Admission Mortality Research Articles

Abstract TP120: Racial Disparities and Predictors of All-Cause Mortality in Postmenopausal Women Hospitalized for Stroke: A Nationwide Analysis, 2019

Background: Racial disparities in stroke prevalence and outcomes have been well documented in previous studies, but there is not sufficient data based on post-menopausal women. In this study, we aim to analyze stroke hospitalization rates and subsequent mortality rates by race among females aged 55 years and older. We also sought to identify independent predictors of mortality based on race. Methods: We queried the 2019 National Inpatient Sample to identify stroke hospitalizations in women aged >55 years by using ICD-10 CM codes. Demographics were analyzed after stratifying the population by race. Multivariable regression analysis was performed taking stroke admission rates and mortality by race as a primary outcome of interest and the co-primary outcome was independent predictors of mortality by race. Results: A total of 140,805 patients with a median age of 76 [67-85] were included in the study of which 66.9% were white, 16.5% black, 7.5% Hispanic, 3.6% Asian/Pacific Islander 0.6% Native Americans, and 2.5% in the other race category. Blacks (52.8%) and Native Americans (47.9%) were significantly present in the lowest national household income quartile compared to Asians/Pacific Islanders (26.1%). COPD (OR: 1.19 95%, p- 0.017), cancer (OR: 1.27 p - 0.030), and age at admission (OR: 1.02 p <0.001) were independent positive predictors for all-cause mortality in whites, while complicated hypertension (OR: 2.64 p - 0.039), and age at admission (OR: 1.04 p - 0.004) were the independent positive predictors for the Asian population. Conclusion: Among post-menopausal women hospitalized with stroke, all-cause mortality was the highest in Asians, followed by whites and Hispanics. Interventions and targeted strategies can be developed to address these disparities, further studies should be conducted to investigate the causes and etiologies of these disparities.

Effect of body mass index on survival after spinal cord injury.

Increased mortality after acute and chronic spinal cord injury (SCI) remains a challenge and mandates a better understanding of the factors contributing to survival in these patients. This study investigated whether body mass index (BMI) measured after acute traumatic SCI is associated with a change in mortality. A prospective longitudinal cohort study was conducted with 742 patients who were admitted to the Acute Spine Unit of the Vancouver General Hospital between 2004 and 2016 with a traumatic SCI. An investigation of the association between BMI on admission and long-term mortality was conducted using classification and regression tree (CART) and generalized additive models (spline curves) from acute care up to 7.7 years after SCI (chronic phase). Multivariable models were adjusted for (i) demographic factors (e.g., age, sex, and Charlson Comorbidity Index) and (ii) injury characteristics (e.g., neurological level and severity and Injury Severity Score). After the exclusion of incomplete datasets (n = 602), 643 patients were analyzed, of whom 102 (18.5%) died during a period up to 7.7 years after SCI. CART identified three distinct mortality risk groups: (i) BMI: > 30.5 kg/m2, (ii) 17.5-30.5 kg/m2, and (iii) < 17.5 kg/m2. Mortality was lowest in the high BMI group (BMI > 30.5 kg/m2), followed by the middle-weight group (17.5-30.5 kg/m2), and was highest in the underweight group (BMI < 17.5 kg/m2). High BMI had a mild protective effect against mortality after SCI (hazard ratio 0.28, 95% CI: 0.09-0.88, p = 0.029), concordant with a modest "obesity paradox". Moreover, being underweight at admission was a significant risk factor for mortality up to 7.7 years after SCI (hazard ratio 5.5, 95% CI: 2.34-13.17, p < 0.001). Mortality risk (1 month to 7.7 years after SCI) was associated with differences in BMI at admission. Further research is needed to better understand the underlying mechanisms. Given an established association of BMI with metabolic determinants, these results may suggest unknown neuro-metabolic pathways that are crucial for patient survival.

HOSPITAL READMISSION AND MORTALITY RATES IN PATIENTS WITH CONCURRENT DEPRESSION AND INFLAMMATORY BOWEL DISEASE: INSIGHTS FROM THE NATIONAL READMISSIONS DATABASE, 2016–2019

