The combined effect of bed-to-nurse ratio and nurse turnover rate on in-hospital mortality based on South Korean administrative data: a cross-sectional study

BackgroundIn-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI) is higher in those with COVID-19 than in those without COVID-19. The factors that predispose to this mortality rate and their relative contribution are poorly understood. This study developed a risk score inclusive of clinical variables to predict in-hospital mortality in patients with COVID-19 and STEMI.MethodsBaseline demographic, clinical, and procedural data from patients in the North American COVID-19 Myocardial Infarction registry were extracted. Univariable logistic regression was performed using candidate predictor variables, and multivariable logistic regression was performed using backward stepwise selection to identify independent predictors of in-hospital mortality. Independent predictors were assigned a weighted integer, with the sum of the integers yielding the total risk score for each patient.ResultsIn-hospital mortality occurred in 118 of 425 (28%) patients. Eight variables present at the time of STEMI diagnosis (respiratory rate of >35 breaths/min, cardiogenic shock, oxygen saturation of <93%, age of >55 ​years, infiltrates on chest x-ray, kidney disease, diabetes, and dyspnea) were assigned a weighted integer. In-hospital mortality increased exponentially with increasing integer risk score (Cochran-Armitage χ2, P ​< ​.001), and the model demonstrated good discriminative power (c-statistic ​= ​0.81) and calibration (Hosmer-Lemeshow, P ​= ​.40). The increasing risk score was strongly associated with in-hospital mortality (3.6%-60% mortality for low-risk and very high–risk score categories, respectively).ConclusionsThe risk of in-hospital mortality in patients with COVID-19 and STEMI can be accurately predicted and discriminated using readily available clinical information.

BackgroundAlactic base excess (ABE) is a novel biomarker to evaluate the renal capability of handling acid-base disturbances, which has been found to be associated with adverse prognosis of sepsis and shock patients. This study aimed to evaluate the association between ABE and the risk of in-hospital mortality in patients with acute myocardial infarction (AMI).MethodsThis retrospective cohort study collected AMI patients’ clinical data from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The outcome was in-hospital mortality after intensive care unit (ICU) admission. Univariate and multivariate Cox proportional hazards models were performed to assess the association of ABE with in-hospital mortality in AMI patients, with hazard ratios (HRs) and 95% confidence intervals (CI). To further explore the association, subgroup analyses were performed based on age, AKI, eGFR, sepsis, and AMI subtypes.ResultsOf the total 2779 AMI patients, 502 died in hospital. Negative ABE (HR = 1.26, 95%CI: 1.02–1.56) (neutral ABE as reference) was associated with a higher risk of in-hospital mortality in AMI patients, but not in positive ABE (P = 0.378). Subgroup analyses showed that negative ABE was significantly associated with a higher risk of in-hospital mortality in AMI patients aged>65 years (HR = 1.46, 95%CI: 1.13–1.89), with eGFR<60 (HR = 1.35, 95%CI: 1.05–1.74), with AKI (HR = 1.32, 95%CI: 1.06–1.64), with ST-segment elevation acute myocardial infarction (STEMI) subtype (HR = 1.79, 95%CI: 1.18–2.72), and without sepsis (HR = 1.29, 95%CI: 1.01–1.64).ConclusionNegative ABE was significantly associated with in-hospital mortality in patients with AMI.

