Roles of the Ratio of C-Reactive Protein to Serum and Pericardial Fluid Albumin Levels in Predicting in-Hospital Mortality in Patients Undergoing Pericardiocentesis

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.

Background: The extent of myocardial damage largely determines both in-hospital and long-term mortality in patients with acute coronary syndrome. According to the literature, the in-hospital and long-term mortality rates in patients with unstable angina (UA) are lower than those in the patients with myocardial infarction (MI).&#x0D; Aim: To evaluate the in-hospital and long-term mortality rates and their predictors in patients undergoing in-patient treatment for acute coronary syndrome (MI and UA) in the regional cardiovascular center with the service territory of 1 million persons.&#x0D; Materials and methods: This retrospective registry study enrolled 1130 patients (715 [63.3%] men, 415 [36.7%] women) who were treated for UA and MI in the regional cardiovascular center in 2019. Based on the discharge diagnosis, the patients were divided into two groups: patients with MI (n = 766) and those with an UA episode (n = 364). The in-hospital and delayed mortality rates, as well as their predictors, were analyzed in both groups. The mean duration of the follow-up was 17.8 3.6 months.&#x0D; Results: The in-hospital mortality in patients with confirmed MI was 11.1% (85 patients) versus 0.27% (1 patient) in the UA patients (p 0.001). The independent predictors of in-hospital mortality in MI patients were a decreased left ventricular ejection fraction (LV EF) (odds ratio (OR) 0.9021, 95% confidence interval (CI) 0.82090.9914, p = 0.0324), chronic kidney disease C3a and above (OR 9.3205, 95% CI 2.670632.5283, p = 0.0005), and the extension of coronary involvement at coronary angiography (OR 1.3526, 95% CI 1.06670.0127, p = 0.0127). The long-term mortality in MI patients was 10.4% (72 patients) with no significant difference from that in UA patients (9.9%, 36 patients, p = 0.76). The independent predictors of long-term mortality after MI were older age (OR 1.12, 95% CI 1.011.22, p = 0.0052), chronic kidney disease C3a and above (OR 2.3375, 95% CI 1.13924.7963, p = 0.0206), decreased EF (OR 0.8895, 95% CI 0.730.99, p = 0.0364), atrial fibrillation on admission (OR 3.1462, 95% CI 1.35107.3268, p = 0.0079), and diabetes mellitus (OR 2.3163, 95% CI 1.25524.2744, p = 0.0072). In the UA patients, the predictors of the long-term mortality were a decrease in LV EF (OR 0.9139, 95% CI 0.86830.9619, p = 0.0006) and in blood hemoglobin level (OR 0.9729, 95% CI 0.95440.9917, p = 0.0050).&#x0D; Conclusion: The in-hospital mortality in UA patients is lower than that in MI patients, with comparable long-term mortality. This indicates the need of active follow-up of the patients with past UA, irrespective of the endovascular assessment and intervention.

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.

BackgroundRecent studies have identified a co-occurrence of chronic obstructive pulmonary disease and congestive heart failure in ICU patients. Abnormal red cell distribution width (RDW) frequently manifests in critically ill patients, but its clinical significance remains a subject of debate. This study aims to investigate the relationship between RDW and in-hospital mortality in patients with concurrent congestive heart failure and chronic obstructive pulmonary disease.MethodsWe conducted a retrospective cohort study using the Medical Information Mart for Intensive Care (MIMIC) IV version 2.0 database. RDW levels were assessed within 24 h of admission. The impact of RDW at ICU admission on in-hospital mortality was analyzed through multivariable logistic regression models, generalized additive models, and subgroup analysis.ResultsWe enrolled 6,309 patients with congestive heart failure and concomitant chronic obstructive pulmonary disease, with an in-hospital mortality rate of 12.4% (783/6,309). The fully adjusted model revealed a positive association between RDW and in-hospital mortality in congestive heart failure patients with concurrent chronic obstructive pulmonary disease, even after accounting for confounding factors (OR = 1.07, 95% CI: 1.03–1.12, p < 0.001). When comparing the highest quartile (Q4) to the lowest quartile (Q1), the odds ratio (OR) was 1.62, with a 95% confidence interval (CI) of 1.17–2.22, p = 0.003. We observed a linear relationship between RDW and in-hospital mortality, which remained consistent in subgroup analysis.ConclusionsOur data suggest that RDW is positively associated with in-hospital mortality in patients with both congestive heart failure and chronic obstructive pulmonary disease. At the same time, large prospective research and longer follow-up time are required to further validate the findings of this study.

