Prognostic impacts of repeated sepsis in intensive care unit on autoimmune disease patients: a retrospective cohort study
Ontology highlight
ABSTRACT:
SUBMITTER: Yang J
PROVIDER: S-EPMC10863122 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:This study evaluated the relationship between hyperuricemia at admission and the clinical prognosis of patients with sepsis. The data were obtained from the Intensive Care Medical Information Database III. The patients were divided into a normal serum uric acid group and a hyperuricemia group. The main outcome was 90-day mortality, and the secondary outcomes were hospital mortality, 30-day mortality, and acute kidney injury. Propensity score matching was used to balance the baseline characteristics of the groups. Our study retrospectively included 954 patients. Before and after propensity score matching, the incidence of AKI, the 30-day and 90-day mortality rates were significantly higher in the hyperuricemia group. Cox regression analysis showed that hyperuricemia was significantly associated with 90-day mortality (HR 1.648, 95% CI 1.215-2.234, p = 0.006), and hyperuricemia was significantly associated with the incidence of AKI (HR 1.773, 95% CI 1.107-2.841, p = 0.017). The Kaplan-Meier survival curve showed that the 90-day survival rate was significantly lower in the hyperuricemia group. In patients with sepsis in the intensive care unit, hyperuricemia was significantly associated with increased risk 90-day all-cause mortality and the incidence of AKI.
| S-EPMC8776761 | biostudies-literature
Project description:This study aimed to investigate the relationship between unintentional weight loss and 30-day mortality in sepsis patients in the intensive care unit (ICU). A retrospective cohort study sepsis patients in the ICU was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, involving 1842 sepsis patients in the ICU. We utilized multivariate Cox regression analysis to evaluate the association between unintentional weight loss and the risk of 30-day mortality. In addition, we conducted stratified and interaction analyses to determine the consistency of this association across various demographic and clinical subgroups. Out of the 1842 patients, 19.2% (354) died within 30 days. The fully adjusted multivariate Cox regression model revealed that for every one-unit decrease in body weight, the risk of death increased by 58% (hazard ratio [HR] = 1.58; 95% confidence interval [CI] = 1.20-2.07). Unintentional weight loss was found to be positively correlated with 30-day mortality. Subgroup analysis yielded consistent results across all groups. Unintentional weight loss was positively associated with a greater risk of mortality in critically ill patients with sepsis in the ICU.
| S-EPMC11682055 | biostudies-literature
Project description:BackgroundpRIFLE (Pediatric Risk, Injury, Failure, Loss, End Stage Renal Disease), KDIGO (Kidney Disease Improving Global Outcomes) and pROCK (Pediatric Reference Change Value Optimized for AKI) are diagnostic criteria used for acute kidney injury (AKI) incidence evaluation. The aim of this study was to explore the diagnostic consistency, incidence and mortality rate, clinical signs, and influencing factors of renal injury related to sepsis in children diagnosed by three different AKI diagnostic criteria, and then evaluate which one was more valuable.MethodsA retrospective analysis was performed on the clinical data of children with severe sepsis. The patients were diagnosed and staged according to the 2007 pRIFLE standard, the 2012 KDIGO standard, and the 2018 pROCK standard. The clinical characteristics and prognosis of children with different stages of sepsis were compared between the three diagnostic standards.ResultsA total of 62 patients with sepsis were included. Blood stream infection is common (11 cases, 17.74%). According to pRIFLE, KDIGO, and pROCK standards, the incidence of sepsis-associated AKI (SA-AKI) was 74.2%, 67.7%, and 56.5%, respectively. The pRIFLE had the highest diagnostic rate of early detection of SA-AKI. There was no statistical difference in SA-AKI incidence or staging consistency between the pRIFLE and KDIGO groups (κ=0.0671; κ>0.60); the consistency of SA-AKI diagnoses across the three standards was good (all P values <0.05), and pROCK demonstrated a higher specificity. A high Pediatric Risk of Mortality (PRISM) score and high procalcitonin level were independent risk factors. Shock and renal replacement therapy were independent risk factors for SA-AKI death. Death from admission to 28 days after admission was used as an endpoint to draw a survival graph, which revealed that the AKI group had a significantly higher risk of death than did the non-AKI group.ConclusionsThe consistency of diagnosing SA-AKI across the three classification criteria was similar, and mortality rate increased with increased SA-AKI staging. The pRIFLE criteria were more sensitive in the early detection of SA-AKI, while the pROCK had higher specificity. There was no significant difference between the pRIFLE and KDIGO in terms of incidence, diagnosis, or staging of SA-AKI.