Stroke-associated pneumonia (SAP) significantly increases patients' risk of death after stroke. The identification of patients at high risk for SAP remains difficult. Nutritional assessment is valuable for risk identification in stroke patients. The aim of this study was to evaluate the relationship between prognostic nutritional index (PNI) levels and in-hospital mortality in SAP patients. A total of 336 SAP patients who visited the Third People's Hospital of Chengdu from January 2019 to December 2023 were included in this study, and PNI were calculated based on the results of admission examinations. Linear regression was used to analyze the influencing factors of baseline PNI in SAP patients. Logistic regression as well as restricted cubic splines (RCS) were used to analyze the relationship between baseline PNI levels and hospital mortality events in SAP patients. Receiver operating characteristic (ROC) curves were plotted to assess the predictive value of PNI for in-hospital mortality by area under the curve (AUC). Thirty out of 336 SAP patients presented with in-hospital mortality and these patients had significantly lower PNI levels. In our study, PNI levels were influenced by age, body mass index, and total cholesterol. Increased PNI levels are an independent protective factor for the risk of in-hospital mortality in SAP patients (OR: 0.232, 95% CI [0.096-0.561], P = 0.001). There was a nonlinear correlation between PNI and in-hospital mortality events (P for nonlinear <0.001). In terms of predictive effect, PNI levels were more efficacious in predicting in-hospital mortality in SAP patients with higher sensitivity and/or specificity compared to individual indicators (AUC = 0.750, 95% CI [0.641-0.860], P < 0.001). PNI levels in SAP patients were associated with the short-term prognosis of patients, and SAP patients with elevated PNI levels had a reduced risk of in-hospital mortality.

This study aimed to analyze the association between serum osmolality and the risk of in-hospital mortality in intracerebral hemorrhage (ICH) patients. In this retrospective cohort study, data of a total of 1,837 ICH patients aged ≥18 years were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV). Serum osmolality and blood urea nitrogen (BUN)-to-creatinine (Cr) ratio (BCR) were used as the main variables to assess their association with the risk of in-hospital mortality in ICH patients after first intensive care unit (ICU) admission using a univariable Cox model. Univariable and multivariable Cox regression analyses were applied to explore the associations between serum osmolality, BCR, and in-hospital mortality of ICH patients. Hazard ratio (HR) and 95% confidence intervals (CIs) were calculated. The median survival duration of all participants was 8.29 (4.61-15.24) days. Serum osmolality of ≥295 mmol/L was correlated with an increased risk of in-hospital mortality in patients with ICH (HR = 1.43, 95%CI: 1.14-1.78). BCR of >20 was not significantly associated with the risk of in-hospital mortality in ICH patients. A subgroup analysis indicated an increased risk of in-hospital mortality among ICH patients who were women, belonged to white or Black race, or had complications with acute kidney injury (AKI). High serum osmolality was associated with an increased risk of in-hospital mortality among ICH patients.

Although emergency Percutaneous Coronary Intervention (PCI) has been shown to reduce mortality in patients with Acute Myocardial Infarction (AMI), the risk of in-hospital death remains high. In this study, the authors aimed to identify risk factors associated with in-hospital mortality in AMI patients who underwent PCI, develop a nomogram prediction model, and evaluate its effectiveness. The authors retrospectively analyzed data from 1260 patients who underwent emergency PCI at Dongyang People's Hospital between June 1, 2013, and December 31, 2021. Patients were divided into two groups based on in-hospital mortality: the death group (n = 61) and the survival group (n = 1199). Clinical data between the two groups were compared. The Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to select non-zero coefficients of predictive factors. Multivariable logistic regression analysis was then performed to identify independent risk factors for in-hospital mortality in AMI patients after emergency PCI. A nomogram model for predicting the risk of in-hospital mortality in AMI patients after PCI was constructed, and its predictive performance was evaluated using the c-index. Internal validation was performed using the bootstrap method with 1000 resamples. The Hosmer-Lemeshow test was used to assess the goodness of fit, and a calibration curve was plotted to evaluate the model's calibration. LASSO regression identified d-dimer, B-type natriuretic peptide, white blood cell count, heart rate, aspartate aminotransferase, systolic blood pressure, and the presence of postoperative respiratory failure as important predictive factors for in-hospital mortality in AMI patients after PCI. Multivariable logistic regression analysis showed that d-dimer, B-type natriuretic peptide, white blood cell count, systolic blood pressure, and the presence of postoperative respiratory failure were independent factors for in-hospital mortality. A nomogram model for predicting the risk of in-hospital mortality in AMI patients after PCI was constructed using these independent predictive factors. The Hosmer-Lemeshow test yielded a Chi-Square value of 9.43 (p = 0.331), indicating a good fit for the model, and the calibration curve closely approximated the ideal model. The c-index for internal validation was 0.700 (0.560‒0.834), further confirming the predictive performance of the model. Clinical decision analysis demonstrated that the nomogram model had good clinical utility, with an area under the ROC curve of 0.944 (95 % CI 0.903‒0.963), indicating excellent discriminative ability. This study identified B-type natriuretic peptide, white blood cell count, systolic blood pressure, d-dimer, and the presence of respiratory failure as independent factors for in-hospital mortality in AMI patients undergoing emergency PCI. The nomogram model based on these factors showed high predictive accuracy and feasibility.

