Clinical Features and Outcomes of Hospitalized Adult Patients With Breakthrough COVID-19 Infections: A Propensity-Score-Matched Observational Study.

In this study, we aimed to evaluate the impact of vaccination on intensive care unit (ICU) admission and in-hospital mortality among breakthrough coronavirus disease 2019 (COVID-19) infections. A total of 3,351 adult patients hospitalized with COVID-19 in the Memorial Healthcare System (Hollywood, Florida) between June 1 and September 20, 2021, were included; 284 (8.5%) were fully vaccinated. A propensity-score-matched analysis was conducted to compare fully vaccinated patients with unvaccinated controls. Propensity scores were calculated on the basis of variables associated with vaccination status. A 1:1 matching ratio was applied using logistic regression models, ensuring balanced characteristics between the two groups. The matched samples were then subjected to multivariate analysis. Among breakthrough infections, vaccinated patients demonstrated lower incidences of ICU admission (10.3% vs. 16.4%; P = 0.042) and death (12.2% vs. 18.7%; P = 0.041) than the matched controls. Risk-adjusted multivariate analysis demonstrated a significant inverse association between vaccination and ICU admission (odds ratio = 0.52, 95% confidence interval: 0.31, 0.89; P = 0.019) as well as in-hospital mortality (odds ratio = 0.57, 95% confidence interval: 0.34, 0.94; P = 0.027). Vaccinated individuals experiencing breakthrough infections had significantly lower risks of ICU admission and in-hospital mortality. These findings highlight the benefits of COVID-19 vaccines in reducing severe outcomes among patients with breakthrough infections.

Chronic obstructive pulmonary disease affects outcome in surgical patients with perioperative organ injury: a retrospective cohort study in Germany.

BACKGROUND: The impact of chronic obstructive pulmonary disease (COPD) on outcome in perioperative organ injury (POI) has not yet been investigated sufficiently. METHODS: This retrospective cohort study analysed data of surgical patients with POI, namely delirium, stroke, acute myocardial infarction, acute respiratory distress syndrome, acute liver injury (ALI), or acute kidney injury (AKI), in Germany between 2015 and 2019. We compared in-hospital mortality, hospital length of stay (HLOS) and perioperative ventilation time (VT) in patients with and without COPD. RESULTS: We analysed the data of 1,642,377 surgical cases with POI of which 10.8% suffered from COPD. In-hospital mortality was higher (20.6% vs. 15.8%, p < 0.001) and HLOS (21 days (IQR, 12-34) vs. 16 days (IQR, 10-28), p < 0.001) and VT (199 h (IQR, 43-547) vs. 125 h (IQR, 32-379), p < 0.001) were longer in COPD patients. Within the POI examined, AKI was the most common POI (57.8%), whereas ALI was associated with the highest mortality (54.2%). Regression analysis revealed that COPD was associated with a slightly higher risk of in-hospital mortality (OR, 1.19; 95% CI:1.18-1.21) in patients with any POI. CONCLUSIONS: COPD in patients with POI is associated with higher mortality, longer HLOS and longer VT. Especially patients suffering from ALI are susceptible to the detrimental effects of COPD on adverse outcome.

Intubation and In-Hospital Mortality After Trauma With Glasgow Coma Scale Score Eight or Less-A Cohort Study.

INTRODUCTION: Most trauma societies recommend intubating trauma patients with Glasgow Coma Scale (GCS) scores ≤8 without robust supporting evidence. We examined the association between intubation and 30-d in-hospital mortality in trauma patients arriving with a GCS score ≤8 in an Indian trauma registry. METHODS: Outcomes of patients with a GCS score ≤8 who were intubated within 1 h of arrival (intubation group) were compared with those who were intubated later or not at all (nonintubation group) using various analytical approaches. The association was assessed in various subgroup and sensitivity analyses to identify any variability of the effect. RESULTS: Of 3476 patients who arrived with a GCS score ≤8, 1671 (48.1%) were intubated within 1 h. Overall, 1957 (56.3%) patients died, 947 (56.7%) in the intubation group and 1010 (56.0%) in the nonintubation group, with no significant difference in mortality (odds ratio = 1.2 [confidence interval, 0.8-1.8], P value = 0.467) in multivariable regression and propensity score-matched analysis. This result persisted across subgroup and sensitivity analyses. Patients intubated within an hour of arrival had longer durations of ventilation, intensive care unit stay, and hospital stay (P < 0.001). CONCLUSIONS: Intubation within an hour of arrival with a GCS score ≤8 after major trauma was not associated with differences in-hospital mortality. The indications and benefits of early intubation in these severely injured patients should be revisited to promote optimal resource utilization in LMICs.