| S-EPMC10998984 | biostudies-literature
Project description:BackgroundSepsis patients hospitalized in the intensive care unit (ICU) often have comorbid diabetes mellitus (DM). However, the clinical impact of DM on the clinical outcomes of critically ill sepsis patients has yet to be determined. Therefore, the current study aimed to analyze the association of comorbid DM with the prognosis of sepsis patients in the ICU.MethodsData of patients with sepsis and comorbid DM were obtained from a large-scale intensive care database. The primary outcome was 28-day mortality after ICU admission. Associations of comorbid DM with the primary outcome were assessed using a multivariable Cox regression model. Different adjusted models, such as the propensity score method, were used to determine the prognosis of the patients.ResultsOverall, 12,321 sepsis patients were enrolled, including 3,509 (28.48%) with comorbid DM. After adjusting and matching, we found that comorbid DM was not an independent risk factor for 28-day mortality in critically ill sepsis patients and was even associated with lower mortality. Propensity score matching showed a dramatically lower 28-day mortality for sepsis patients with comorbid DM in comparison to patients without comorbid DM [hazard ratio (HR): 0.86, 95% confidence interval (CI): 0.77-0.97, P=0.0167]. The relationship of comorbid DM with 28-day mortality was broadly consistent for all subgroup variables. In the stratified analysis, a significant interaction was observed only for glucose concentration (P<0.0001). Patients with comorbid DM and a glucose level of 140-200 mg/dL (7.8-11.1 mmol/L) or ≥200 mg/dL (11.1 mmol/L) had a significantly lower 28-day mortality rate (HR 0.83, 95% CI: 0.71-0.98, P=0.0250 and HR: 0.49, 95% CI: 0.38-0.64, P<0.0001, respectively).ConclusionsCritically ill patients with sepsis and comorbid DM were not found to have increased 28-day mortality compared to those without comorbid DM, and may even have a lower risk of mortality. Notably, this association remained in the setting of hyperglycemia.
| S-EPMC7859737 | biostudies-literature
Project description: Not available
| S-EPMC6148961 | biostudies-literature
Project description:IntroductionAutomated specialty palliative care consultation (SPC) has been proposed as an intervention to improve patient-centered care in the intensive care unit (ICU). Existing automated SPC trigger criteria are designed to identify patients at highest risk of in-hospital death. We sought to evaluate common mortality-based SPC triggers and determine whether these triggers reflect actual use of SPC consultation. We additionally aimed to characterize the population of patients who receive SPC without meeting mortality-based triggers.MethodsWe conducted a retrospective cohort study of all adult ICU admissions from 2012-2017 at an academic medical center with five subspecialty ICUs to determine the sensitivity and specificity of the five most common SPC triggers for predicting receipt of SPC. Among ICU admissions receiving SPC, we assessed differences in patients who met any SPC trigger compared to those who met none.ResultsOf 48,744 eligible admissions, 1,965 (4.03%) received SPC; 979 (49.82%) of consultations met at least 1 trigger. The sensitivity and specificity for any trigger predicting SPC was 49.82% and 79.61%, respectively. Patients who met no triggers but received SPC were younger (62.71 years vs 66.58 years, mean difference (MD) 3.87 years (95% confidence interval (CI) 2.44-5.30) p<0.001), had longer ICU length of stay (11.43 days vs 8.42 days, MD -3.01 days (95% CI -4.30 --1.72) p<0.001), and had a lower rate of in-hospital death (48.68% vs 58.12%, p<0.001).ConclusionMortality-based triggers for specialty palliative care poorly reflect actual use of SPC in the ICU. Reliance on such triggers may unintentionally overlook an important population of patients with clinician-identified palliative care needs.