Association of coagulation function with the risk of in-hospital mortality in patients with severe acute respiratory distress syndrome

To investigate time-related association between fluid balance and prognosis in sepsis patients. A retrospective cohort study was conducted based on the data of sepsis patients in the Medical Information Database for Intensive Care-IV 2.0 (MIMIC-IV 2.0) from 2008 to 2019. Sepsis patients aged ≥ 18 years who were admitted to intensive care unit (ICU) for at least 2 days were included. The daily fluid balance and cumulative fluid balance (CFB) were calculated from days 1 to 7 after ICU admission. According to CFB,the patients were divided into negative fluid balance group (CFB% < 0%), fluid balance group (0% ≤ CFB% ≤ 10%), and fluid overload group (CFB% > 10%). In-hospital mortality was the primary outcome. Multifactorial Logistic regression was used to analyze time-related association between different CFB and the risk of in-hospital mortality in patients with sepsis during 7 days after ICU admission. In addition, subgroup analysis was performed on patients with septic shock and patients with sepsis who stayed in the ICU for 7 days or longer. A total of 11 437 patients with sepsis were included, of which 6 595 were male and 4 842 were female. The mean age was (64.4±16.4) years. A total of 10 253 patients (89.6%) survived and 1 184 patients (10.4%) died during hospitalization. Compared with the survival group, patients in the death group were older, lighter, had higher sequential organ failure assessment (SOFA), simplified acute physiology score II (SAPS II), longer ICU stay, higher incidence of septic shock, and higher proportion of invasive mechanical ventilation, renal replacement therapy (RRT) and vasoactive drugs. In terms of comorbidities, congestive heart failure, renal disease, liver disease, and malignancy were more common in the death group. The death group had a higher daily fluid balance than the survival group during 7 days after ICU admission, the CFB in the two groups gradually increased with length of ICU stay. After adjusting variables such as age, gender, race, SOFA score, SAPS II score, comorbidities, and the use of invasive mechanical ventilation, RRT and vasoactive drugs, multivariate Logistic regression analysis showed that fluid overload on day 1 after ICU admission was a protective factor for the reduced risk of in-hospital mortality in sepsis patients [odds ratio (OR) = 0.74, 95% confidence interval (95%CI) was 0.64-0.86, P = 0.001]. However, fluid overload on day 3 was a risk factor for in-hospital mortality in sepsis patients (OR = 1.70, 95%CI was 1.47-1.97, P < 0.001) and the risk of in-hospital mortality was significantly increased from day 4 to day 7. Furthermore, the same results were obtained in patients with septic shock and sepsis patients who stayed in the ICU for 7 days or longer. Fluid overload on day 1 was associated with reduced in-hospital mortality. However, from the third day, fluid overload increases the risk of in-hospital mortality. Thus, managing fluid balance at different times may improve prognosis.

Several studies have illustrated the association of the triglyceride glucose (TyG) index with in-hospital and intensive care unit (ICU) mortality. However, no studies have compiled this evidence and reached a conclusion. This study aimed to quantify the association of the TYG index with the risk of in-hospital and ICU mortality. An extensive search of databases including PubMed, Scopus, and Web of Science, was performed up to 21 Jan 2024. Nineteen studies were included in the meta-analysis. The outcomes were in-hospital mortality in 18 studies and ICU mortality in 8 studies. Among the 42,525 participants, 5233 in-hospital and 1754 ICU mortality cases were reported. The pooled analysis revealed that each unit increase in the TYG index was associated with a 33% and 45% increase in the risk of in-hospital (RR = 1.33; 95% CI: 1.23, 1.43; I squared = 90.3%) and ICU (RR: 1.45; 95% CI: 1.25, 1.67; I squared = 44.8%) mortality, respectively. Subgroup analysis revealed a stronger association between the TYG index and the risk of in-hospital mortality in patients with cardiovascular diseases than in those with cerebrovascular diseases (Pheterogeneity between Groups = 0.014). The findings of this study showed a positive association between the TyG index and the risk of in-hospital and ICU mortality. (PROSPERO registration ID: CRD420245414390).

