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Chen HH, Wu CL, Chao WC. Analysis of the impact of maternal sepsis on pregnancy outcomes: a population-based retrospective study. BMC Pregnancy Childbirth 2024; 24:518. [PMID: 39090584 PMCID: PMC11295718 DOI: 10.1186/s12884-024-06607-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 05/26/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND To investigate the association between maternal sepsis during pregnancy and poor pregnancy outcome and to identify risk factors for poor birth outcomes and adverse perinatal events. METHODS We linked the Taiwan Birth Cohort Study (TBCS) database and the Taiwanese National Health Insurance Database (NHID) to conduct this population-based study. We analysed the data of pregnant women who met the criteria for sepsis-3 during pregnancy between 2005 and 2017 as the maternal sepsis cases and selected pregnant women without infection as the non-sepsis comparison cohort. Sepsis during pregnancy and fulfilled the sepsis-3 definition proposed in 2016. The primary outcome included low birth weight (LBW, < 2500 g) and preterm birth (< 34 weeks), and the secondary outcome was the occurrence of adverse perinatal events. RESULTS We enrolled 2,732 women who met the criteria for sepsis-3 during pregnancy and 196,333 non-sepsis controls. We found that the development of maternal sepsis was highly associated with unfavourable pregnancy outcomes, including LBW (adjOR 9.51, 95% CI 8.73-10.36), preterm birth < 34 weeks (adjOR 11.69, 95%CI 10.64-12.84), and the adverse perinatal events (adjOR 3.09, 95% CI 2.83-3.36). We also identified that socio-economically disadvantaged status was slightly associated with an increased risk for low birth weight and preterm birth. CONCLUSION We found that the development of maternal sepsis was highly associated with LBW, preterm birth and adverse perinatal events. Our findings highlight the prolonged impact of maternal sepsis on pregnancy outcomes and indicate the need for vigilance among pregnant women with sepsis.
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Affiliation(s)
- Hsin-Hua Chen
- Division of General Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Big Data Center, Chung Hsing University, Taichung, Taiwan
- Department of post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan
| | - Chieh-Liang Wu
- Department of post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Cheng Chao
- Big Data Center, Chung Hsing University, Taichung, Taiwan.
- Department of post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
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Sun X, Lu J, Weng W, Yan Q. Association between anion gap and all-cause mortality of critically ill surgical patients: a retrospective cohort study. BMC Surg 2023; 23:226. [PMID: 37559030 PMCID: PMC10413518 DOI: 10.1186/s12893-023-02137-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 08/02/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND There are few widely accepted and operationally feasible models for predicting the mortality risk of patients in surgical intensive care unit (SICU). Although serum anion gap (AG) is known to be correlated with severe metabolic acidosis, no investigations have been reported about the association between AG level and the outcome during hospitalization in SICU. This study aimed to explore the predictive power of AG for 90-day all-cause mortality in SICU. METHODS Data of the eligible patients in SICU from 2008 to 2019 was obtained from the Medical Information Mart for Intensive Care IV version 2.0 (MIMIC-IV v2.0) database. Baseline clinical data of the selected patients was compared in different groups stratified by the outcome during their admission via univariate analysis. Restricted cubic spline (RCS) was drawn to confirm the relationship of AG and the short-term mortality. Kaplan-Meier survival curve was plotted in different AG level groups. Univariate and multivariate Cox analyses were performed, and Cox proportional-hazards models were built to investigate an independent role of AG to predict 90-day all-cause mortality risk in SICU. Receiver operating characteristics (ROC) curves analysis was performed to evaluate the predictive value of AG on the 90-day prognosis of patients. RESULTS A total of 6,395 patients were enrolled in this study and the 90-day all-cause mortality rate was 18.17%. Univariate analysis showed that elevated serum AG was associated with higher mortality (P < 0.001). RCS analysis indicated a positively linear relationship between serum AG and the risk of 90-day all-cause mortality in SICU (χ2 = 4.730, P = 0.193). Kaplan-Meier survival analysis demonstrated that low-AG group (with a cutoff value of 14.10 mmol/L) had a significantly higher cumulative survival rate than the counterpart of high-AG group (χ2 = 96.370, P < 0.001). Cox proportional-hazards models were constructed and confirmed the independent predictive role of AG in 90-day all-cause mortality risk in SICU after adjusting for 23 confounding factors gradually (HR 1.423, 1.246-1.625, P < 0.001). In the further subgroup analyses, a significant interaction was confirmed between AG and sepsis as well as surgery on the risk for the 90-day mortality. The ROC curve showed that the optimal cut-off value of AG for predicting 90-day mortality was 14.89 with sensitivity of 60.7% and specificity of 54.8%. The area under curve (AUC) was 0.602. When combined with SOFA score, the AUC of AG for predicting 90-day prognosis was 0.710, with a sensitivity and specificity of 70% and 62.5% respectively. CONCLUSIONS Elevated AG (≥ 14.10 mmol/L) is an independent risk factor for predicting severe conditions and poor prognosis of critical ill surgical patients.