Malignant tumor increases the risk of all causes in-hospital mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database.

BACKGROUND: Ischemic stroke (IS) and malignant tumor (MT) have high morbidity and mortality rates worldwide, and several associations exist between them. This study aimed to determine the effect of MT on hospital mortality in patients with IS. METHODS: Based on their MT status, participants with IS in the Medical Information Mart for Intensive Care IV (MIMIC-IV) were divided into two groups. The primary outcome was in-hospital all causes mortality. Kaplan-Meier survival analysis was performed to evaluate the intergroup in-hospital mortality, and three Cox regression models were used to determine the association between MT and in-hospital mortality. RESULTS: A total of 1605 participants (749 males and 856 females) were included in the study. The mean age was 72.030 ± 15.463 years. Of these, 257 (16%) patients died in the hospital. Kaplan-Meier analysis showed that the MT group had a significantly lower possibility of in-hospital survival than the non-MT group. In the unadjusted model, in-hospital mortality among MT patients had a higher odds ratio (OR) of 1.905 (95% CI, 1.320-2.748; P < 0.001) than the non-MT group. After adjusting for basic information, vital signs, and laboratory data, MT was also associated with increased in-hospital mortality (OR = 1.844, 95% CI: 1.255-2.708; P = 0.002). CONCLUSIONS: Among the patients with IS, the risk of all causes in-hospital mortality was higher for MT than for patients non-MT. This finding can assist clinicians in more accurately assessing prognosis and making informed treatment decisions.

Sex Differences in Cardiovascular Disease-Related Hospitalization and Mortality in Japan　- Analysis of Health Records From a Nationwide Claim-Based Database, the Japanese Registry of All Cardiac and Vascular Disease (JROAD).

BACKGROUND: The prevalence of cardiovascular disease (CVD) is rising in Japan with its aging population, but there is a lack of epidemiological data on sex differences in CVD, including acute coronary syndrome (ACS), acute heart failure (AHF), and acute aortic disease.Methods and Results: This retrospective study analyzed data from 1,349,017 patients (January 2012-December 2020) using the Japanese Registry Of All Cardiac and Vascular Diseases database. ACS patients were youngest on average (70.5±12.9 years) and had the lowest female proportion (28.9%). AHF patients had the oldest mean age (79.7±12.0 years) and the highest proportion of females (48.0%). Acute aortic disease had the highest in-hospital mortality (26.1%), followed by AHF (11.5%) and ACS (8.9%). Sex-based mortality differences were notable in acute aortic disease, with higher male mortality in Stanford Type A acute aortic dissection (AAD) with surgery (males: 14.2% vs. females: 10.4%, P<0.001) and similar rates in Type B AAD (males: 6.2% vs. females: 7.9%, P=0.52). Aging was a universal risk factor for in-hospital mortality. Female sex was a risk factor for ACS and acute aortic disease but not for AHF or Types A and B AAD. CONCLUSIONS: Sex-based disparities in the CVD-related hospitalization and mortality within the Japanese national population have been highlighted for the first time, indicating the importance of sex-specific strategies in the management and understanding of these conditions.

In-Hospital Mortality in Patients With Cardiogenic Shock Requiring Veno-Arterial Extracorporeal Membrane Oxygenation With Concomitant Use of Impella vs. Intra-Aortic Balloon Pump　- A Retrospective Cohort Study Using a Japanese Claims-Based Database.

BACKGROUND: Patients with refractory cardiogenic shock (CS) necessitating peripheral veno-arterial extracorporeal membrane oxygenation (VA-ECMO) often require an intra-aortic balloon pump (IABP) or Impella for unloading; however, comparative effectiveness data are currently lacking.Methods and Results: Using Diagnosis Procedure Combination data from approximately 1,200 Japanese acute care hospitals (April 2018-March 2022), we identified 940 patients aged ≥18 years with CS necessitating peripheral VA-ECMO along with IABP (ECMO-IABP; n=801) or Impella (ECPella; n=139) within 48 h of admission. Propensity score matching (126 pairs) indicated comparable in-hospital mortality between the ECPella and ECMO-IABP groups (50.8% vs. 50.0%, respectively; P=1.000). However, the ECPella cohort was on mechanical ventilator support for longer (median [interquartile range] 11.5 [5.0-20.8] vs. 9.0 [4.0-16.8] days; P=0.008) and had a longer hospital stay (median [interquartile range] 32.5 [12.0-59.0] vs. 23.0 [6.3-43.0] days; P=0.017) than the ECMO-IABP cohort. In addition, medical costs were higher for the ECPella than ECMO-IABP group (median [interquartile range] 9.09 [7.20-12.20] vs. 5.23 [3.41-7.00] million Japanese yen; P<0.001). CONCLUSIONS: Our nationwide study could not demonstrate compelling evidence to support the superior efficacy of Impella over IABP in reducing in-hospital mortality among patients with CS necessitating VA-ECMO. Further investigations are imperative to determine the clinical situations in which the potential effect of Impella can be maximized.

