Higher Risk Of In-hospital Mortality Research Articles

Impact of body mass index on in-hospital mortality for six acute cardiovascular diseases in Japan

Body mass index (BMI) distribution and its impact on cardiovascular disease (CVD) vary between Asian and western populations. The study aimed to reveal time-related trends in the prevalence of obesity and underweight and safe ranges of BMI in Japanese patients with CVD. We analyzed 5,020,464 records from the national Japanese Registry of All Cardiac and Vascular Diseases—Diagnosis Procedure Combination dataset over time (2012–2019) and evaluated BMI trends and the impact on in-hospital mortality for six acute CVDs: acute heart failure (AHF), acute myocardial infarction (AMI), acute aortic dissection (AAD), ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH). Patients were categorized into five groups using the WHO Asian-BMI criteria: underweight (< 18.5 kg/m2), normal (18.5–22.9 kg/m2), overweight at risk (23.0–24.9 kg/m2), obese I (25.0–29.9 kg/m2), and obese II (≥ 30.0 kg/m2). Age was significantly and inversely related to high BMI for all diseases (P < 0.001). The proportion of BMI categories significantly altered over time; annual BMI trends showed a significant and gradual increase, except AAD. In adjusted mixed models, underweight was significantly associated with a high risk of in-hospital mortality in all CVD patients (AHF, OR 1.41, 95% CI 1.35–1.48, P < 0.001; AMI, OR 1.27, 95% CI 1.20–1.35, P < 0.001; AAD, OR 1.23, 95% CI 1.16–1.32, P < 0.001; IS, OR 1.45, 95% CI 1.41–1.50, P < 0.001; ICH, OR 1.18, 95% CI 1.13–1.22, P < 0.001; SAH, OR 1.17, 95% CI 1.10–1.26, P < 0.001). Moreover, obese I and II groups were significantly associated with a higher incidence of in-hospital mortality, except AHF and IS. Age was associated with in-hospital mortality for all BMI categories in six CVD patients. BMI increased annually in patients with six types of CVDs. Although underweight BMI was associated with high mortality rates, the impact of obesity on in-hospital mortality differs among CVD types.

The Challenge of High Coronary Thrombotic Events in Patients with ST-Segment Elevation Myocardial Infarction and COVID-19.

The aim of this observational study was to describe the characteristics and outcomes of coronavirus disease 2019 (COVID-19)-positive patients with ST-segment elevation myocardial infarction (STEMI), with a special focus on factors associated with a high risk of coronary thrombosis and in-hospital mortality. Comparing the two groups of patients with STEMI separated according to the presence of SARS-CoV-2 infections, it was observed that COVID-19 patients were more likely to present with dyspnea (82.43% vs. 61.41%, p = 0.048) and cardiogenic shock (10.52% vs. 5.40%, p = 0.012). A longer total ischemia time was observed in COVID-19 patients, and they were twice as likely to undergo coronary angiography more than 12 hours after the onset of symptoms (19.29% vs. 10.13%, p = 0.024). In 10 of 57 COVID-19-positive patients, a primary PCI was not necessary, and only thromboaspiration was performed (17.54% vs. 2.70%, p < 0.001). Platelet level was inversely correlated (r = −0.512, p = 0.025) with a higher risk of coronary thrombosis without an atherosclerotic lesion. Using a cut-off value of 740 ng/ml, D-dimers predicted a higher risk of coronary thrombosis, with a sensitivity of 80% and a specificity of 66% (ROC area under the curve: 0.826, 95% CI: 0.716−0.935, p = 0.001). These are novel findings that raise the question of whether more aggressive antithrombotic therapy is necessary for selected COVID-19 and STEMI patients.

The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study.