Abstract BACKGROUND Inflammatory Bowel Disease (IBD) is a proinflammatory condition that is known to be associated with depression. Research examining causality suggests that Crohn's disease (CD) or ulcerative colitis (UC) patients are vulnerable to triggering pre-existing mental health conditions and that conversely, a pre-existing disorder such as depression may have an effect on the disease process and course of IBD. There is a paucity of comprehensive studies examining the downstream effects of depression on patients with IBD such as readmission rates and mortality. The complexity of the interaction between depression and IBD remains a fertile ground for further investigations in terms of pathological reciprocity and downstream consequences. METHODS In this retrospective observational study, patients were queried from the National Readmissions Database from 2016 to 2019. ICD-10 codes were used to identify patients with Crohn’s disease, ulcerative colitis, and depression. Primary outcomes were mortality and readmission rates at 30 days and 90 days. Secondary outcomes were index admission mortality, hospital length of stay (LOS), and total hospitalization charges (TOTHC) at 30 and 90 days respectively. The top 10 readmission diagnoses in each subgroup were also identified. RESULTS For patients with CD and depression, the mean age at readmission was 51.6 years with a high readmission and mortality rate at 30 days (readmission rate 5.2%, p&amp;lt;0.01; mortality rate 2.8%, p&amp;lt;0.01) which increased significantly at 90 days (readmission rate 8.4%, p&amp;lt;0.01). Hospital LOS and TOTHC remained relatively the same compared to the index admission for both 30-day and 90-day readmissions (Table 1,2). A similar trend was seen for UC and depression as well: mean age at readmission was 51.4 years with a high readmission rate and mortality at 30 days (readmission rate 5.0%, p&amp;lt;0.01; mortality rate 2.6%, p&amp;lt;0.01) which increased significantly at 90 days (readmission rate 8.4%, p&amp;lt;0.01; mortality rate 2.9%, p&amp;lt;0.01). Sepsis, hypertensive heart disease accompanied by heart failure and/or chronic kidney disease, acute kidney injury, hypoxia, and acute depressive episodes were the top primary associated readmission etiologies at 30 days and 90 days when correlated with a diagnosis of UC or CD. (Table 1, 2). CONCLUSION Our investigation revealed that patients affected by both depression and either UC or Crohn’s disease exhibited elevated readmission rates and a notably amplified mortality risk at 30 days post-readmission, with a more substantial increase observed at the 90-day mark. These findings underscore the significance of healthcare providers routinely screening for depression, addressing the management of mental health, and acknowledging the considerable impact it has on patients with co-occurring chronic diseases like UC or CD as an integral facet of comprehensive care. Table 1 Table 2

Temporal Trends in Mortality of Critically Ill Patients with Sepsis in the United Kingdom, 1988-2019.

Rationale: Sepsis is a frequent cause of ICU admission and mortality. Objectives: To evaluate temporal trends in the presentation and outcomes of patients admitted to the ICU with sepsis and to assess the contribution of changing case mix to outcomes. Methods: We conducted a retrospective cohort study of patients admitted to 261 ICUs in the United Kingdom during 1988-1990 and 1996-2019 with nonsurgical sepsis. Measurements and Main Results: A total of 426,812 patients met study inclusion criteria. The patients had a median (interquartile range) age of 66 (53-75) years, and 55.6% were male. The most common sites of infection were respiratory (60.9%), genitourinary (11.5%), and gastrointestinal (10.3%). Compared with patients in 1988-1990, patients in 2017-2019 were older (median age, 66 vs. 63 yr), were less acutely ill (median Acute Physiology and Chronic Health Evaluation II acute physiology score, 14 vs. 20), and more often had genitourinary sepsis (13.4% vs. 2.0%). Hospital mortality decreased from 54.6% (95% confidence interval [CI], 51.0-58.1%) in 1988-1990 to 32.4% (95% CI, 32.1-32.7%) in 2017-2019, with an adjusted odds ratio of 0.64 (95% CI, 0.54-0.75). The adjusted absolute hospital mortality reduction from 1988-1990 to 2017-2019 was 8.8% (95% CI, 5.6-12.1). Thus, of the observed 22.2-percentage point reduction in hospital mortality, 13.4 percentage points (60% of total reduction) were explained by case mix changes, whereas 8.8 percentage points (40% of total reduction) were not explained by measured factors and may be a result of improvements in ICU management. Conclusions: Over a 30-year period, mortality for ICU admissions with sepsis decreased substantially. Although changes in case mix accounted for the majority of observed mortality reduction, there was an 8.8-percentage point reduction in mortality not explained by case mix.

Cardiovascular Complications in Patients with Heart Failure and COVID-19: CARDIO COVID 19-20 Registry.