Dexamethasone versus methylprednisolone for multiple organ dysfunction in COVID-19 critically ill patients: a multicenter propensity score matching study.

BACKGROUND: Dexamethasone usually recommended for patients with severe coronavirus disease 2019 (COVID-19) to reduce short-term mortality. However, it is uncertain if another corticosteroid, such as methylprednisolone, may be utilized to obtain better clinical outcome. This study assessed dexamethasone's clinical and safety outcomes compared to methylprednisolone. METHODS: A multicenter, retrospective cohort study was conducted between March 01, 2020, and July 31, 2021. It included adult COVID-19 patients who were initiated on either dexamethasone or methylprednisolone therapy within 24 h of intensive care unit (ICU) admission. The primary outcome was the progression of multiple organ dysfunction score (MODS) on day three of ICU admission. Propensity score (PS) matching was used (1:3 ratio) based on the patient's age and MODS within 24 h of ICU admission. RESULTS: After Propensity Score (PS) matching, 264 patients were included; 198 received dexamethasone, while 66 patients received methylprednisolone within 24 h of ICU admission. In regression analysis, patients who received methylprednisolone had a higher MODS on day three of ICU admission than those who received dexamethasone (beta coefficient: 0.17 (95% CI 0.02, 0.32), P = 0.03). Moreover, hospital-acquired infection was higher in the methylprednisolone group (OR 2.17, 95% CI 1.01, 4.66; p = 0.04). On the other hand, the 30-day and the in-hospital mortality were not statistically significant different between the two groups. CONCLUSION: Dexamethasone showed a lower MODS on day three of ICU admission compared to methylprednisolone, with no statistically significant difference in mortality.

Normalized lactate load as an independent prognostic indicator in patients with cardiogenic shock.

BACKGROUND: Early prognosis evaluation is crucial for decision-making in cardiogenic shock (CS) patients. Dynamic lactate assessment, for example, normalized lactate load, has been a better prognosis predictor than single lactate value in septic shock. Our objective was to investigate the correlation between normalized lactate load and in-hospital mortality in patients with CS. METHODS: Data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The calculation of lactate load involved the determination of the cumulative area under the lactate curve, while normalized lactate load was computed by dividing the lactate load by the corresponding period. Receiver Operating Characteristic (ROC) curves were constructed, and the evaluation of areas under the curves (AUC) for various parameters was performed using the DeLong test. RESULTS: Our study involved a cohort of 1932 CS patients, with 687 individuals (36.1%) experiencing mortality during their hospitalization. The AUC for normalized lactate load demonstrated significant superiority compared to the first lactate (0.675 vs. 0.646, P < 0.001), maximum lactate (0.675 vs. 0.651, P < 0.001), and mean lactate (0.675 vs. 0.669, P = 0.003). Notably, the AUC for normalized lactate load showed comparability to that of the Sequential Organ Failure Assessment (SOFA) score (0.675 vs. 0.695, P = 0.175). CONCLUSION: The normalized lactate load was an independently associated with the in-hospital mortality among CS patients.

Shock index creatinine: a new predictor of mortality in acute coronary syndrome patients.

BACKGROUND: The Shock Index Creatinine (SIC) scoring is a recently developed tool for risk stratification patients. These updated scoring was already used in ST-Elevation Myocardial Infarction (STEMI) patients. However its utility in predicting outcomes for patients with Acute Coronary Syndrome (ACS) remains unclear. This study aims to evaluate and update the current SIC score to predict in-hospital mortality among patients with ACS. PATIENTS AND METHODS: A retrospective cohort, Single-centered study enrolled 1349 ACS patients aged ≥ 18 years old diagnosed with ACS was conducted between January 2018 to January 2022 who met for inclusion and exclusion criteria. Study subjects were analyzed for in-hospital mortality and evaluated using binary linear regression analysis. The area under the curve (AUC) of SIC score was obtain to predict the sensitivity and specificity. RESULTS: Multivariate analysis showed that SIC score was significantly associated with in-hospital mortality. High SIC score (SIC ≥ 25) had significantly higher in-hospital mortality (p < 0.001) with odds ratio for (95% CIs) were 2.655 (1.6-4.31). Receiver operating characteristics (ROC) curve analysis determine the predictive power of SIC score for in-hospital mortality. SIC had an acceptable predictive value for in-hospital mortality (AUC = 0.789, 95% CI: 0.748-0.831, p < 0.001). The SIC score for sensitivity and specificity were, respectively, 71.5% and 74.4%, with optimal cutoff of SIC ≥ 25. CONCLUSION: SIC had acceptable predictive value for in-hospital mortality in patients with all ACS spectrums. SIC was a useful parameter for predicting in-hospital mortality, particularly with a score ≥ 25. This is the first study to evaluate SIC in all spectrums of ACS.

