In-hospital Mortality In Patients Research Articles

Factors associated to mortality in children with critical COVID-19 and multisystem inflammatory syndrome in a resource-poor setting

SARS-CoV-2 infection in children is usually asymptomatic/mild. However, some patients may develop critical forms. We aimed to describe characteristics and evaluate the factors associated to in-hospital mortality of patients with critical COVID-19/MIS-C in the Amazonian region. This multicenter prospective cohort included critically ill children (1 mo–18 years old), with confirmed COVID-19/MIS-C admitted to 3 tertiary Pediatric Intensive Care Units (PICU) in the Brazilian Amazon, between April/2020 and May/2023. The main outcome was in-hospital mortality and were evaluated using a multivariable Cox proportional regression. We adjusted the model for pediatric risk of mortality score version IV (PRISMIV) score and age/comorbidity. 266 patients were assessed with 187 in the severe COVID-19 group, 79 included in the MIS-C group. In the severe COVID-19 group 108 (57.8%) were male, median age was 23 months, 95 (50.8%) were up to 2 years of age. Forty-two (22.5%) patients in this group died during follow-up in a median time of 11 days (IQR, 2–28). In the MIS-C group, 56 (70.9%) were male, median age was 23 months and median follow-up was 162 days (range, 3–202). Death occurred in 17 (21.5%) patients with a median death time of 7 (IQR, 4–13) days. The mortality was associated with higher levels of Vasoactive Inotropic-Score (VIS), presence of acute respiratory distress syndrome (ARDS), higher levels of Erythrocyte Sedimentation Rate, (ESR) and thrombocytopenia. Critically ill patients with severe COVID-19 and MIS-C from the Brazilian Amazon showed a high mortality rate, within 12 days of hospitalization.

Association between admission heart rate and in-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease and respiratory failure: a retrospective cohort study

BackgroundAcute exacerbation of chronic obstructive pulmonary disease (AECOPD) combined with respiratory failure (RF) is a chronic respiratory disease that seriously endangers human health. This study aimed to specifically evaluate the relationship between admission heart rate (AHR) and in-hospital mortality in patients with combined AECOPD and RF to better inform clinical treatment.MethodsThis retrospective cohort study included 397 patients admitted to a Chinese hospital between January 2021 and March 2023. The primary outcome measure was all-cause in-hospital mortality. Multivariate logistic regression analyses were performed to calculate adjusted hazard ratios (OR) with corresponding 95% confidence intervals (CI), and curve fitting and threshold effect were performed to address nonlinear relationships.ResultsIn total, 397 patients with AECOPD/RF were screened. The mean (± SD) age of the study cohort was 72.6 ± 9.5 years, approximately 49.4% was female, and the overall in-hospital mortality rate was 5%. Multivariate logistic regression analysis and smooth curve fitting revealed a nonlinear association between AHR and in-hospital mortality in the study population, with 100 beats/min representing the inflection point. Left of the inflection point, the effect size (OR) was 0.474 (95% CI 0.016 ~ 13.683; p = 0.6635). On the right side, each 1 beat/min increase in AHR resulted in an effect size (OR) of 1.094 (95% CI 1.01 ~ 1.186; p = 0.0281).ConclusionsResults of the present study demonstrated a nonlinear relationship between AHR and in-hospital mortality in patients with AECOPD/RF. When AHR was < 100 beats/min, it was not statistically significant; however, AHR > 100 beats/min was a predictor of potential mortality, which increased by 9.4% for every 1 beat/min increase in AHR.