Intoduction: Cardiogenic shock (SK) is the most severe phase of the acute heart failure syndrome. One of the most widely studied inflammatory mediators in cardiogenic shock is neutrophils. Albumin has several functions, including in pressure regulation, plays a role as an antioxidant and anti-inflammatory agent. Several studies have shown the association of albumin levels with mortality in patients with cardiogenic shock. Purpose: This study aimed to evaluate the utilization of neutrophil-albumin ratio (NAR) in predicting in-hospital mortality in patients with cardiogenic shock (CS) Patients and methods: This study was an observational study with cross sectional design conducted at the Department of Cardiovascular, Harapan Kita Cardiovascular Hospital. The data were collected from the patient registry (January 2018 to April 2020). The study participants were all patients with cardiogenic shock admitted to our hospital. The endpoint was in-hospital mortality in CS patients. Predictors of hospital mortality were identified using multivariable logistic regression, followed by receiver operator characteristic (ROC) curve analysis and cut-off value for optimal NAR level. Results: A total of 130 patients hospitalized with CS were enrolled in this study, In-hospital mortality was found in 75 (57,7%) patients, among which 102 (78,5%) were male and 101 (77,7%) patients had acute coronary syndrome. There was a significant positive correlation between NAR levels and in-hospital mortality. The multivariate logistic regression showed that NAR was independently associated with increased risk of in-hospital mortality with odd ratio (OR) of 5,81, 95% confidence interval (CI) 2,303 - 14,692, P &lt;0,001. NAR had a prognostic value in predicting in-hospital mortality of CS based on ROC curve analysis (AUC 0,802), with an optimal NAR cut-off value of 25. Conclusion: NAR is independently associated with in-hospital mortality in patients with CS Keywords: Neutropil-albumin ratio, cardiogenic Shock, mortality predictor

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.

The present study aimed to analyze and compare the prognostic performances of the Revised Trauma Score (RTS), Injury Severity Score (ISS), Shock Index (SI), and Modified Early Warning Score (MEWS) for in-hospital mortality in patients with traumatic brain injury (TBI). This retrospective observational study included severe trauma patients with TBI who visited the emergency department between January 2018 and December 2020. TBI was considered when the Abbreviated Injury Scale was 3 or higher. The primary outcome was in-hospital mortality. In total, 1108 patients were included, and the in-hospital mortality was 183 patients (16.3% of the cohort). Receiver operating characteristic curve analyses were performed for the ISS, RTS, SI, and MEWS with respect to the prediction of in-hospital mortality. The area under the curves (AUCs) of the ISS, RTS, SI, and MEWS were 0.638 (95% confidence interval (CI), 0.603–0.672), 0.742 (95% CI, 0.709–0.772), 0.524 (95% CI, 0.489–0.560), and 0.799 (95% CI, 0.769–0.827), respectively. The AUC of MEWS was significantly different from the AUCs of ISS, RTS, and SI. In multivariate analysis, age (odds ratio (OR), 1.012; 95% CI, 1.000–1.023), the ISS (OR, 1.040; 95% CI, 1.013–1.069), the Glasgow Coma Scale (GCS) score (OR, 0.793; 95% CI, 0.761–0.826), and body temperature (BT) (OR, 0.465; 95% CI, 0.329–0.655) were independently associated with in-hospital mortality after adjustment for confounders. In the present study, the MEWS showed fair performance for predicting in-hospital mortality in patients with TBI. The GCS score and BT seemed to have a significant role in the discrimination ability of the MEWS. The MEWS may be a useful tool for predicting in-hospital mortality in patients with TBI.