Inpatient treatment of acute diverticulitis between 2010 and 2021 - A German nationwide study about long-term trends and effects of the SARS-CoV-2 pandemic.

AIM: The aims of this study were to analyse all hospitalizations for acute diverticulitis in Germany from 2010 to 2021 and to assess the effects of the first 2 years of the SARS-CoV-2 pandemic on hospitalizations for acute diverticulitis. METHOD: Using data from the German Federal Statistical Office, we analysed fully anonymized healthcare data of hospitalizations and treatment regimens with acute diverticulitis as the main diagnosis between 2010 and 2021. Logistic regression analyses for in-hospital mortality were performed. RESULTS: A total of 608,162 hospitalizations were included. While the number of hospitalizations constantly increased until 2019 (+52.4%), a relative decrease of 10.1% was observed between 2019 and 2020, followed by stable numbers of hospitalizations in 2021 (+1.1% compared with 2020). In-hospital mortality showed a relative decrease of 33.2% until 2019 and thereafter a relative increase of 26.9% in 2020 and of 7.5% in 2021. A 21.6% and a 19.3% drop in hospitalizations was observed during the first and second waves of the SARS-CoV-2 pandemic, mostly affecting hospitalizations for uncomplicated diverticulitis, with a corresponding 11.6% and 16.8% increase in admissions for complicated diverticulitis. Multivariable logistic regression analyses showed significantly higher in-hospital mortality for hospitalizations in which surgery (OR = 2.76) and CT (OR = 1.32) were given, as well as lower mortality for women (OR = 0.88), whereas percutaneous drainage was not associated with higher in-hospital mortality compared with conservative treatment (OR = 0.71). CONCLUSION: This study points out the long-term trends in inpatient treatment for acute diverticulitis and the in-hospital mortality risk factors of patients hospitalized for acute diverticulitis in a large nationwide cohort, as well as changes in these trends and factors resulting from the SARS-CoV-2 pandemic. These changes might be attributable to delayed diagnosis and thus more severe stages of disease as a result of containment measures.

Association Between In-hospital Mortality and the Institutional Factors of Intensive Care Units with a Focus on the Intensivist- to-bed Ratio: A Retrospective Cohort Study.

Purpose: To elucidate the relationship between in-hospital mortality and the institutional factors of intensive care units (ICUs), with a focus on the intensivist-to-bed ratio. Methods: A retrospective cohort study was conducted using a Japanese ICU database, including adult patients admitted between April 1, 2020 and March 31, 2021. We used a multilevel logistic regression model to investigate the associations between in-hospital mortality and the following institutional factors: the intensivist-to-bed ratios on weekdays or over weekends/holidays, different work shifts, hospital-to-ICU-bed ratio, annual-ICU-admission-to-bed ratio, type of hospital, and the presence of other medical staff. Results: The study population comprised 46 503 patients admitted to 65 ICUs. The in-hospital mortality rate was 8.1%. The median numbers of ICU beds and intensivists were 12 (interquartile range [IQR] 8-14) and 4 (IQR 2-9), respectively. In-hospital mortality decreased significantly as the intensivist-to-bed ratio at 10 am on weekdays increased: the average contrast indicated a 20% (95% confidence interval [CI]: 1%-38%) reduction when the ratio increased from 0 to 0.5, and a 38% (95% CI: 9%-67%) reduction when the ratio increased from 0 to 1. The other institutional factors did not present a significant effect. Conclusions: The intensivist-to-bed ratio at 10 am on weekdays had a significant effect on in-hospital mortality. Further investigation is needed to understand the processes leading to improved outcomes.

Hidden Dangers of Frailty: Higher Mortality, Complications and Costs in Acute Pancreatitis.