Association of Gustave Roussy immune score and the risk of in-hospital mortality in patients with acute respiratory distress syndrome: A retrospective cohort study from MIMIC-IV database.

This study analyzed the association between estimated pulse wave velocity (ePWV) and the risk of hospital mortality in sepsis patients in the intensive care unit (ICU). Utilizing a retrospective cohort study design, this investigation extracted data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Participants were categorized into groups based on the median ePWV values. The primary outcome measured was in-hospital mortality among patients within the ICU. To delve into the relationship between ePWV and the risk of in-hospital mortality in sepsis patients admitted to the ICU, the study employed univariate and multivariate Cox proportional hazards regression models. Additionally, subgroup analyses were performed, stratifying the data by age, gender, and the presence of comorbid conditions to further elucidate the findings. A total of 11, 069 were included in the analysis, with 1,568 (14.2%) experiencing in-hospital mortality. When analyzed as a continuous variable, each 1 m/s increase in ePWV was associated with a 10% increase in the risk of in-hospital mortality [hazard ratio (HR): 1.10, 95% confidence interval (CI): 1.06–1.14, P < 0.001]. In the analysis dichotomized at the median (9.73 m/s), patients with higher ePWV (≥ 9.73 m/s) also had a significantly increased risk (adjusted HR: 1.25, 95% CI: 1.08–1.44, P = 0.002]. Upon conducting subgroup analyses, a consistent trend was identified where increased ePWV was associated with a higher risk of in-hospital mortality across different patient demographics, including various age groups and genders, and in individuals with acute myocardial infarction and hypertensive diseases. However, the association between ePWV and in-hospital mortality was significant only in sepsis patients without heart failure. The study’s results demonstrate a significant association between elevated ePWV levels and an increased risk of in-hospital mortality among individuals with sepsis. By identifying patients with higher ePWV levels, healthcare providers may be able to implement more targeted risk assessment strategies and tailor therapeutic approaches to improve patient outcomes.

Background. Pulmonary embolism (PE) is the third leading cause of cardiovascular mortality. High-risk PE patients have more severe course of disease and poor prognosis. The question of additional factors which may be associated with prognosis in such patients remains poorly understood. The aim is to identify factors associated with mortality in high-risk PE patients and to determine contribution of these factors to the risk stratification of death. Materials and methods. A retrospective analysis of 635 medical cards of patients with PE diagnosis hospitalized in Kharkiv City Clinical Hospital 8 from January 1, 2017 to January 1, 2023 was conducted. The diagnosis was verified by multispiral computed tomography pulmonary angiography (CTPA) and/or by autopsy. Patients were divided into groups: group І — high-risk (113 — 17.8 %); group II — low-risk (522 — 82.2 %). Group I was divided into subgroups: IA — 63 (55.8 %) individuals, who were discharged from the hospital with improved status, IB — 50 (44.2 %) people, who died in hospital. Clinical, anamnestic, laboratory and instrumental parameters were measured. Statistical analysis was performed. Results. Patients from group I were older, there were more women among them. In subgroup ІВ, there are more women, more cases of obesity and deep vein thrombosis. Patients from group IB had lower blood oxygen saturation (SpO2) and systolic blood pressure (SBP), lower left ventricular ejection fraction (LVEF) measured by echocardiography. Bilateral segmental pulmonary embolism according to CTPA was more common in IB group. According to uni- and multivariate analysis, independent factors affecting in-hospital mortality in patients with high-risk PE were determined, among them: female gender, presence of bifurcation thrombus, lower SBP, SpO2, LVEF. Using the additional regression analysis, the formula for individual prediction of the risk of in-hospital mortality in high-risk PE patients was created. According to the receiver operating characteristic analysis, the sensitivity of the formula is 64.0 %, specificity is 92.1 %. The SBAFS (S — SpO2, B — Bifurcation thrombus, A — Arterial hypotension, F — left ventricular ejection Fraction, S — female Sex) score was formed, where the score of 2 or more indicates additional high risk of in-hospital mortality in high-risk PE patients. Conclusion. The high-risk PE patients who died during hospitalization had more cases of obesity, hypertension, lower SpO2, SBP, and LVEF, and there were more women among them. According to the multivariate logistic regression analysis, additional independent factors associated with in-hospital mortality in high-risk PE patients are female sex, thrombus in bifurcation of the pulmonary trunk, SpO2, SBP, LVEF. The formula for risk stratification of in-hospital death in high-risk PE patients was created and validated. The SBAFS score was formed to indicate additional high risk of in-hospital mortality in high-risk PE patients.