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Affiliation(s)
- Xu Sun
- Department of General Surgery, Huzhou Central Hospital, Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou, China
- Affiliated Central Hospital, Huzhou University, Huzhou, China
- The Fifth School of Clinical Medicine, Zhejiang Chinese Medical University, Huzhou, China
- Huzhou Key Laboratory of Intelligent and Digital Precision Surgery, Huzhou Central Hospital, Huzhou, China
| | - Jianhong Lu
- Department of Intensive Care Unit, Huzhou Central Hospital, Huzhou, China
| | - Wenqian Weng
- Department of Intensive Care Unit, Huzhou Central Hospital, Huzhou, China.
| | - Qiang Yan
- Department of General Surgery, Huzhou Central Hospital, Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou, China.
- Affiliated Central Hospital, Huzhou University, Huzhou, China.
- The Fifth School of Clinical Medicine, Zhejiang Chinese Medical University, Huzhou, China.
- Huzhou Key Laboratory of Intelligent and Digital Precision Surgery, Huzhou Central Hospital, Huzhou, China.
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Nguyen KN, Chuang TI, Wong LT, Chan MC, Chao WC. Association between early blood urea nitrogen-to-albumin ratio and one-year post-hospital mortality in critically ill surgical patients: a propensity score-matched study. BMC Anesthesiol 2023; 23:247. [PMID: 37479965 PMCID: PMC10362554 DOI: 10.1186/s12871-023-02212-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 07/19/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Blood urea nitrogen to albumin ratio (BAR) is increasingly recognized as an early predictor for short-term outcomes in critically ill patients, but the association of BAR with long-term outcomes in critically ill surgical patients remains underexplored. METHODS We enrolled consecutive patients who were admitted to surgical intensive care units (ICUs) at Taichung Veterans General Hospital between 2015 and 2020, and the dates of death were retrieved from Taiwan's National Health Insurance Research Database. In addition to Cox regression, we also used propensity score matching to determine the hazard ratios (HRs) and 95% confidence intervals (CIs) for one-year post-hospital mortality of the variables. RESULTS A total of 8,073 eligible subjects were included for analyses. We found that age, male gender, high Charlson Comorbidity Index, high Acute Physiology and Chronic Health Evaluation II score, positive microbial culture, and leukocytosis were predictors for mortality, whereas high body mass index, scheduled surgery, and high platelet counts were protective factors against long-term mortality. The high BAR was independently associated with increased post-hospital mortality after adjustment for the aforementioned covariates (adjHR 1.258, 95% CI, 1.127-1.405). Notably, the association tended to be stronger in females and patients with fewer comorbidities and lower disease severity of critical illness. The propensity score matching, dividing subjects by BAR higher or lower than 6, showed a consistent association between week-one BAR and post-hospital mortality (adjHR 1.503, 95% CI 1.247-1.811). CONCLUSIONS BAR is a newly identified predictor of short-term outcome, and we identified long-term outcome-relevant factors, including BAR, and the identified factors may be useful for risk stratification of long-term outcomes in patients discharged from surgical ICUs.
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Affiliation(s)
- Khoi Nguyen Nguyen
- Division of Hepato-Biliary-Pancreatic Surgery, Chợ Rẫy Hospital, Ho Chi Minh, Vietnam
| | - Tzu-I Chuang
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Li-Ting Wong
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ming-Cheng Chan
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Wen-Cheng Chao
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
- Department of post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
- Big Data Center, Chung Hsing University, Taichung, Taiwan.
- Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan.
- Taichung Veterans General Hospital, No, 1650, Section 4, Taiwan Boulevard, Xitun District, Taichung City, 40705, Taiwan.
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Wu FH, Wong LT, Wu CL, Chao WC. Week-One Anaemia was Associated with Increased One-Year Mortality in Critically Ill Surgical Patients. Int J Clin Pract 2022; 2022:8121611. [PMID: 36128261 PMCID: PMC9470355 DOI: 10.1155/2022/8121611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Anaemia has a deleterious effect on surgical patients, but the long-term impact of anaemia in critically ill surgical patients remains unclear. METHODS We enrolled consecutive patients who were admitted to surgical intensive care units (ICUs) at a tertiary referral centre in central Taiwan between 2015 and 2020. We used both Cox proportional hazards analysis and propensity score-based analyses, including propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and covariate balancing propensity score (CBPS) to determine hazard ratios (HRs) and 95% confidence intervals (CIs) for one-year mortality. RESULTS A total of 7,623 critically ill surgical patients were enrolled, and 29.9% (2,280/7,623) of them had week-one anaemia (haemoglobin <10 g/dL). We found that anaemia was independently associated with an increased risk of one-year mortality after adjustment for relevant covariates (aHR, 1.170; 95% CI, 1.045-1.310). We further identified a consistent strength of association between anaemia and one-year mortality in propensity score-based analyses, with the adjusted HRs in the PSM, IPTW, and CBPS were 1.164 (95% CI 1.025-1.322), 1.179 (95% CI 1.030-1.348), and 1.181 (1.034-1.349), respectively. CONCLUSIONS We identified the impact on one-year mortality of anaemia in critically ill surgical patients, and more studies are needed to validate our findings.
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Affiliation(s)
- Feng-Hsu Wu
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of General Surgery, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Nursing, Hung Kuang University, Taichung, Taiwan
| | - Li-Ting Wong
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chieh-Liang Wu
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichun, Taiwan
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan
- Artificial Intelligence Studio, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Cheng Chao
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichun, Taiwan
- Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan
- Big Data Center, Chung Hsing University, Taichung, Taiwan
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