BACKGROUND: Frailty is a clinically recognizable state of increased vulnerability due to age-related decline in reserve and function across multiple physiologic systems that compromises the ability to cope with acute stress. As frailty is being identified as an important risk factor in outcomes of gastrointestinal pathologies, we aimed to assess outcomes in patients with acute pancreatitis within this cohort. METHOD: We conducted a retrospective study using the Nationwide Inpatient Sample (NIS) database. ICD-10 codes were used to inquire for patients admitted with acute pancreatitis between September 2015 through 2017. ICD-10 codes corresponding to the Hospital Frailty Risk Score (HFRS) were used to divide the study sample into 2 cohorts: low risk (< 5 points) and intermediate or high risk (> 5 points). To calculate the points, we fitted a logistic regression model that included membership of the frail group as the binary dependent variable (frail vs. non-frail) and the set of ICD-10 codes as binary predictor variables (1 = present, 0 = absent for each code). To simplify the calculation and interpretation, we multiplied regression coefficients by five to create a points system, so that a certain number of points are awarded for each ICD-10 code and added together to create the final frailty risk score. Multivariate regression analysis was performed to find adjusted mortality. RESULTS: Out of a total of 1,267,744 patients admitted with acute pancreatitis, 728,953 (57.5%) were identified as intermediate and high risk (> 5 points) (study cohort) and 538,781 (42.5%) as low risk (< 5 points). The mean age in the study cohort was 64.8 ± 12.6 and that in the low-risk group was 58.6 ± 9.5. Most of the patients in both groups were males and Caucasians; Medicare was the predominant insurance provider. A majority of the admissions in both groups were in an urban teaching hospital and were emergency. (Table 1). The primary outcome was in-hospital mortality which was significantly higher in the study cohort as compared to the low-risk group (4.3% vs. 2.5%, p < 0.0001). The age-adjusted Odds ratio of mortality was 1.72(95% CI (Confidence Interval) 1.65-1.80, p < 0.05). When compared between the two groups; median length of stay (6 vs. 4); hospitalization cost ($14,412 vs. $10,193), disposition to a skilled nursing facility (SNF) (17.1% vs. 8.6%) and need for home health care (HHC) was significantly higher in the study cohort. Complications like septicemia, septic shock, and acute kidney injury were also higher in the study group (Table 2). Table 1 Baseline demographics of the cohort Characteristics Acute pancreatitis with High HES Frailty score (> 5, intermediate + high) Acute pancreatitis with low HES Frailty score (< 5) P-value N = 1,267,744 N = 728,953 (57.5%) N = 538,781 (42.5%) Age  Mean years (Mean ± SD) 64.8 ± 12.6 58.6 ± 9.5 < 0.001 Gender < 0.001  Male 59.1% 52.3%  Female 40.9% 47.7% *Missing-475 Age groups < 0.001  18-44 3.7% 14.3%  45-64 48% 52.9%  65-84 32.2% 28.7%  ≥ 85 16.1% 4.1% Race < 0.001  Caucasians 67.4% 61.9%  African Americans 9.6% 16.8%  Others 23% 21.3% *Missing-10 Insurance type < 0.001  Medicare 40.9% 36.3%  Medicaid 17.2% 24.3%  Private 31.8% 27.9%  Other 9.9% 11.4% *Missing-75 Active smoking 32.7% 37.9% 0.005 Biliary Stone 36.2% 16.7% < 0.001 Admission Type < 0.001  Emergent 93.7% 94.3%  Elective 6.3% 5.7% *Missing-2880 Hospital ownership/control < 0.001  Rural 7.8% 10%  Urban nonteaching 26.3% 26.6%  Urban teaching 65.9% 63.4% Table 2 Outcomes Outcomes Acute pancreatitis with High HES Frailty score (> 5, intermediate + high) Acute pancreatitis with low HES Frailty score (< 5) P-value In-hospital mortality *Missing-920 4.3% 2.5% < .0001 1.72(1.65-1.80) < .0001 Length of stay, days (Median,IQR) 6(3-8) 4(2-6) < .0001 Total hospitalization cost, $ (Median,IQR) 14,412(8843-20,216) 10,193(6840-13,842) < .0001 In-Hospital Complications  ARDS 0.4% 0.3% 0.08  Ventilator dependence respiratory failure 0.23% 0.29% 0.25  Septicemia 15.2% 9.6% < .0001  Septic Shock 6.1% 2.9% < .0001  AKI 24.8% 14.9% < .0001 Disposition < .0001  Discharge to home 58.9% 74.9%  Transfer other: includes  Skilled Nursing Facility (SNF), Intermediate Care Facility (ICF), and another type of facility 17.1% 8.6%  Home health care 11.5% 8.1%  Against medical advice (AMA) 1.6% 3.4% *Missing-920 CONCLUSION: Using frailty as a construct to identify those who are at greater risk for adverse outcomes, can help formulate interventions to target individualized reversible factors to improve outcomes in patients with acute pancreatitis. Future large-scale prospective studies are warranted to understand the dynamic and longitudinal relationship between pancreatitis and frailty.