The objective of this study was to examine the association between mean arterial pressure (MAP) at admission and in-hospital mortality among patients diagnosed with subarachnoid hemorrhage (SAH). In this cohort study, 1420 SAH patients were categorized into four groups based on quartiles of MAP: <82 mmHg group, 82-93 mmHg group, 93-103 mmHg group, and >103 mmHg group. Furthermore, the X-tile program was used to divide all patients into four groups: < 81.7 mmHg group, 81.7-92.3 mmHg group, 92.3-103.7 mmHg group, and > 103.7 mmHg group. The association between MAP and in-hospital mortality of SAH patients was evaluated using univariate and multivariable Cox proportional hazards models. A restricted cubic spline (RCS) was plotted to explore the association between MAP at admission and in-hospital mortality in patients with SAH. The median follow-up duration was 7.87 days, during which, 1219 (85.85%) patients survived. After adjusting for confounding factors, MAP <82 mmHg (hazard ratio (HR)=1.67, 95% confidence interval (CI): 1.08-2.57) or MAP >103 mmHg (HR=2.13, 95% CI: 1.38-3.29) was associated with increased risk of in-hospital mortality of SAH patients. Subgroup analysis depicted that MAP <82 mmHg or MAP >103 mmHg was associated with increased risk of in-hospital mortality in male patients or those aged ≥ 65 years. MAP >103 mmHg was linked with elevated risk of in-hospital mortality in patients aged <65 years; individuals with normal and underweight, overweight, and obesity; or people with hypertension. The findings may offer a preliminary estimate of the optimum range for SAH patients for future randomized trials.

This study was to investigate the association between oral anticoagulant use and 28-day mortality and in-hospital mortality in patients with acute respiratory distress syndrome (ARDS). A total of 1754 ARDS patients were identified in database from 2008 to 2022 in this cohort study. Univariable and multivariable cox regression models were applied to assess the associations of oral anticoagulant use with the risk of 28-day mortality and in-hospital mortality. Propensity score matching (PSM) was performed in ARDS patients according to whether they were taking oral anticoagulants or not to control potential bias. Subgroup analysis was performed according to severity of ARDS (mild, moderate, and severe), and comorbidities (atrial fibrillation, sepsis, and AKI). Hazards ratio (HR) and respective confidence interval (CI) were presented. In total, 7758 patients not receiving oral anticoagulant and 905 patients receiving oral anticoagulant. The reduced risk of 28-day mortality in ARDS patients was identified in those undergoing oral anticoagulant use (HR = 0.32, 95%CI: 0.24-0.44). Oral anticoagulant use was associated with reduced risk of in-hospital mortality (HR = 0.27, 95%CI: 0.20-0.37). After adjusting for the respective confounding factors, the associations of Warfarin with decreased risk of 28-day and in-hospital mortality were not significant (P > 0.05). Oral anticoagulant was related to decreased risk of 28-day/in-hospital mortality in patients with ARDS. Warfarin and novel oral anticoagulants showed no significant difference on 28-day/in-hospital mortality in patients with ARDS.