In-hospital mortality of patients with acute coronary syndrome (ACS) after implementation of national health insurance (NHI) in Indonesia

BackgroundThe National Health Insurance (NHI) was implemented in Indonesia in 2014, and cardiovascular diseases are one of the diseases that have overburdened the healthcare system. However, data concerning the relationship between NHI and cardiovascular healthcare in Indonesia are scarce. We aimed to describe changes in cardiovascular healthcare after the implementation of the NHI while determining whether the implementation of the NHI is related to the in-hospital mortality of patients with acute coronary syndrome (ACS).MethodsThis is a retrospective comparative study of two cohorts in which we compared the data of 364 patients with ACS from 2013 to 2014 (Cohort 1), before and early after NHI implementation, with those of 1142 patients with ACS from 2018 to 2020 (Cohort 2), four years after NHI initiation, at a tertiary cardiac center in Makassar, Indonesia. We analyzed the differences between both cohorts using chi-square test and Mann-Whitney U test. To determine the association between NHI and in-hospital mortality, we conducted multivariable logistic regression analysis.ResultsWe observed an increase in NHI users (20.1% to 95.6%, p < 0.001) accompanied by a more than threefold increase in patients with ACS admitted to the hospital in Cohort 2 (from 364 to 1142, p < 0.001). More patients with ACS received invasive treatment in Cohort 2, with both thrombolysis and percutaneous coronary intervention (PCI) rates increasing more than twofold (9.2% to 19.2%; p < 0.001). There was a 50.8% decrease in overall in-hospital mortality between Cohort 1 and Cohort 2 (p < 0.001).ConclusionsThis study indicated the potential beneficial effect of universal health coverage (UHC) in improving cardiovascular healthcare by providing more accessible treatment. It can provide evidence to urge the Indonesian government and other low- and middle-income nations dealing with cardiovascular health challenges to adopt and prioritize UHC.

Nurses’ intention to leave, nurse workload and in-hospital patient mortality in Italy: A descriptive and regression study.

Higher nurse-to-patient ratios are associated with poor patient care and adverse nurse outcomes, including emotional exhaustion and intention to leave. We examined the effect of nurses’ intention to leave and nurse-patient workload on in-hospital patient mortality in Italy.A multicentered descriptive and regression study using clinical data of patients aged 50 years or older with a hospital stay of at least two days admitted to surgical wards linked with nurse variables including workload and education levels, work environment, job satisfaction, intention to leave, nurses’ perception of quality and safety of care, and emotional exhaustion. The final dataset included 15 hospitals, 1046 nurses, and 37,494 patients.A 10 % increase in intention to leave and an increase of one unit in nurse-patient workload increased likelihood of inpatient hospital mortality by 14 % (odds ratio 1.14; 1.02–1.27 95 % CI) and 3.4 % (odds ratio 1.03; 1.00–1.06 95 % CI), respectively.No other studies have reported a significant association between intention to leave and patient mortality. To improve patient outcomes, the healthcare system in Italy needs to implement policies on safe human resources policy stewardship, leadership, and governance to ensure nurse wellbeing, higher levels of safety, and quality nursing care.

Association of the triglyceride-glucose index with severity of coronary stenosis and in-hospital mortality in patients with acute ST elevation myocardial infarction after percutaneous coronary intervention: a multicentre retrospective analysis cohort study

ObjectivesTo explore the impact of the triglyceride-glucose (TyG) index on the severity of coronary stenosis and the risk of in-hospital mortality in patients with acute ST segment elevation myocardial infarction...

Changing trends in clinical characteristics and in-hospital mortality of patients with infective endocarditis over four decades

BackgroundInfective endocarditis continues to be a significant concern and may be undergoing an epidemiological transition. MethodsWere studied 1804 consecutive episodes of infective endocarditis between 1978 and 2022. The mean age was 48 ( ± 19), and 1162 (64%) patients were male. Temporal trends in demographic data, comorbidities, predisposing conditions, microorganisms, complications and in-hospital death have been studied over the decades (1978–1988, 1989–1999, 2000–2010 and 2011–2022). The outcomes and clinical characteristics were modeled using nonlinear cubic spline functions. FindingsValve surgery was performed in 50% of the patients and overall in-hospital mortality was 30%. From the first to the fourth decade studied, the average age of patients increased from 29 to 57 years (p < 0.001), with significant declines in the occurrence of rheumatic valvular heart disease (15% to 6%; p < 0.001) and streptococcal infections (46% to 33%; p < 0.001). Healthcare-associated infections have increased (9% to 21%; p < 0.001), as have prosthetic valve endocarditis (26% to 53%; p < 0.001), coagulase-negative staphylococcal infections (4% to 11%; p < 0.001), and related-complications (heart failure, embolic events, and perivalvular abscess; p < 0.001). These changes were associated with a decline in adjusted in-hospital mortality from 34% to 25% (p = 0.019). InterpretationIn the 44 years studied, there was an increase in the mean age of patients, healthcare-related, prosthetic valve, coagulase-negative staphylococci/MRSA infections, and related complications. Notably, these epidemiological changes were associated with a decline in the adjusted in-hospital mortality.