Comparison of scoring systems for predicting clinical outcomes of acute lower gastrointestinal bleeding: A prospective cohort study.

BACKGROUND: This study aimed to determine the performance of the Oakland, Glasgow-Blatchford, and AIMS65 scores in predicting the clinical outcomes of acute lower gastrointestinal bleeding (LGIB). METHODS: This prospective cohort study was conducted from July 2020 to July 2021. Patients admitted with acute lower gastrointestinal bleeding were enrolled. The Oakland, Glasgow-Blatchford, and AIMS65 scores were calculated. The primary outcome was validating the performance of the scores in predicting severe LGIB; secondary outcomes were comparing the performance of the scores in predicting the need for blood transfusion, hemostatic interventions, in-hospital rebleeding, and mortality. Receiver operating characteristic curves were calculated for all outcomes. The associations between all three scores and the primary outcomes were calculated using multivariate logistic regression analysis. RESULTS: Patients with acute LGIB (n = 150) were enrolled (88 [58.7%] men and mean age: 63.6 ± 17.3 years). The rates of severe LGIB, need for blood transfusion, hemostatic intervention, in-hospital rebleeding, and in-hospital mortality were 54.7%, 79.3%, 10.7%, and 3.3%, respectively. The Oakland and Glasgow-Blatchford scores had comparable performance in predicting severe LGIB, need for blood transfusion, and mortality, outperforming the AIMS65 score. All scores were suboptimal for predicting hemostatic interventions and rebleeding. CONCLUSIONS: Our results demonstrate the predictive performances of the Oakland score and the GBS are excellent and comparable for severe LGIB, the need for blood transfusion, and in-hospital mortality in patients with acute LGIB. Thus, GBS could be considered as an alternative predictive score for stratification of the patients with acute LGIB.

Effects of intensive care unit quality assessment on changes in medical staff in medical institutions and in-hospital mortality.

BACKGROUND: Quality assessments are being introduced in many countries to improve the quality of care and maintain acceptable quality levels. In South Korea, various quality assessments are being conducted to improve the quality of care, but there is insufficient evidence on intensive care units (ICUs). This study aims to evaluate the impact of ICU quality assessments on the structural indicators in medical institutions and the resulting in-hospital mortality of patients. METHODS: This study used data collected in the 2nd and 3rd ICU quality assessments in 2017 and 2019. A total of 72,879 patients admitted to ICUs were included during this period, with 265 institutions that received both assessments. As for structural indicators, changes in medical personnel and equipment were assessed, and in-hospital deaths were evaluated as patient outcomes. To evaluate the association between medical staff and in-hospital mortality, a generalized estimating equation model was performed considering both hospital and patient variables. RESULTS: Compared to the second quality evaluation, the number of intensivist physicians and experienced nurses increased in the third quality evaluation; however, there was still a gap in the workforce depending on the type of medical institution. Among all ICU patients admitted during the evaluation period, 12.0% of patients died in the hospital. In-hospital mortality decreased at the 3rd assessment, and hospitals employing intensivist physicians were associated with reduced in-hospital deaths. In addition, an increase in the number of experienced nurses was associated with a decrease in in-hospital mortality, while an increase in the nurse-to-bed ratio increased mortality. CONCLUSIONS: ICU quality assessments improved overall structural indicators, but the gap between medical institutions has not improved and interventions are required to bridge this gap. In addition, it is important to maintain skilled medical personnel to bring about better results for patients, and various efforts should be considered. This requires continuous monitoring and further research on long-term effects.

Dose-Response Relationship between C-Reactive Protein/Albumin Ratio and In-Hospital Mortality in Elderly Patients with Acute Ischemic Stroke.

