coagulation disorder score (OR = 1.38, 95% CI: 1.06-1.80). The results of RCS indicated that when the coagulation disorder score >2, the trend of in-hospital mortality rose gradually, and OR was >1. CONCLUSIONS Poor coagulation function was associated with increased risk of in-hospital mortality in ARDS patients. The findings implied that clinicians should regularly detect the levels of coagulation-associated biomarkers for the management of ARDS patients.
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Affiliation(s)
- Jie Li
- Department of Emergency, Hubei Maternal and Child Health Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430070 China
| | - Gang Pan
- Department of Emergency, the Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, 225100 China.
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Wu PH, Huo WX, Mo XD, Wang Y, Yan CH, Jiang H, Shen MZ, Huang XJ, An YZ. Prognostic factors for patients with hematologic malignancies admitted to the intensive care unit: is allogeneic transplantation still a risk factor? Ann Hematol 2023; 102:907-916. [PMID: 36757444 DOI: 10.1007/s00277-023-05118-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 01/29/2023] [Indexed: 02/10/2023]
Abstract
The rate of intensive care unit (ICU) mortality in patients with hematologic malignancies is high. The risk factors for this were inconsistent across several previous studies, and there is currently no accepted consensus around risk factors for these patients. We aimed to identify which prognostic factors were associated with ICU mortality in critically ill patients with hematologic malignancies, nearly half of which were allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients. In addition, we aimed to compare the characteristics and clinical outcomes of patients with and without allogenic allo-HSCT. In total, 217 patients with hematologic malignancies were enrolled consecutive, 119 (54.8%) of whom underwent HSCT (allo-HSCT: n = 115). All survivors were followed up with until August 1, 2022. The rate of ICU mortality in this cohort was 54.4%: 55.5 and 53.1% for the patients with and without HSCT, respectively (p = 0.724). The probabilities of survival after ICU admission were also comparable between the patients who had allo-HSCT and those who did not. A multivariable analysis revealed that cerebrovascular disease, hyperlactic acidemia on the day of ICU admission, lower platelet count, use of vasoactive drugs, and absence of noninvasive ventilation on the day of ICU admission were independent risk factors for ICU mortality. For patients with three to five of these risk factors, the rate of ICU mortality was as high as 84.6%, which was significantly higher than that of other patients. In this study, the ICU mortality rate in patients with hematologic malignancies was still high, particularly for those with multiple risk factors. However, allo-HSCT was not found to be a risk factor for ICU mortality.
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Affiliation(s)
- Pei-Hua Wu
- Department of Critical Care Medicine, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Wen-Xuan Huo
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Dong Mo
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, 2019RU029, China
| | - Yu Wang
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Chen-Hua Yan
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Hao Jiang
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Meng-Zhu Shen
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Jun Huang
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, 2019RU029, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - You-Zhong An
- Department of Critical Care Medicine, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
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