Comparison of the Effect of Anemia on In-Hospital Mortality in Patients With Versus Without Preserved Left Ventricular Ejection Fraction

Background Stress cardiomyopathy (SCMP) is an acute but reversible heart failure syndrome with varying clinical outcomes. Although low triiodothyronine (T3) levels are closely associated with heart failure, it is uncertain whether total T3 levels on admission might be correlated with clinical outcomes in patients with SCMP. The aim of this study was to investigate the prognostic value of total T3 level for in-hospital mortality in patients with SCMP. Methods Patients presenting with SCMP at a single tertiary hospital between January 2013 and May 2019 were retrospectively reviewed. The diagnosis of SCMP was confirmed using the International Takotsubo Diagnostic Criteria and echocardiography was performed at least twice at the time of admission. Comorbidities, antecedent triggers, and other cardiac and metabolic parameters were measured in the survivor group compared with the non-survivor group. We evaluated the correlation between these parameters, especially total T3 and the prevalence of in-hospital mortality and the predictive values of total T3. Results Of the 134 SCMP patients (69.4 ± 15.5 years old, 94 women), 29 (21.6%) died during hospitalisation. The median follow-up period (interquartile range) was 480 days (63.25–1052.50). Total T3 levels were significantly lower in the non-survival group than in the survival group (33.38 ± 22.58 ng/dL vs. 65.72 ± 34.68 ng/dL, p < 0.0001). Receiver operating characteristic curve analysis showed the cut-offs of total T3 levels (≤64.37 ng/dL) for in-hospital mortality (area under curve [AUC] = 0.764, p < 0.001). In multivariable analysis, the T3 level (odds ratio [OR], 0.957; 95% confidential interval [CI], 0.934 to 0.982; p < 0.001), left ventricular ejection in follow-up echocardiography (OR, 0.935; 95% CI, 0.889–0.983; p = 0.008), and shock at initial presentation (OR, 3.389; 95% CI, 1.076–10.669; p = 0.037) were independent predictors for in-hospital mortality in SCMP patients. In patients with low T3 (<64.37 ng/dL), the 30-day survival rate was also significantly lower (81.58 vs. 100%, Log rank p = 0.001). Conclusions Lower levels of total T3 were strongly correlated with in-hospital mortality in patients with SCMP. A low T3 level might suggest poor prognosis in patients with SCMP.