INTRODUCTION: The C-reactive protein/albumin ratio is a reliable indicator of outcome risk in several diseases. This study aims to evaluate prognostic power of the C-reactive protein/albumin ratio for in-hospital mortality and the dose-response relationship between the two in the oldest-old patients with acute ischemic stroke. METHODS: A longitudinal observational study was conducted on patients with acute ischemic stroke (aged ≥80 years) from two tertiary hospitals between January 1, 2014, and January 31, 2020. Based on the tertiles of the C-reactive protein/albumin ratio, the patients were divided into three groups. Restrictive cubic spline and robust locally weighted regression analysis were performed on continuous variables to examine the dose-response relationship between the C-reactive protein/albumin ratio and in-hospital mortality risk. All-cause mortality during hospitalization was the outcome for this study. RESULTS: The study included 584 patients (mean age = 84.6 ± 3.1 years; 59.6% men). The C-reactive protein/albumin ratio was divided into three groups, namely, T1 of <0.73, T2 of 0.73-2.03, and T3: >2.03. After adjusting for demographic and clinical characteristics, a higher C-reactive protein/albumin ratio was independently associated with in-hospital mortality. The hazard ratio for this association was 2.01 (95% confidence interval: 1.12-3.60, p = 0.019). A dose-response relationship between the C-reactive protein/albumin ratio and in-hospital mortality risk was observed. Sensitivity analysis found no attenuation in the hazard ratio in uninfected individuals, whereas no difference in the hazard ratio was noted in individuals with infections. CONCLUSIONS: When predicting in-hospital mortality in the oldest-old patients with ischemic stroke, the C-reactive protein/albumin ratio might be a helpful and convenient metric.

Sex Difference in Characteristics and Predictors of In-Hospital Mortality among Patients with COVID-19.

INTRODUCTION: With a surge in the prevalence of coronavirus disease-2019 (COVID-19) in Beijing starting in October 2022, hospitalisation rates increased markedly. This study aimed to evaluate factors associated with in-hospital mortality in patients with COVID-19. METHODS: Using data from hospitalised patients, sex-based differences in clinical characteristics, in-hospital management, and in-hospital mortality among patients diagnosed with COVID-19 were evaluated. Predictive factors associated with mortality in 1,091 patients admitted to the Beijing Anzhen Hospital (Beijing, China) for COVID-19 between October 2022 and January 2023 were also evaluated. RESULTS: Data from 1,091 patients hospitalised with COVID-19 were included in the analysis. In-hospital mortality rates for male and female patients were 14.9% and 10.4%, respectively. Multifactorial logistic analysis indicated that lymphocyte percentage (LYM%) (odds ratio [OR] 0.863, 95% confidence interval [CI] 0.805-0.925; p < 0.001), uric acid (OR 1.004, 95% CI: 1.002-1.006; p = 0.001), and high-sensitivity C-reactive protein (OR 1.094, 95% CI: 1.012-1.183; p = 0.024) levels were independently associated with COVID-19-related in-hospital mortality. Among female patients, multifactorial analysis revealed that LYM% (OR 0.856, 95% CI: 0.796-0.920; p < 0.001), older age (OR 1.061, 95% CI: 1.020-1.103; p = 0.003), obesity (OR 2.590, 95% CI: 1.131-5.931; p = 0.024), and a high high-sensitivity troponin I level (OR 2.602, 95% CI: 1.157-5.853; p = 0.021) were risk factors for in-hospital mortality. Receiver operating characteristic (ROC) curve analysis, including area under the ROC curve, showed that the efficacy of LYM% in predicting in-hospital death was 0.800 (sensitivity, 63.2%; specificity, 83.2%) in male patients and 0.815 (sensitivity, 87.5%; specificity, 64.4%) in female patients. CONCLUSION: LYM% is a consistent predictor of in-hospital mortality for both sexes. Older age and markers of systemic inflammation, myocardial injury, and metabolic dysregulation are also associated with a high mortality risk. These findings may help identify patients who require closer monitoring and tailored interventions to improve outcomes.

Prognostic significance of nadir platelet count in patients with heatstroke: A multi-center retrospective study.

BACKGROUND: Heatstroke (HS), associated with the early activation of the coagulation system and frequently presenting with thrombocytopenia, poses a significant healthcare challenge. Understanding the relationship of nadir platelet count (PLT) within 24 h for adverse outcomes in HS patients is crucial for optimizing management strategies. METHODS: This retrospective cohort study, conducted in six tertiary care hospitals, involved patients diagnosed with HS and admitted to the emergency departments. The primary and secondary outcomes included in-hospital mortality and various acute complications, respectively, with logistic regression models utilized for assessing associations between nadir PLT and outcomes. The PLT count change curve was described using a generalized additive mixed model (GAMM), with additional analyses involving body temperature (BT) at 2 h also conducted. RESULTS: Of the 152 patients included, 19 (12.5%) died in-hospital. The median nadir PLT within 24 h was 99.5 (58.8-145.0)*10^9/L. Notably, as a continuous variable (10*10^9/L), nadir PLT was significantly associated with in-hospital mortality (OR 0.76; 95% CI 0.64-0.91; P = 0.003) and other adverse outcomes like acute kidney and liver injury, even after adjustment for confounders. GAMM revealed a more rapid and significant PLT decline in the non-survival group over 24 h, with differential PLT dynamics also observed based on BT at 2 h. CONCLUSIONS: Nadir PLT within 24 h were tied to in-hospital mortality and various adverse outcomes in HS patients. Early effective cooling measures demonstrated a positive impact on these associations, underscoring their importance in patient management.