| S-EPMC8357176 | biostudies-literature
Project description:BACKGROUND:Nighttime ICU discharge, i.e., discharge from the ICU during the night hours, has been associated with increased readmission rates, hospital length of stay (LOS) and in-hospital mortality. We sought to determine the frequency of nighttime ICU discharge and identify whether nighttime ICU discharge is associated with worse outcomes in a private adult ICU located in Brazil. METHODS:Post hoc analysis of a cohort study addressing the effect of ICU readmissions on outcomes. This retrospective, single center, propensity matched cohort study was conducted in a medical-surgical ICU located in a private tertiary care hospital in São Paulo, Brazil. Based on time of transfer, patients were categorized into nighttime (7:00 pm to 6:59 am) and daytime (7:00 am to 6:59 pm) ICU discharge and were propensity-score matched at a 1:2 ratio. The primary outcome of interest was in-hospital mortality. RESULTS:Among 4,313 eligible patients admitted to the ICU between June 2013 and May 2015, 1,934 patients were matched at 1:2 ratio [649 (33.6%) nighttime and 1,285 (66.4%) daytime discharged patients]. The median (IQR) cohort age was 66 (51-79) years and SAPS III score was 43 (33-55). In-hospital mortality was 6.5% (42/649) in nighttime compared to 5.6% (72/1,285) in daytime discharged patients (OR, 1.17; 95% CI, 0.79 to 1.73; p = 0.444). While frequency of ICU readmission (OR, 0.95; 95% CI, 0.78 to 1.29; p = 0.741) and length of hospital stay did not differ between the groups, length of ICU stay was lower in nighttime compared to daytime ICU discharged patients [1 (1-3) days vs. 2 (1-3) days, respectively, p = 0.047]. CONCLUSION:In this propensity-matched retrospective cohort study, time of ICU discharge did not affect in-hospital mortality.
| S-EPMC6292615 | biostudies-literature
Project description:intensive care unit shotgun raw sequences Metagenome
| PRJNA562118 | ENA
Project description:BackgroundThe relationship between platelet count and sepsis outcomes in intensive care units (ICUs) requires comprehensive investigation through large-scale multicenter studies.MethodsIn this multicenter retrospective cohort study, we analyzed 17,977 sepsis patients from 208 U.S. hospitals (2014-2015) using the eICU Collaborative Research Database v2.0. Analyses were adjusted for demographics, clinical parameters, comorbidities, and treatments. Generalized additive models and two-piecewise linear regression were used to assess the relationship between platelet count and mortality.ResultsA U-shaped relationship was identified with an inflection point at 176 × 10⁹/L. Below this threshold, each 10 × 10⁹/L increase in platelet count was associated with a 6% decrease in mortality risk (adjusted OR 0.94, 95% CI 0.93-0.95, p < 0.0001), while above it, each 10 × 10⁹/L increase was associated with a 1% increase in mortality risk (adjusted OR 1.01, 95% CI 1.00-1.01, p = 0.0153).ConclusionThis large-scale, multicenter retrospective study has made a significant contribution to understanding the association between platelet count and mortality in patients with sepsis in intensive care units. We identified a critical threshold of 176 × 109/L for platelet count and demonstrated a distinct U-shaped relationship with 30-day in-hospital mortality, providing valuable reference criteria for clinical risk stratification.
| S-EPMC11788309 | biostudies-literature