Cervical Vertebrae Internal Fixation Revision in a Patient with Ankylosing Spondylitis: A Case Report

Ankylosing spondylitis (AS) is a chronic progressive inflammatory disease that affects the sacroiliac joints and surrounding joints. It is a seronegative spondyloarthritis that invades connective tissue. Managing cervical spine fractures in patients with AS is particularly challenging due to the severity of the deformity and the instability of the fracture. Cervical spine fracture combined with spinal cord injury is the leading cause of death and is strongly correlated with in-hospital mortality in patients with ankylosing spondylitis. There have been limited reports on the revision of cervical spine fractures after internal fixation in patients with AS. The case report is about a patient who is a 34-year-old man who underwent emergency surgery at a local hospital for a cervical spine fracture resulting from a car accident. A postoperative review revealed that the anterior internal fixation was detached, leading to a revision surgery being performed according to the patient&amp;apos;s actual condition. Unfortunately, the internal fixation became dislodged fol-lowing the initial surgery, exacerbating the patient&amp;apos;s condi-tion and leading to the development of pneumonia. In order to prevent the need for revision surgery, it is crucial to carefully evaluate and determine the most suitable surgical approach for patients with cervical spine fractures and spinal cord injury before proceeding with the initial surgery.

Predictors of prolonged length of hospital stay and in-hospital mortality in patients aged 1–24 months with acute bronchiolitis in Douala, Cameroon

IntroductionIn Cameroon, acute bronchiolitis has been reported as the third commonest lower respiratory infection and is usually associated with low mortality. Nonetheless, respiratory distress associated with non-adherence to management guidelines can prolong hospital stay. This study aimed to explore predictors of prolonged hospital stay (≥ 5 days) and mortality in patients aged < 2years hospitalised for acute bronchiolitis.MethodologyWe conducted a retrospective cohort study at three paediatric units in the city of Douala, Cameroon. Factors associated with prolonged hospital stay and mortality were determined using multivariable linear regression model. Threshold for significance was set at p ≤ 0.05.ResultsA total of 215 patients with bronchiolitis were included with mean age of 6.94 ± 5.71 months and M/F sex ratio of 1.39/1. Prolonged hospital stay was reported in 46.98% and mortality in 10.70% of patients hospitalised for bronchiolitis. Factors independently associated with prolonged hospital duration were oxygen administration [b = 0.36, OR = 2.35 (95% CI:1.16–4.74), p = 0.017], abnormal respiratory rate [b = 0.38, OR = 2.13 (1.00-4.55), p = 0.050] and patients presenting with cough [b = 0.33, OR = 2.35 (95% CI: 1.22–4.51), p = 0.011], and diarrhoea [b = 0.71, OR = 6.44 (95% CI: 1.6-25.86), p = 0.009] on admission. On the other hand, factors independently associated with mortality were age of the patient [b= -0.07, OR = 0.84 (95% CI: 0.74–0.97), p = 0.014] and oxygen administration [b = 1.08, OR = 9.64 (95% CI:1.16–79.85), p = 0.036]ConclusionAcute bronchiolitis represented 1.24% of admissions and was common in the rainy season, in males and 3–11-month-old patients. Management guidelines were poorly respected. Prolonged length of stay was reported in half of the patients hospitalized and mortality was high, especially in younger patients and in patients receiving oxygen.