Characteristics, treatments, in-hospital and long-term outcomes among inpatients with acute exacerbation of chronic obstructive pulmonary disease in China: sex differences in a large cohort study.

BACKGROUND: Data related to the characteristics, treatments and clinical outcomes of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients in China are limited, and sex differences are still a neglected topic. METHODS: The patients hospitalized for AECOPD were prospectively enrolled from ten medical centers in China between September 2017 and July 2021. Patients from some centers received follow-up for 3 years. Data regarding the characteristics, treatments and in-hospital and long-term clinical outcomes from male and female AECOPD patients included in the cohort were analyzed and compared. RESULTS: In total, 14,007 patients with AECOPD were included in the study, and 11,020 (78.7%) were males. Compared with males, female patients were older (74.02 ± 10.79 vs. 71.86 ± 10.23 years, P < 0.001), and had more comorbidities (2.22 ± 1.64 vs. 1.73 ± 1.56, P < 0.001), a higher frequency of altered mental status (5.0% vs. 2.9%, P < 0.001), lower diastolic blood pressure (78.04 ± 12.96 vs. 79.04 ± 12.47 mmHg, P < 0.001). In addition, there were also significant sex differences in a range of laboratory and radiographic findings. Females were more likely to receive antibiotics, high levels of respiratory support and ICU admission than males. The in-hospital and 3-year mortality were not significantly different between males and females (1.4% vs. 1.5%, P = 0.711; 35.3% vs. 31.4%, P = 0.058), while female smokers with AECOPD had higher in-hospital mortality than male smokers (3.3% vs. 1.2%, P = 0.002) and male smokers exhibited a trend toward higher 3-year mortality compared to female smokers (40.7% vs. 33.1%, P = 0.146). CONCLUSIONS: In AECOPD inpatients, females and males had similar in-hospital and long-term survival despite some sex differences in clinical characteristics and treatments, but female smokers had significantly worse in-hospital outcomes than male smokers. CLINICAL TRIAL REGISTRATION: Retrospectively registered, registration number is ChiCTR2100044625, date of registration 21/03/2021. URL: http://www.chictr.org.cn/showproj.aspx?proj=121626 .

Clinical profile analysis and nomogram for predicting in-hospital mortality among elderly severe community-acquired pneumonia patients: a retrospective cohort study.

BACKGROUND: Severe community-acquired pneumonia is one of the most lethal forms of CAP with high mortality. For rapid and accurate decisions, we developed a mortality prediction model specifically tailored for elderly SCAP patients. METHODS: The retrospective study included 2365 elderly patients. To construct and validate the nomogram, we randomly divided the patients into training and testing cohorts in a 70% versus 30% ratio. The primary outcome was in-hospital mortality. Univariate and multivariate logistic regression analyses were used in the training cohort to identify independent risk factors. The robustness of this model was assessed using the C index, ROC and AUC. DCA was employed to evaluate the predictive accuracy of the model. RESULTS: Six factors were used as independent risk factors for in-hospital mortality to construct the prediction model, including age, the use of vasopressor, chronic renal disease, neutrophil, platelet, and BUN. The C index was 0.743 (95% CI 0.719-0.768) in the training cohort and 0.731 (95% CI 0.694-0.768) in the testing cohort. The ROC curves and AUC for the training cohort and testing cohort (AUC = 0.742 vs. 0.728) indicated a robust discrimination. And the calibration plots showed a consistency between the prediction model probabilities and observed probabilities. Then, the DCA demonstrated great clinical practicality. CONCLUSIONS: The nomogram incorporated six risk factors, including age, the use of vasopressor, chronic renal disease, neutrophil, platelet and BUN, which had great predictive accuracy and robustness, while also demonstrating clinical practicality at ICU admission.

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.

BACKGROUND: Acute 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. METHODS: This 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. RESULTS: In 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). CONCLUSIONS: Results 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.