Since early 2020, different studies have shown an increased prevalence of COVID-19 and poorer prognosis in older adults with cardiovascular comorbidities. This study aimed to assess the impact of heart failure (HF) on cardiovascular complications, intensive care unit (ICU) admissions, and in-hospital mortality in patients hospitalized with COVID-19. The CARDIO COVID 19-20 registry includes 3260 hospitalized patients with a COVID-19 serological diagnosis between May 2020 and June 2021 from Latin American countries. A history of HF was identified in 182 patients (5.6%). In patients with and without previous HF, the incidence of supraventricular arrhythmia was 16.5% vs. 6.3%, respectively (p = 0.001), and that of acute coronary syndrome was 7.1% vs. 2.7%, respectively (p = 0.001). Patients with a history of HF had higher rates of ICU admission (61.5% vs. 53.1%, respectively; p = 0.031) and in-hospital mortality (41.8% vs. 24.5%, respectively; p = 0.001) than patients without HF. Cardiovascular mortality at discharge (42.1% vs. 18.5%, respectively; p < 0.001) and at 30 days post-discharge (66.7% vs. 18.0%, respectively) was higher for patients with a history of HF than for patients without HF. In patients hospitalized with COVID-19, previous history of HF was associated with a more severe cardiovascular profile, with increased risk of cardiovascular complications, and poor in-hospital and 30-day outcomes.

Association between reduced muscle mass and poor prognosis of biliary sepsis

Sepsis is a life-threatening disease, contributing to significant morbidity and mortality. This study aimed to investigate the association between low muscle mass and the prognosis of patients with biliary sepsis, focusing on outcomes such as length of hospital stay (LOS), intensive care unit (ICU) admission, and in-hospital mortality. This retrospective, single-center, observational study included adult patients with biliary sepsis who visited the emergency department between January 2016 and December 2021. Low muscle mass was assessed using the psoas muscle index (PMI). Using computed tomography imaging, the area of both sides of the psoas muscle at the L3 level was measured, and the PMI, corrected by the patient’s height was calculated. The primary outcome was in-hospital mortality, and the secondary outcomes were intensive care unit (ICU) admission, LOS, and 14-day mortality. A total of 745 patients were included in this study. Low muscle mass was defined as a PMI < 421 mm2/m2 for males and < 268 mm2/m2 for females with the lower quartile of PMI according to sex. The cohort was classified into sarcopenic (n = 189) and non-sarcopenic (n = 556) groups. There was a significant association between low muscle mass and in-hospital mortality (odds ratio, 3.81; 95% confidence interval, 1.08–13.47; p < 0.001), while there was no significant association between low muscle mass and ICU admission. In addition, the median LOS in the sarcopenic group (10 [7–14] days) was significantly longer than the median (8 [6–11] days) in the non-sarcopenic group. Low muscle mass was significantly associated with clinical outcomes, particularly in-hospital mortality and LOS, in patients with biliary sepsis.

Post hospital admission blood lactate measurements are associated with mortality but not neurologic morbidity in children with cerebral malaria.

In children with cerebral malaria (CM) admission blood lactate has previously guided intravenous fluid therapy and been validated as a prognostic biomarker associated with death. The usefulness of post-admission measurements of blood lactate in children with CM is less clear. The strength of association between blood lactate and neurological sequelae in CM survivors, as well as the optimal duration of post-admission measurements of blood lactate to identify children at higher risk of adverse outcomes is unknown. A retrospective cohort study of 1674 Malawian children with CM hospitalized from 2000 to 2018 who had blood lactate measurements every 6h for the first 24h after admission was performed. The strength of association between admission lactate or values measured at any time point in the first 24h post-admission and outcomes (mortality and neurological morbidity in survivors) was estimated. The duration of time after admission that lactate remained a valid prognostic biomarker was assessed. When lactate is analysed as a continuous variable, children with CM who have higher values at admission have a 1.05-fold higher odds (95% CI 0.99-1.11) of death compared to those with lower lactate values. Children with higher blood lactate at 6h have 1.16-fold higher odds (95% CI 1.09-1.23) of death, compared to those with lower values. If lactate levels are dichotomized into hyperlactataemic (lactate > 5.0 mmol/L) or not, the strength of association between admission lactate and mortality increases (OR = 2.49, 95% CI 1.47-4.22). Blood lactate levels obtained after 18h post-admission are not associated with outcomes. Similarly, the change in lactate concentrations through time during the first 24h of hospital admission is not associated with outcomes. Blood lactate during hospitalization is not associated with adverse neurologic outcomes in CM survivors. In children with CM, blood lactate is associated with death but not neurologic morbidity in survivors. To comprehensively estimate prognosis, blood lactate in children with CM should be assessed at admission and for 18h afterwards.