Nutrition and inflammation status play a vital role in the prognosis of patients with heart failure (HF). This study aimed to investigate the association between the advanced lung cancer inflammation index (ALI), a novel composite indicator of inflammation and nutrition, and short-term mortality among critically ill patients with HF. This retrospective study included 548 critically ill patients with HF from the MIMIC-IV database. ALI was computed using body mass index, serum albumin and neutrophil-lymphocyte ratio. The primary endpoint was all-cause in-hospital mortality, and the secondary endpoint was 90day mortality. Kaplan-Meier survival curve analysis with long-rank test and Cox proportional hazards regression models were employed to assess the relationship between baseline ALI and short-term mortality risk. The incremental predictive ability of ALI was evaluated by C-statistic, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI). The average age of 548 patients was 72.2 (61.9, 82.1) years, with 60% being male. Sixty-three patients (11.5%) died in the hospital, and 114 patients (20.8%)died within 90days of intensive care unit admission. The Kaplan-Meier analysis revealed that the cumulative incidences of both in-hospital and 90day mortality were significantly higher in patients with lower ALI (log-rank test, in-hospital mortality: P<0.001; 90day mortality: P<0.001). The adjusted Cox proportional hazard model revealed that ALI was inversely associated with both in-hospital and 90day mortality after adjusting for confounders [hazard ratio (HR) (95% confidence interval) (CI): 0.97 (0.94, 0.99), P=0.035; HR (95% CI): 0.62 (0.39, 0.99), P=0.046]. A linear relationship was observed between ALI and in-hospital mortality (P for non-linearity=0.211). The addition of ALI significantly improved the prognostic ability of GWTG-HF score in the in-hospital mortality [C-statistic improved from 0.62 to 0.68, P=0.001; continuous NRI (95% CI): 0.44 (0.20, 0.67), P<0.001; IDI (95% CI): 0.03 (0.01, 0.04), P<0.001] and 90day mortality [C-statistic improved from 0.63 to 0.70, P<0.001; continuous NRI (95% CI): 0.31 (0.11, 0.50), P=0.002; IDI (95% CI): 0.01 (0.00, 0.02), P=0.034]. Subgroup analysis revealed stronger correlations between ALI and in-hospital mortality in males and patients aged over 65years (interaction P=0.031 and 0.010, respectively). The C-statistic of in-hospital mortality in patients over 65years was 0.66 (95% CI: 0.58, 0.74). ALI at baseline can independently predict the risk of short-term mortality in critically ill patients with HF, with lower ALI significantly associated with higher mortality. Further large prospective research with extended follow-up periods is necessary to validate the findings of this study.

Soluble interleukin-2 receptor predicts acute kidney injury and in-hospital mortality in patients with acute myocardial infarction

Background & aimsOverweight and obesity have been consistently reported to carry an increased risk for poorer outcomes in coronavirus disease 2019 (COVID-19) in adults. Existing reports mainly focus on in-hospital and intensive care unit mortality in patient cohorts usually not representative of the population with the highest mortality, i.e. the very old and frail patients. Accordingly, little is known about the risk patterns related to body mass and nutrition in very old patients. Our aim was to assess the relationship between body mass index (BMI), nutritional status and in-geriatric hospital mortality among geriatric patients treated for COVID-19. As a reference, the analyses were performed also in patients treated for other diagnoses than COVID-19.MethodsWe analyzed up to 10,031 geriatric patients with a median age of 83 years of which 1409 (14%) were hospitalized for COVID-19 and 8622 (86%) for other diagnoses in seven geriatric hospitals in the Stockholm region, Sweden during March 2020–January 2021. Data were available in electronic hospital records. The associations between 1) BMI and 2) nutritional status, assessed using the Mini-Nutritional Assessment - Short Form (MNA-SF) scale, and short-term in-geriatric hospital mortality were analyzed using logistic regression.ResultsAfter adjusting for age, sex, comorbidity, polypharmacy, frailty and the wave of the pandemic (first vs. second), underweight defined as BMI<18.5 increased the risk of in-hospital mortality in COVID-19 patients (odds ratio [OR] = 2.30; confidence interval [CI] = 1.17–4.31). Overweight and obesity were not associated with in-hospital mortality. Malnutrition; i.e. MNA-SF 0–7 points, increased the risk of in-hospital mortality in patients treated for COVID-19 (OR = 2.03; CI = 1.16–3.68) and other causes (OR = 6.01; CI = 2.73–15.91).ConclusionsOur results indicate that obesity is not a risk factor for very old patients with COVID-19, but emphasize the role of underweight and malnutrition for in-hospital mortality in geriatric patients with COVID-19.