This study aimed to explore the relationship between comorbidity factors and in-hospital mortality related to factors in patients with carbapenem-resistant Klebsiella pneumoniae (CRKP) pneumonia. This study collected clinical data from 218 patients with CRKP pneumonia in Beijing hospital from November 2011 to December 2023, analyzed the number of comorbidities carried by CRKP pneumonia patients, comorbidity patterns, Charlson Comorbidity Index (CCI) scores, and comorbidity of underlying diseases, and explored the relationship between various indicators and comorbidity factors and in-hospital mortality in CRKP pneumonia patients. The Ward.D cluster analysis was performed on the comorbidities of patients and used to draw heatmaps. Using a multiple logistic regression model, a nomogram model was constructed to predict in-hospital mortality in patients with CRKP pneumonia. This study included 218 patients with CRKP pneumonia. The results showed that there were significant differences in the age (P=0.003), comorbidities such as heart failure (P<0.001), arrhythmia (P=0.002), chronic liver disease (P=0.003), chronic kidney disease (P=0.002), CCI score (P=0.007), total number of comorbidities (P<0.001), and comorbidity patterns (respiratory/immune/psychiatric disease patterns and cardiovascular/tumor/metabolic disease patterns, P=0.003) between the survival and death groups of CRKP pneumonia patients. The multiple logistic regression showed that cardiovascular/tumor/metabolic disease patterns (P=0.030), CCI score (P=0.040), concomitant heart failure (P=0.011), and concomitant arrhythmia (P=0.025) were independent risk factors for in-hospital mortality in patients with CRKP pneumonia. The nomogram model for predicting the risk of in-hospital mortality in patients with CRKP pneumonia, constructed based on the identified risk factors, had an area under the ROC curve of 0.758. Both the ROC curve and validation curve indicated that the nomogram model had stable performance in predicting in-hospital mortality in patients with CRKP pneumonia. In summary, comorbidity factors are risk factors for predicting in-hospital mortality in patients with CRKP pneumonia, and the role of comorbidity factors in in-hospital mortality in patients with CRKP pneumonia should be taken seriously.

Several studies have suggested the favorable impact of thiamine administration on the prognosis of diseases. However, the value of thiamine in patients with traumatic brain injury (TBI) admitted to the intensive care unit (ICU) remains unclear. The aim of this study was to investigate the association between the between thiamine administration and in-hospital mortality in TBI patients. A cohort of 1,755 individuals diagnosed with TBI from the Medical Information Mart for Intensive Care IV database were included in this retrospective cohort study. Thiamine administration is determined by the patient's usage during their stay in the ICU. The primary outcome was in-hospital mortality. Univariable and multivariable Cox regression analysis were used to investigate the relationship between thiamine administration and in-hospital mortality of patients with TBI. Subgroup analysis was also performed to determine if this association differed for subgroups classified using different variables including age (<65 years and ≥65 years), gender (male and female), and the severity of TBI (mild, moderate, and severe). The median follow-up time was 6.77 (3.98, 12.94) days, and the in-hospital mortality rate for the population was approximately 14.1%. In the univariable Cox regression analysis, thiamine administration was significantly associated with the reduced risk of in-hospital mortality in TBI patients admitted to the ICU. performing the multivariable Cox regression analysis, the observed association of thiamine administration and in-hospital mortality remained significant, with the hazard ratios (HR) of 0.66 [95% confidence interval (CI) = 0.45-0.98]. In the subgroup analysis, the results demonstrated that thiamine administration resulted in a decreased risk of in-hospital mortality among TBI patients who aged 65 years or older (HR = 0.36, 95% CI: 0.19-0.69), as well as male individuals (HR = 0.36, 95% CI: 0.17-0.80) and those with severe TBI (HR = 0.16, 95% CI: 0.04-0.57). Thiamine administration may reduce in-hospital mortality for patients with TBI admitted to the ICU.