Efficacy of an antimicrobial stewardship intervention for early adaptation of antibiotic therapy in high-risk neutropenic patients

BackgroundThe 4th European Conference on Infections in Leukemia recommends early adaptation of empirical antibiotic therapy (EAT) for febrile neutropenia in stable patients.ObjectivesTo assess the efficacy of an antimicrobial stewardship (AMS) intervention promoting early de-escalation and discontinuation of EAT in high-risk neutropenic patients.MethodsThis before-after study was conducted in the hematology department of the University Hospital of Nice, France. The AMS intervention included the development of clinical decision support algorithms, a twice-weekly face-to-face review of all antibiotic prescriptions and monthly feedback on the intervention. The primary endpoint was overall antibiotic consumption during hospital stay, expressed as days of therapy (DOT).ResultsA total of 113 admissions were included: 56 during the pre-intervention period and 57 during the intervention period. Induction chemotherapy and conditioning for allogeneic stem cell transplantation were the most frequent reasons for admission. In the intervention period, there was a significant decrease in overall antibiotic consumption (median DOT 20 vs. 28 days, p = 0.006), carbapenem consumption (median DOT 5.5 vs. 9 days, p = 0.017) and anti-resistant Gram-positive agents consumption (median DOT 8 vs. 11.5 days, p = 0.017). We found no statistical difference in the rates of intensive care unit admission (9% in each period) and 30-day mortality (5% vs. 0%, p = 0.243). Compliance with de-escalation and discontinuation strategies was significantly higher in the intervention period (77% vs. 8%, p < 0.001).ConclusionA multifaceted AMS intervention led to high compliance with early de-escalation and discontinuation of EAT and lower overall antibiotic consumption, without negatively affecting clinical outcomes.

Clinical characteristics and outcomes of vaccinated patients hospitalised with SARS-CoV-2 breakthrough infection: Multi-IPV, a multicentre study in Northern Italy

BackgroundDespite the well-known efficacy of anti-COVID-19 vaccines in preventing morbidity and mortality, several vaccinated individuals are diagnosed with SARS-CoV-2 breakthrough infection, which might require hospitalisation. This multicentre, observational, and retrospective study aimed to investigate the clinical characteristics and outcomes of vaccinated vs. non-vaccinated patients, both hospitalised with SARS-CoV-2 infection in 3 major hospitals in Northern Italy. MethodsData collection was retrospective, and paper and electronic medical records of adult patients with a diagnosed SARS-CoV-2 infection were pseudo-anonymised and analysed. Vaccinated and non-vaccinated individuals were manually paired, using a predetermined matching criterion (similar age, gender, and date of hospitalisation). Demographic, clinical, treatment, and outcome data were compared between groups differing by vaccination status using Pearson’s Chi-square and Mann-Whitney tests. Moreover, multiple logistic regression analyses were performed to assess the impact of vaccination status on ICU admission or intra-hospital mortality. ResultsData from 360 patients were collected. Vaccinated patients presented with a higher prevalence of relevant comorbidities, like kidney replacement therapy or haematological malignancy, despite a milder clinical presentation at the first evaluation. Non-vaccinated patients required intensive care more often than their vaccinated counterparts (8.8% vs. 1.7%, p = 0.002). Contrariwise, no difference in intra-hospital mortality was observed between the two groups (19% vs. 20%, p = 0.853). These results were confirmed by multivariable logistic regressions, which showed that vaccination was significantly associated with decreased risk of ICU admission (aOR=0.172, 95%CI: 0.039–0.542, p = 0.007), but not of intra-hospital mortality (aOR=0.996, 95%CI: 0.582–1.703, p = 0.987). ConclusionsThis study provides real-world data on vaccinated patients hospitalised with COVID-19 in Northern Italy. Our results suggest that COVID-19 vaccination has a protective role in individuals with higher risk profiles, especially regarding the need for ICU admission. These findings contribute to our understanding of SARS-CoV-2 infection outcomes among vaccinated individuals and emphasise the importance of vaccination in preventing severe disease, particularly in those countries with lower first-booster uptake rates.

Prognostic Role of Tricuspid Annular Plane Systolic Excursion to Systolic Pulmonary Artery Pressure Ratio for the Identification of Early Clinical Deterioration in Intermediate-High–Risk Pulmonary Embolism Patients

The ratio of tricuspid annular plane systolic excursion (TAPSE) to echocardiographically measured systolic pulmonary artery pressure (PASP) has been proposed as a surrogate of RV-arterial coupling. In this analysis, we assess the prognostic role of TAPSE/PASP for early clinical deterioration and short-term mortality in an often clinically challenging population of intermediate high-risk PE patients. A post-hoc analysis of intermediate-high risk PE patients enrolled in the Italian Pulmonary Embolism Registry (IPER) (ClinicalTrials.gov: NCT01604538) was performed. All patients underwent a transthoracic echocardiography (TTE) at admission. The primary and secondary outcomes were clinical deterioration within 48 hours from admission and 30-day all-cause mortality, respectively. Among 422 intermediate high-risk PE patients (mean age 71.2±5.3 years, 238 males), 37 (8.7%) experienced clinical deterioration within 48 hours of admission. The 30-day mortality rate was 6.6% (n=28). Receiver operating characteristic analysis established 0.33 as the optimal cut-off value for the TAPSE/PASP in predicting 48-h clinical deterioration (AUC of 0.79 ± 0.1). Sensitivity, specificity, PPV and NPV were 81%, 88.5%, 40.5% and 97.9%, respectively. Multivariate Cox regression analysis showed that a TAPSE/PASP≤0.33 was an independent predictor of 48-h clinical deterioration (HR: 2.06, 95% CI 1.98-2.11, p<0.0001) and 30-day mortality (HR: 2.28, 95% CI: 2.25-2.33, p<0.001). TAPSE/PASP shows promise as a non-invasive prognostic predictor to identify intermediate-high risk PE patients at higher risk of early clinical deterioration and short-term mortality.