P/FP [PaO2/(FiO2*PEEP)] is associated with in-hospital mortality in patients with acute respiratory distress syndrome (ARDS). However, to the best of our knowledge, the association between P/FP after 24 hours of invasive mechanical ventilation (IMV) and in-hospital mortality in patients with ARDS due to Coronavirus Disease 2019 (COVID-19) remained unclear. This study aimed to evaluate the relationship between the P/FP after 24 hours of IMV and in-hospital mortality in patients with ARDS due to COVID-19. We reanalyzed previously published data from Peru. Hueda-Zavaleta et al conducted a retrospective cohort study between April 2020 and April 2021 in southern Peru. A total of 200 hospitalized COVID-19 patients requiring IMV were included in this analysis. We used Cox proportional hazard regression models and Kaplan–Meier survival analysis to investigate the effect of P/FP after 24 hours of IMV on in-hospital mortality. We used a restricted cubic spline regression and a two-piecewise Cox proportional hazards model to explore the relationship between P/FP after 24 hours of IMV and in-hospital mortality in patients with ARDS due to COVID-19. Of the 200 patients, 51 (25.50%) died in hospital. The median P/FP was 20.45 mm Hg/cmH2O [interquartile range 15.79–25.21 mm Hg/cmH2O], with a range of 5.67 mm Hg/cmH2O to 51.21 mm Hg/cmH2O. Based on the P/FP ratio, patients were equally divided into 2 groups (low group [P/FP < 20.50 mm Hg/cmH2O] and high group [P/FP ≥ 20.50 mm Hg/cmH2O]). In-hospital mortality was lower in the high P/FP group than in the low P/FP group (12 [12%] vs 39 [39%]; unadjusted hazard ratio [HR]: 0.33, 95% confidence interval [CI]: 0.17–0.63; adjusted HR: 0.10, 95% CI: 0.02–0.47). We also found a nonlinear relationship between P/FP and in-hospital mortality. After adjusting for potential confounders, the HR was 0.67 (95% CI: 0.56–0.79) for P/FP ≤ 22 mm Hg/cmH2O and 1.10 (95% CI: 0.83–1.47) for P/FP > 22 mm Hg/cmH2O. In addition, lymphocytes ≤ 1 × 109/L and acute kidney failure had a higher risk of death. After adjusting for potential confounders, the P/FP after 24 hours of IMV was nonlinearly associated with in-hospital mortality in patients with ARDS due to COVID-19.

Association of systemic immune-inflammation index with in-hospital mortality of cardiogenic shock patients supported with extracorporeal membrane oxygenation.

High levels of blood urea nitrogen (BUN) have been demonstrated to significantly predict poor prognosis in patients with acute decompensated heart failure. However, this relationship has not been fully investigated in patients with acute myocardial infarction (AMI). We investigated whether a high level of BUN is a significant predictor for in-hospital mortality and other clinical outcomes in patients with AMI. The Japanese registry of acute Myocardial INfarction diagnosed by Universal dEfiniTion (J-MINUET) is a prospective, observational, multicenter study conducted in 28 institutions, in which 3,283 consecutive AMI patients were enrolled. We excluded 98 patients in whom BUN levels were not recorded at admission and 190 patients who were undergoing hemodialysis. A total of 2,995 patients were retrospectively analyzed. BUN tertiles were 1.5-14.4 mg/dL (tertile 1), 14.5-19.4 mg/dL (tertile 2), and 19.5-240 mg/dL (tertile 3). Increasing tertiles of BUN were associated with stepwise increased risk of in-hospital mortality (2.5, 5.1, and 11%, respectively; P < 0.001). These relationships were also observed after adjusting for reduced estimated glomerular filtration rate (estimated GFR < 60 mL/minute/1.73 m2) or Killip classifications. In multivariable analysis, high levels of BUN significantly predicted in-hospital mortality, after adjusting for creatinine and other known predictors (BUN tertile 3 versus 1, adjusted odds ratio [OR]: 2.59, 95% confidence interval [95% CI]: 1.57-4.25, P < 0.001; BUN tertile 2 versus 1, adjusted OR: 1.60, 95% CI: 0.94-2.73, P = 0.081). A high level of BUN could be a useful predictor of in-hospital mortality in AMI patients.