Association between serum anion gap and risk of in-hospital mortality in patients with acute heart failure

A high serum anion gap (AG) at the time of patient admission can lead to the deterioration or even death; data are lacking for patients who suffer acute heart failure (AHF). The present study aimed at exploring the impact of serum AG (SAG) levels on the in-hospital mortality in AHF patients. The study conducted retrospective analysis on the data from the medical information mart for intensive care (MIMIC-IV) database in severe AHF cases. Serum AG, age, sex, concomitant diseases and laboratory tests were collected from patients at admission. Multivariate Cox proportional hazard regression model together with Kaplan Meier (K–M) survival curve served for analyzing the relationship of serum AG with the hospital all-cause mortality (ACM). In addition, subgroup analysis assisted in assessing the concordance. Data from 2774 AHF patients were collected in the study. The hospital ACM rate was 9.2% (254/2774). After correcting potential confounders, multivariate analysis compared the high serum AG level (≥ 16 mmol/L) and the low serum AG level (< 16 mmol/L) (hazard ratio (HR): 1.89 [95% CI 1.42–2.51]). In a similar way, K–M survival curve indicated that hospital survival was lower in patients with high serum, suggesting that high serum AG level could lead to poor AHF prognosis. In patients with AHF, high serum AG level could increase the hospital ACM.

Performance of the Models Predicting In-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infarction with Predictors in Categorical and Continuous Forms.

A single-center retrospective study has been conducted, within the framework of which data from 4674 medical records of patients with STEMI after PCI, treated at the Regional Vascular Center of Vladivostok (Russia), have been analyzed. Two groups of patients were identified: group 1 consisted of 318 (6.8%) individuals who died in the hospital, group 2 included 4356 (93.2%) patients with a favorable outcome of treatment. IHM prognostic models were developed using multivariate logistic regression (MLR), random forest (RF), and stochastic gradient boosting (SGB). 6-metric qualities were used to evaluate the accuracy of the models. Threshold values of IHM predictors were determined using a grid search to find the optimal cut-off points, calculating centroids, and Shapley additive explanations. The latter helped evaluate the degree to which the model predictors influence the endpoint. Based on the results of the multi-stage analysis of indicators of clinical and functional status of the STEMI patients, new predictors of IHM have been identified and validated, complementing the factors of the GRACE scoring system, their categorization has been carried out and prognostic models with continuous and categorical variables based on MLR, RF, and SGB have been developed. These models had a high (AUC - 0.88 to 0.90) and comparable predictive accuracy, but their predictors differed in various degrees of influence on the endpoint. The comparative analysis has shown that the Shapley additive explanation method has advantages in categorizing predictors compared to other methods and allows for detailing the structure of their relationships with IHM. The use of modern data mining methods, including machine learning algorithms, categorization of predictors, and assessment of the degree of their effect on the endpoint, makes it possible to develop predictive models possessing high accuracy and the properties of explanation of the generated conclusions.

Early warning scores for sepsis identification and prediction of in-hospital mortality in adults with sepsis: A systematic review and meta-analysis.

The early warning scores (EWS), quick Sequential Organ Failure Assessment (qSOFA) and systemic inflammatory response syndrome (SIRS) criteria have been proposed as sepsis screening tools. This review aims to summarise and compare the performance of EWS with the qSOFA and SIRS criteria for predicting sepsis diagnosis and in-hospital mortality in patients with sepsis. A systematic review with meta-analysis. Seven databases were searched from January 1, 2016 until March 10, 2022. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Sensitivity, specificity, likelihood ratios and diagnostic odd ratios were pooled by using the bivariate random effects model. Overall performance was summarised by using the hierarchical summary receiver-operating characteristics curve. This paper adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines. Ten studies involving 52,474 subjects were included in the review. For predicting sepsis diagnosis, the pooled sensitivity of EWS (65%, 95% CI: 55, 75) was similar to SIRS ≥2 (70%, 95% CI: 49, 85) and higher than qSOFA ≥2 (37%, 95% CI: 20, 59). The pooled specificity of EWS (77%, 95% CI: 64, 86) was higher than SIRS ≥2 (62%, 95% CI: 41, 80) but lower than qSOFA ≥2 (94%, 95% CI: 86, 98). Results were similar for the secondary outcome of in-hospital mortality. Although no one scoring system had both high sensitivity and specificity, the EWS had at least equivalent values in most measures of diagnostic accuracy compared with SIRS or qSOFA. Healthcare systems in which EWS is already in place should consider whether there is any clinical benefit in adopting qSOFA or SIRS. This systematic review did not directly involve patient or public contribution to the manuscript.