Characterizing the clinical subgroups of individuals who present to the emergency department for alcohol-related harms in Ontario, Canada: A latent class analysis

Alcohol-related emergency department (ED) visits are common and associated with adverse clinical outcomes, including premature mortality. This population-based retrospective cohort study identified clinically distinct subgroups of individuals who experience alcohol-related ED visits and characterized differences in the risk of adverse outcomes between them. 73,658 individuals who experienced an alcohol-related ED visit in Ontario, Canada between 2017 and 2018 were identified. Latent class analysis (LCA) revealed five clinically distinct subgroups within the overall cohort. These subgroups followed a severity gradient from low-frequency service use for acute intoxication to high-frequency service use for alcohol use disorder (AUD) and related comorbidities. Relative to those presenting for acute intoxication, those presenting for AUD and comorbidities had a much higher risk of hospital admission (adjusted odds ratio [aOR]: 8.26, 95 % confidence interval [CI]: 7.81–8.75) and post-discharge mortality (adjusted hazard ratio [aHR]: 3.07, 95 % CI: 2.81–3.37). There was a subgroup of individuals with a history of high frequency alcohol-related health service use who were at the highest risk of experiencing another alcohol-related ED visit after the index event (aHR: 4.76, 95 % CI: 4.55–4.99). Individuals who experience alcohol-related ED visits are not a homogenous population, but a constellation of subgroups with different clinical characteristics and risk of adverse outcomes.

Improving Clostridioides difficile Infectious Disease Treatment Response via Adherence to Clinical Practice Guidelines.

Clostridioides difficile (C. difficile) is a predominant nosocomial infection, and guidelines for improving diagnosis and treatment were published in 2017. We conducted a single-center, retrospective 10-year cohort study of patients with primary C. difficile infectious disease (CDID) at the largest referral Lithuanian university hospital, aiming to evaluate the clinical and laboratory characteristics of CDID and their association with the outcomes, as well as implication of concordance with current Clinical Practice Guidelines. The study enrolled a total of 370 patients. Cases with non-concordant CDID treatment resulted in more CDID-related Intensive Care Unit (ICU) admissions (7.5 vs. 1.8%) and higher CDID-related mortality (13.0 vs. 1.8%) as well as 30-day all-cause mortality (61.0 vs. 36.1%) and a lower 30-day survival compared with CDID cases with concordant treatment (p < 0.05). Among cases defined by two criteria for severe CDID, only patients with non-concordant metronidazole treatment had refractory CDID (68.8 vs. 0.0%) compared with concordant vancomycin treatment. In the presence of non-concordant metronidazole treatment for severe CDID, only cases defined by two severity criteria had more CDID-related ICU admissions (18.8 vs. 0.0%) and higher CDID-related mortality (25.0 vs. 2.0%, p < 0.05) compared with cases defined by one criterion. Severe comorbidities and the continuation of concomitant antibiotics administered at CDID onset reduced (p < 0.05) the 30-day survival and increased (p = 0.053) 30-day all-cause mortality, with 57.6 vs. 10.7% and 52.0 vs. 25.0%, respectively. Conclusions: CDID treatment non-concordant with the guidelines was associated with various adverse outcomes. In CDID with leukocytes ≥ 15 × 109/L and serum creatinine level > 133 µmol/L (>1.5 mg/dL), enteral vancomycin should be used to avoid refractory response, as metronidazole use was associated with CDID-related ICU admission and CDID-related mortality. Severe comorbidities worsened the outcomes as they were associated with reduced 30-day survival. The continuation of concomitant antibiotic therapy increased 30-day all-cause mortality; thus, it needs to be reasonably justified, deescalated or stopped.

Development and Validation of Machine Learning-Based Models for Prediction of Intensive Care Unit Admission and In-Hospital Mortality in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease.

This present work focused on predicting prognostic outcome of inpatients developing acute exacerbation of chronic obstructive pulmonary disease (AECOPD), and enhancing patient monitoring and treatment by using objective clinical indicators. The present retrospective study enrolled 322 AECOPD patients. Registry data downloaded based on COPD Pay-for-Performance Program database from January 2012 to December 2018 were used to check whether the enrolled patients were eligible. Our primary and secondary outcomes were ICU admission and in-hospital mortality, respectively. The best feature subset was chosen by recursive feature elimination. Moreover, seven machine learning (ML) models were trained for forecasting ICU admission among AECOPD patients, and the model with the most excellent performance was used. According to our findings, random forest (RF) model showed superb discrimination performance, and the values of area under curve (AUC) were 0.973 and 0.828 in training and test cohorts, separately. Additionally, according to decision curve analysis, the net benefit of RF model was higher when differentiating patients with a high risk of ICU admission at a <0.55 threshold probability. Moreover, the ML-based prediction model was also constructed to predict in-hospital mortality, and it showed excellent calibration and discrimination capacities. The ML model was highly accurate in assessing the ICU admission and in-hospital mortality risk for AECOPD cases. Maintenance of model interpretability helped effectively provide accurate and lucid risk prediction of different individuals.

Efficacy and safety of catheter ablation for atrial fibrillation in patients with heart failure with preserved ejection fraction: a systematic review and meta-analysis.

Catheter ablation (CA) effectively treats atrial fibrillation (AF) in heart failure (HF) with reduced ejection fraction (HFrEF), improving clinical outcomes. However, its benefits for AF patients with heart failure with preserved ejection fraction (HFpEF) are still unclear. We systematically searched PubMed, Embase, Web of Science, the Cochrane Library, and Scopus for studies investigating outcomes of CA in AF patients with HFpEF. Efficacy indicators included freedom from AF and antiarrhythmic drugs (AAD) free AF elimination. Safety indicators comprised total complications, HF admission, all-cause admission, and all-cause mortality. Sixteen studies with 20,796 patients included in our research. The comprehensive analysis demonstrated that, when comparing CA with medical therapy in HFpEF, no significant differences were observed in terms of HF admissions, all-cause admissions, and all-cause mortality [(OR: 0.42; 95% CI: 0.12-1.51, P = 0.19), (HR: 0.78; 95% CI: 0.48-1.27, P = 0.31), and (OR: 1.10; 95% CI: 0.83-1.44, P = 0.51)], while freedom from AF was significantly higher in CA (OR: 5.88; 95% CI: 2.99-11.54, P < 0.00001). Compared with HFrEF, CA in HFpEF showed similar rates of freedom from AF, AAD-free AF elimination, total complications, and all-cause admission were similar [(OR:0.91; 95% CI: 0.71,1.17, P =0.47), (OR: 0.97; 95% CI: 0.50-1.86, P = 0.93), (OR: 1.27; 95% CI: 0.47-3.41, P = 0.64), (OR: 1.11; 95% CI: 0.72, 1.73; P = 0.63)]. However, CA in HFpEF was associated with lower rates of HF admission and all-cause mortality [(OR: 0.35; 95% CI: 0.20, 0.60; P = 0.0002), (OR: 0.40; 95% CI: 0.18, 0.85; P = 0.02)]. Compared with patients without HF, CA in HFpEF patients exhibited lower rates of AAD-free AF elimination (OR: 0.48; 95% CI: 0.30, 0.75; P = 0.001). However, their rates of freedom from AF and total complications were similar [(OR: 0.70; 95% CI: 0.48, 1.02; P = 0.06), (OR: 0.60; 95% CI: 0.19, 1.90; P = 0.38)]. This meta-analysis conducted provided a comprehensive evaluation of the efficacy and safety of CA in patients with AF and HFpEF. The results suggest that CA may represent a valuable treatment strategy for patients with AF and HFpEF. https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier (CRD42024514169).

Acute internal medicine physicians' clinical intuition based on acute care telephone referral: A prospective study.

In the Netherlands, most emergency department (ED) patients are referred by a general practitioner (GP) or a hospital specialist. Early risk stratification during telephone referral could allow the physician to assess the severity of the patients' illness in the prehospital setting. We aim to assess the discriminatory value of the acute internal medicine (AIM) physicians' clinical intuition based on telephone referral of ED patients to predict short-term adverse outcomes, and to investigate on which information their predictions are based. In this prospective study, we included adult ED patients who were referred for internal medicine by a GP or a hospital specialist. Primary outcomes were hospital admission and triage category according to the Manchester Triage System (MTS). Secondary outcome was 31-day mortality. The discriminatory performance of the clinical intuition was assessed using an area under the receiver operating characteristics curve (AUC). To identify which information is important to predict adverse outcomes, we performed univariate regression analysis. Agreement between predicted and observed MTS triage category was assessed using intraclass and Spearman's correlation. We included 333 patients, of whom 172 (51.7%) were referred by a GP, 146 (43.8%) by a hospital specialist, and 12 (3.6%) by another health professional. The AIM physician's clinical intuition showed good discriminatory performance regarding hospital admission (AUC 0.72, 95% CI: 0.66-0.78) and 31-day mortality (AUC 0.73, 95% CI: 0.64-0.81). Univariate regression analysis showed that age ≥65 years and a sense of alarm were significant predictors. The predicted and observed triage category were similar in 45.2%, but in 92.5% the prediction did not deviate by more than one category. Intraclass and Spearman's correlation showed fair agreement between predicted and observed triage category (ICC 0.48, Spearman's 0.29). Clinical intuition based on relevant information during a telephone referral can be used to accurately predict short-term outcomes, allowing for early risk stratification in the prehospital setting and managing ED patient flow more effectively.