Mortality Predictors in Patients with Cardiovascular Involvement by COVID-19

Introduction: SARS-CoV-2 is a new coronavirus responsible for one of the most evident diseases today, COVID-19, registering approximately 419,000 deaths until 2020. Some risk factors for infection and mortality must be assessed in clinical and research scenarios, such as the presence of cardiovascular diseases, with clinical and laboratory alterations. Objective: Our study aims to analyze the association between clinical and laboratory data and in-hospital mortality in patients with cardiovascular involvement by COVID-19 in Brazil. Method: This is a retrospective, observational, single-center cohort study. The sample consisted of patients admitted to a reference hospital from July 2020 to April 2021. We included patients over 18 years of age, hospitalized with COVID-19 infection, who developed heart involvement identified by clinical or laboratory findings. Patients who were pregnant or had negative serological tests for COVID-19 were excluded. Clinical variables such as gender, age, comorbidities, medications used during hospitalization, chest computed-tomography findings, need for intensive care unit, need for mechanical ventilation, and need for intravenous vasoactive drugs were analyzed. The laboratory variables analyzed were: troponin, NT-proBNP and D-dimer levels. The endpoint of the study was in-hospital death. Statistical analysis of the collected data was performed using Pearson&amp;apos;s Chi-square test, Student&amp;apos;s T test; p values &amp;lt; 0.05 were considered statistically significant. Results: 139 patients were included, and 30 (21.58%) patients died during hospitalization. The group that evolved to death, compared to the discharge group, was older (71 vs 65 years; p = 0.03), had more pleural effusion on chest computed-tomography (36% vs 17%; p = 0.023), had higher troponin levels (40% vs 20%; p = 0.02), more need for intensive care (83% vs 52%; p = 0.002), orotracheal intubation (83% vs 26%; p = 0.001), use of norepinephrine (76% vs 18%; p = 0.001), use of dobutamine (16% vs 4%; p = 0.023), and use of unfractioned heparin (46% vs 21%; p = 0.005). Conclusion: Advanced age was significantly associated with in-hospital death. In radiological patterns, despite the high incidence of ground-glass opacities, pleural effusion was the only finding associated with mortality. Increased troponin levels, but not NT-proBNP or D-dimer, was associated with in-hospital mortality. The need for norepinephrine and dobutamine, in addition to Intensive Care Unit admission and orotracheal Intubation, were also more frequent in the group that presented death during hospitalization, as wells as the use of unfractionated heparin rather than enoxaparin.

Enhancing Pulmonary Embolism Mortality Risk Stratification Using Machine Learning: The Role of the Neutrophil-to-Lymphocyte Ratio.

(1) Background: Acute pulmonary embolism (PE) is a significant public health concern that requires efficient risk estimation to optimize patient care and resource allocation. The purpose of this retrospective study was to show the correlation of NLR (neutrophil-to-lymphocyte ratio) and PESI (pulmonary embolism severity index)/sPESI (simplified PESI) in determining the risk of in-hospital mortality in patients with pulmonary thromboembolism. (2) Methods: A total of 160 patients admitted at the County Clinical Emergency Hospital of Sibiu from 2019 to 2022 were included and their hospital records were analyzed. (3) Results: Elevated NLR values were significantly correlated with increased in-hospital mortality. Furthermore, elevated NLR was associated with PESI and sPESI scores and their categories, as well as the individual components of these parameters, namely increasing age, hypotension, hypoxemia, and altered mental status. We leveraged the advantages of machine learning algorithms to integrate elevated NLR into PE risk stratification. Utilizing two-step cluster analysis and CART (classification and regression trees), several distinct patient subgroups emerged with varying in-hospital mortality rates based on combinations of previously validated score categories or their defining elements and elevated NLR, WBC (white blood cell) count, or the presence COVID-19 infection. (4) Conclusion: The findings suggest that integrating these parameters in risk stratification can aid in improving predictive accuracy of estimating the in-hospital mortality of PE patients.

Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury

Objectives This study aims to develop and validate a prediction model in-hospital mortality in critically ill patients with sepsis-associated acute kidney injury (SA-AKI) based on machine learning algorithms. Methods Patients who met the criteria for inclusion were identified in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and divided according to the validation (n = 2440) and development (n = 9756, 80%) queues. Ensemble stepwise feature selection method was used to screen for effective features. The prediction models of short-term mortality were developed by seven machine learning algorithms. Ten-fold cross-validation was used to verify the performance of the algorithm in the development queue. The area under the receiver operating characteristic curve (ROC-AUC) was used to evaluate the differentiation accuracy and performance of the prediction model in the validation queue. The best-performing model was interpreted by Shapley additive explanations (SHAP). Results A total of 12,196 patients were enrolled in this study. Eleven variables were finally chosen to develop the prediction model. The AUC of the random forest (RF) model was the highest value both in the Ten-fold cross-validation and evaluation (AUC: 0.798, 95% CI: 0.774–0.821). According to the SHAP plots, old age, low Glasgow Coma Scale (GCS) score, high AKI stage, reduced urine output, high Simplified Acute Physiology Score (SAPS II), high respiratory rate, low temperature, low absolute lymphocyte count, high creatinine level, dysnatremia, and low body mass index (BMI) increased the risk of poor prognosis. Conclusions The RF model developed in this study is a good predictor of in-hospital mortality for patients with SA-AKI in the intensive care unit (ICU), which may have potential applications in mortality prediction.

Association between estimated pulse wave velocity and in-hospital mortality of patients with acute kidney injury: a retrospective cohort analysis of the MIMIC-IV database

Background Estimated pulse wave velocity (ePWV) has been found to be an independent predictor of cardiovascular mortality and kidney injury, which can be estimated noninvasively. This study aimed to investigate the association between ePWV and in-hospital mortality in critically ill patients with acute kidney injury (AKI). Methods This study included 5960 patients with AKI from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The low and high ePWV groups were compared using a Kaplan-Meier survival curve to evaluate the differences in survival status. Cox proportional hazards models were used to explore the association between ePWV and in-hospital mortality in critically ill patients with AKI. To further examine the dose-response relationship, we used a restricted cubic spline (RCS) model. Stratification analyses were conducted to investigate the effect of ePWV on hospital mortality across various subgroups. Results Survival analysis indicated that patients with high ePWV had a lower survival rate than those with low ePWV. Following adjustment, high ePWV demonstrated a statistically significant association with an increased risk of in-hospital mortality among AKI patients (HR = 1.53, 95% CI = 1.36-1.71, p < 0.001). Analysis using the RCS model confirmed a linear increase in the risk of hospital mortality as the ePWV values increased (P for nonlinearity = 0.602). Conclusions A high ePWV was significantly associated with an increased risk of in-hospital mortality among patients with AKI. Furthermore, ePWV was an independent predictor of in-hospital mortality in critically ill patients with AKI.

Risk of Bleeding in Elderly Patients Undergoing Transcatheter Aortic Valve Implantation or Surgical Aortic Valve Replacement