Weekends admitted adult medical patients have higher in-hospital mortality in Ethiopia: An implication for quality improvement.

Weekend effect' is a term used to describe the increased mortality associated with weekend emergency admissions to hospitals compared with admissions on weekdays. This effect was not investigated in Ethiopia among adult patients admitted to hospitals. We aimed to find out whether the weekend effect exists in the country's a teaching hospital. The study was conducted among adult medical patients admitted at Yekatit 12 Hospital Medical College, Addis Ababa, Ethiopia, from September 2020 to September 2023. We extracted the data from the electronic medical records, and those with missed outcomes, length of hospital stays, and diagnosis were excluded. We used a multivariable logistic regression model to determine the association between the outcome and risk factors. The Cox proportional hazard model was utilized to establish the correlation between admission times and mortality risk incidence. Statistical significance was determined using a P value of less than 0.05. The Kaplan-Meier curve was utilized to estimate the risk of in-hospital mortality over the duration of the hospital stay. A of 5564 patients were admitted to medical wards (n = 5001) and intensive care unit (ICU) (n = 563) during the study periods. In binary multivariable analysis, weekend medical wards and ICU admitted adult medical patients had a 38% (AOR, 1.38, 95% CI, 1.17, 1.65) and 50% (AOR, 1.50, 95% CI, 1.02, 2.20) higher in-hospital mortality compared weekdays admitted patients, respectively. The cumulative mortality risk incidence was higher among medical ward-admitted patients (AHR, 1.26, 95% CI, 0.09, 1.46, P value = 0.051) and significantly higher among ICU-admitted adult patients (AHR, 1.28, 95% CI, 1.21, 1.75, P value = 0.01) during the weekends. There was no statistically significant mortality difference among night versus day or office hours versus off-office hours admitted patients. Moreover, we did identify significant differences in the duration of hospital stays between weekends and weekdays. In this study, weekend-admitted adult medical patients in wards or ICUs have higher in-hospital mortality rates. This underscores a need for comprehensive nationwide data to improve weekend admitted patients' quality of care and treatment outcomes.

Prognostic value of neutrophil-to-monocyte/lymphocyte ratio for 28-day mortality in ICU sepsis patients: a retrospective cohort study.

Sepsis is a life-threatening condition that requires rapid assessment to reduce mortality. This study investigates the relationship between the Neutrophil-to-Monocyte/Lymphocyte Ratio (NMLR) upon ICU admission and 28-day mortality in sepsis patients. A retrospective analysis was performed using clinical data from sepsis patients in the Medical Information Mart for Intensive Care IV (MIMIC-IV). Multivariate logistic regression, sensitivity analyses, and Restricted Cubic Spline (RCS) models were employed to explore the relationship between ICU admission NMLR and 28-day mortality. Kaplan-Meier method and inverse probability weighting (IPW) were used to adjust for confounders and estimate survival outcomes. Receiver operating characteristic (ROC) curve evaluating the predictive value of NLMR for 28-day mortality in ICU sepsis patients. Subgroup analyses considered factors like age, sex, race, comorbidities, and disease severity. In total, 8,710 patients were included. Increased NMLR was associated with higher 28-day all-cause mortality, confirmed by multiple logistic regression models. In Model 3, after adjusting for confounders, each standard deviation increase in NMLR was associated with a 1.5% increase in 28-day mortality risk. Kaplan-Meier and IPW survival analyses showed higher 28-day all-cause mortality in patients with elevated NMLR levels at ICU admission compared to those with lower levels (p < 0.0001, p = 0.031). RCS models suggested a potential non-linear relationship between NMLR and 28-day mortality. ROC curve for the NMLR model, with an AUC of 0.658 (95% CI: 0.642-0.673). Sensitivity analyses confirmed the association even after excluding patients with myocardial infarction and severe liver disease. Elevated NMLR at ICU admission is significantly associated with increased 28-day all-cause mortality in sepsis patients, suggesting its potential as an early prognostic indicator for risk assessment and intervention.