Background: Bleeding complications are strong predictors of mortality and major morbidity in elderly patients undergoing surgical aortic valve replacement (SAVR) or transcatheter aortic valve implantation (TAVI). Despite the high prevalence of frailty in this population, little is known about its effects on bleeding risk. Methods: We conducted a retrospective observational study of 502 patients undergoing isolated SAVR or TAVI between January 2015 and February 2022. The occurrence of blood products transfusions and MACEs were the primary endpoints. In-hospital mortality was the secondary endpoint. Results: The Elderly group (age &lt; 80 years old) included 475 subjects, whereas the Very Elderly group (age ≥ 80 years old) included 127 patients. The need for blood product transfusion was similar among the two groups, regardless of the type of procedure. MACEs occurred similarly between groups [SAVR: Elderly group: 7.9% vs. Very Elderly group: 8.6%, p = 0.864; TAVI: Elderly group: 5.5% vs. Very Elderly group: 8.7%, p = 0.378]. The was no difference in in-hospital mortality rate in patients submitted to TAVI, whereas very elderly patients had higher mortality rate compared to the elderly patients submitted to SAVR [SAVR: Elderly group: 0% vs. Very Elderly group: 2.8%, p = 0.024; TAVI: Elderly group: 4,8% vs. Very Elderly group: 8%, p = 0.389]. Conclusions: Age alone should not be considered as a predictive factor for post-operative adverse events or in-hospital mortality in elderly patients with severe symptomatic AS.

Prevalence and outcomes of chronic comorbid conditions in patients with sepsis in Korea: a nationwide cohort study from 2011 to 2016

BackgroundChronic comorbid conditions are common in patients with sepsis and may affect the outcomes. This study aimed to evaluate the prevalence and outcomes of common comorbidities in patients with sepsis.MethodsWe conducted a nationwide retrospective cohort study. Using data from the National Health Insurance Service of Korea. Adult patients (age ≥ 18 years) who were hospitalized in tertiary or general hospitals with a diagnosis of sepsis between 2011 and 2016 were analyzed. After screening of all International Classification of Diseases 10th revision codes for comorbidities, we identified hypertension, diabetes mellitus (DM), liver cirrhosis (LC), chronic kidney disease (CKD), and malignancy as prevalent comorbidities.ResultsOverall, 373,539 patients diagnosed with sepsis were hospitalized in Korea between 2011 and 2016. Among them, 46.7% had hypertension, 23.6% had DM, 7.4% had LC, 13.7% had CKD, and 30.7% had malignancy. In-hospital mortality rates for patients with hypertension, DM, LC, CKD, and malignancy were 25.5%, 25.2%, 34.5%, 28.0%, and 33.3%, respectively, showing a decreasing trend over time (P < 0.001). After adjusting for baseline characteristics, male sex, older age, use of mechanical ventilation, and continuous renal replacement therapy, LC, CKD, and malignancy were significantly associated with in-hospital mortality.ConclusionsHypertension is the most prevalent comorbidity in patients with sepsis, and it is associated with an increased survival rate. Additionally, liver cirrhosis, chronic kidney disease, and malignancy result in higher mortality rates than hypertension and DM, and are significant risk factors for in-hospital mortality in patients with sepsis.

Comparison of NEWS2 and CURB65 Score in Predicting Mortality of Hospitalized patients with AECOPD

Aim: To determine the diagnostic accuracy of the NEWS2 and CURB-65 scores in predicting in-hospital mortality in patients with acute exacerbations of COPD, mortality during hospital stays is considered the gold standard. Study Design: Cross-sectional study-design. Place and duration of study: Department of Chest Medicine, JPMC, Karachi, from September 25, 2020, to January 25, 2021. Two hundred and twelve patients of both genders were included who were admitted because of acute COPD exacerbations. The National Early Warning Score 2 (NEWS2) and CURB-65 Score in the estimation and evaluation of hospital-related mortality were noted. Results: NEWS2 predicted 156(73.6%), CURB-65 predicted 72(34%) as high-risk patients, and in-hospital mortality was 39(18.4%). NEWS2 had shown sensitivity of 100%, specificity of 32.4%, diagnostic accuracy of 45%, PPV of 25.1%, and NPV of 100% as a prediction value of in-hospital mortality. CURB-65 had shown sensitivity of 76.9%, specificity of 75.7%, and diagnostic accuracy of 76%, PPV of 41.7%, and NPV of 93.6% as a prediction value of in-hospital mortality. Implication: It is recommended that individual analyses of these associated factors be performed in future studies for the formulation of novel, efficient scores that may be better predictors of mortality in AECOPD patients. Conclusion: Both of the scoring systems can be used for the purpose of AECOPD patients risk stratification as per clinicians’ preference and as the basic tools of assessment in a resource-poor country. Keywords: Acute exacerbation of COPD, NEWS2, CURB-65, In-hospital mortality

A novel score to predict in-hospital mortality for patients with acute coronary syndrome and out-of-hospital cardiac arrest: the FACTOR study.

Acute coronary syndromes (ACS) represent a substantial global healthcare challenge. In its most severe form, it can lead to out-of-hospital cardiac arrest (OHCA). Despite medical advancements, survival rates in OHCA patients remain low. Further, the prediction of outcomes in these patients poses a challenge to all health care providers involved. This study aims at developing a score with variables available on admission to assess in-hospital mortality of patients with OHCA undergoing coronary angiography. All patients with OHCA due to ACS admitted to a tertiary care center were included. A multivariate logistic regression analysis was conducted to explore the association between clinical variables and in-hospital all-cause mortality. A scoring system incorporating variables available upon admission to assess individual patients' risk of in-hospital mortality was developed (FACTOR score). The score was then validated. A total of 291 patients were included in the study, with a median age of 65 [56-73] years, including 47 women (16.2%). The in-hospital mortality rate was 41.2%. A prognostic model was developed in the derivation cohort (n = 138) and included the following variables: age, downtime, first detected rhythm, and administration of epinephrine. The area under the curve for the FACTOR score was 0.823 (95% CI 0.737-0.894) in the derivation cohort and 0.828 (0.760-0.891) in the validation cohort (n = 153). The FACTOR score demonstrated a reliable prognostic tool for health care providers in assessing in-hospital mortality of OHCA patients. Early acknowledgement of a poor prognosis may help in patient management and allocation of resources.

Early Sepsis-Associated Acute Kidney Injury and Obesity.

The prevalence of obesity is increasing in the intensive care unit (ICU). Although obesity is a known risk factor for chronic kidney disease, its association with early sepsis-associated acute kidney injury (SA-AKI) and their combined association with patient outcomes warrant further investigation. To explore the association between obesity, early SA-AKI incidence, and clinical outcomes in patients with sepsis. This nationwide, prospective cohort study analyzed patients aged 19 years or older who had sepsis and were admitted to 20 tertiary hospital ICUs in Korea between September 1, 2019, and December 31, 2021. Patients with preexisting stage 3A to 5 chronic kidney disease and those with missing body mass index (BMI) values were excluded. Sepsis and hospitalization in the ICU. The primary outcome was SA-AKI incidence within 48 hours of ICU admission, and secondary outcomes were mortality and clinical recovery (survival to discharge within 30 days). Patients were categorized by BMI (calculated as weight in kilograms divided by height in meters squared), and data were analyzed by logistic regression adjusted for key characteristics and clinical factors. Multivariable fractional polynomial regression models and restricted cubic spline models were used to analyze the clinical outcomes with BMI as a continuous variable. Of the 4041 patients (median age, 73 years [IQR, 63-81 years]; 2349 [58.1%] male) included in the study, 1367 (33.8%) developed early SA-AKI. Obesity was associated with a higher incidence of SA-AKI compared with normal weight (adjusted odds ratio [AOR], 1.40; 95% CI, 1.15-1.70), as was every increase in BMI of 10 (OR, 1.75; 95% CI, 1.47-2.08). While obesity was associated with lower in-hospital mortality in patients without SA-AKI compared with their counterparts without obesity (ie, underweight, normal weight, overweight) (AOR, 0.72; 95% CI, 0.54-0.94), no difference in mortality was observed in those with SA-AKI (AOR, 0.85; 95% CI, 0.65-1.12). Although patients with obesity without SA-AKI had a greater likelihood of clinical recovery than their counterparts without obesity, clinical recovery was less likely among those with both obesity and SA-AKI. In this cohort study of patients with sepsis, obesity was associated with a higher risk of early SA-AKI and the presence of SA-AKI modified the association of obesity with clinical outcomes.