Association between Red Blood Cell Distribution Width and In-Hospital Mortality among Congestive Heart Failure Patients with Diabetes among Patients in the Intensive Care Unit: A Retrospective Cohort Study.

Elevated red blood cell distribution width (RDW) levels are strongly associated with an increased risk of mortality in patients with congestive heart failure (CHF). Additionally, heart failure has been closely linked to diabetes. Nevertheless, the relationship between RDW and in-hospital mortality in the intensive care unit (ICU) among patients with both congestive heart failure (CHF) and diabetes mellitus (DM) remains uncertain. This retrospective study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, a comprehensive critical care repository. RDW was assessed as both continuous and categorical variables. The primary outcome of the study was in-hospital mortality at the time of hospital discharge. We examined the association between RDW on ICU admission and in-hospital mortality using multivariable logistic regression models, restricted cubic spline analysis, and subgroup analysis. The cohort consisted of 7,063 patients with both DM and CHF (3,135 females and 3,928 males). After adjusting for potential confounders, we found an association between a 9% increase in mortality rate and a 1 g/L increase in RDW level (OR = 1.09; 95% CI, 1.05∼1.13), which was associated with 11 and 58% increases in mortality rates in Q2 (OR = 1.11, 95% CI: 0.87∼1.43) and Q3 (OR = 1.58, 95% CI: 1.22∼2.04), respectively, compared with that in Q1. Moreover, we observed a significant linear association between RDW and in-hospital mortality, along with strong stratified analyses to support the findings. Our findings establish a positive association between RDW and in-hospital mortality in patients with DM and CHF.

Serum procalcitonin levels are associated with rhabdomyolysis following exertional heatstroke: an over 10-year intensive care survey.

Heatstroke has become a common emergency event in hospitals. Procalcitonin (PCT) is used as a biomarker of infection in the emergency department (ED), but its role in rhabdomyolysis (RM) following exertional heatstroke (EHS) remains unclear. A retrospective cohort study enrolled patients with EHS from the intensive care unit (ICU). We collected RM biomarkers, inflammation markers, critical disease scores at admission, 24 h, 48 h, and discharge, and 90-day mortality. Correlation analysis, linear regression and curve fitting were used to identify the relationship between PCT and RM. A total of 162 patients were recruited and divided into RM (n=56) and non-RM (n=106) groups. PCT was positively correlated with myoglobin (Mb), acute hepatic injury, disseminated intravascular coagulation (DIC), Sequential Organ Failure Assessment (SOFA) score, and Acute Physiology and Chronic Health Evaluation II (APACHE II) score, with correlation coefficients of 0.214, 0.237, 0.285, 0.454, and 0.368, respectively (all P<0.05). Interestingly, the results of curve fitting revealed a nonlinear relationship between PCT and RM, and a two-piecewise linear regression model showed that PCT was related to RM with an odds ratio of 1.3 and a cut-off of <4.6 ng/mL. Survival analysis revealed that RM was associated with higher mortality compared to non-RM cases (P=0.0093). High serum PCT concentrations are associated with RM after EHS in critically ill patients. Elevated PCT concentrations should be interpreted cautiously in patients with EHS in the ED.

CLINICAL PROFILES AND OUTCOMES OF ADMISSIONS FOLLOWING COVID-19 ADMISSIONS DURING THREE WAVES OF THE PANDEMIC: EXPERIENCE OF A TERTIARY HOSPITAL IN THE EASTERN CAPE PROVINCE OF SOUTH AFRICA.

South Africa was the country worst affected by the Covid-19 pandemic in Africa. There is a paucity of data on the clinical characteristics and mortality of Covid-19 from the Eastern Cape province of South Africa. We report on the demographic and clinical characteristics as well as the mortality of patients admitted to the Covid-19 ward of Nelson Mandela Academic Hospital (NMAH), Mthatha, during three waves of the Covid-19 pandemic in South Africa. We conducted a single centre retrospective observational study of patients admitted for Covid-19 in a tertiary hospital in the rural Eastern Cape of South Africa. Data were collected from patient files, electronic databases and the National Health Laboratory Services (NHLS) database. The outcomes were duration of admission and in-hospital mortality. There were 371 patients admitted across all three waves with a mean age of 52.2 ± 16.3 years. The proportion of females across the three waves is 61.2%. The commonly associated comorbidities, irrespective of the wave, were hypertension, diabetes and HIV infection. The median duration of admission was six days, with an overall mortality of 31%. The mortality for first, second and third wave were 29.3%, 31.5% and 37.9% respectively. Admissions for Covid-19 were predominantly in females and middle-aged. One third of the admitted patients died. Diabetes, hypertension and HIV infection were the most commonly associated comorbidities.