We aimed to evaluate the predictive power of systemic inflammation response index (SIRI), a novel biomarker, to predict all-cause mortality in patients with traumatic brain injury (TBI) in the intensive care unit (ICU). Clinical data were retrieved from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Kaplan-Meier (KM) methods and cox proportional hazard models were performed to examine the association between SIRI and all-cause mortality. The predictive power of SIRI was evaluated compared to other leukocyte-related indexes including neutrophils, lymphocytes, monocytes and white blood cells (WBC) by the Receiver Operating Characteristic (ROC)curve for 30-day mortality. In addition, propensity score matching (PSM) was conducted to reduce confounding. A total of 350 TBI patients were enrolled overall in our study. The optimal cutoff point of SIRI was determined at 11.24 × 109/L. After 1:1 PSM, 66 matched pairs (132 patients) were generated. During the 30-day, in-hospital and 365-day follow-up periods, patients with low SIRI level were associated with improved survival (p < 0.05) compared with patients with high SIRI level. Cox regression analysis identified that higher SIRI values was an independent risk factor for all-cause mortality and results were stable on multiple subgroup analyses. Furthermore, ROC analysis indicated that the area under the curve of SIRI [0.6658 (95% Confidence Interval, 0.5630-0.7687)] was greater than that of neutrophils, monocytes, lymphocytes and WBC. The above results were also observed in the matched cohort. It was suggested that TBI patients with high SIRI level would suffer from a high risk of 30-day, in-hospital and 365-day mortality. SIRI is a promising inflammatory biomarker for predicting TBI patients' prognosis with relatively better predictive power than other single indicators related to peripheral differential leukocyte counts.

First 24-h Sardjito Cardiovascular Intensive Care (SCIENCE) admission risk score to predict mortality in cardiovascular intensive care unit (CICU)

Background and objectivesThe application of prognostic scoring systems to identify risk of death within 24 h of CICU admission has significant consequences for clinical decision-making. Previous score of parameters collected after 24 h was considered too late to predict mortality. As a result, we attempted to develop a CICU admission risk score to predict hospital mortality using indicators collected within 24 h. MethodsData were obtained from SCIENCE registry from January 1, 2021 to December 21, 2021. Outcomes of 657 patients (mean age 58.91 ± 12.8 years) were recorded retrospectively. Demography, risk factors, comorbidities, vital signs, laboratory and echocardiography data at 24-h of patient admitted to CICU were analysed by multivariate logistic regression to create two models of scoring system (probability and cut-off model) to predict in-hospital mortality of any cause. ResultsFrom a total of 657 patients, the hospital mortality was 15%. The significant predictors of mortality were male, acute heart failure, hemodynamic instability, pneumonia, baseline creatinine ≥1.5 mg/dL, TAPSE <17 mm, and the use of mechanical ventilator within first 24-h of CICU admission. Based on Receiver Operating Characteristic (ROC) curve analysis a cut off of ≥3 is considered to be a high risk of in-hospital mortality (sensitivity 75% and specificity 65%). ConclusionThe initial 24-h SCIENCE admission risk rating system can be used to predict in-hospital mortality in patients admitted to the CICU with a high degree of sensitivity and specificity,

Diabetes mellitus duration and mortality in patients hospitalized with acute myocardial infarction

BackgroundDiabetes mellitus (DM) is associated with an increased mortality risk in patients hospitalized with acute myocardial infarction (AMI); however, no studies have investigated the impact of the duration of DM on in-hospital mortality. In this study, we evaluated in-hospital mortality in AMI patients according to DM status and its duration.MethodsUsing health administrative databases of Lombardy, DM patients≥50 years hospitalized with AMI from 2010 to 2019 were included in the analysis and were stratified according to the duration of DM: <5, 5–10, and > 10 years. The primary endpoint was mortality during AMI hospitalization and the secondary endpoint was 1-year mortality in comparison with No-DM patients. Logistic and Cox regressions analyses were used to estimate odds ratios (ORs, CI 95%) and hazard ratios (HRs, CI 95%) for the outcomes, according to DM status and duration and AMI type (STEMI and NSTEMI).ResultsOur study cohort comprised 29,566 and 109,247 DM and No-DM patients, respectively. Adjusted ORs and HRs showed a significantly higher risk of in-hospital mortality (OR 1.50, 95% CI 1.43–1.58) and 1-year mortality (HR 1.51, 95% CI 1.46–1.55) in DM patients in comparison with those without. These risks increased progressively with the duration of DM, with the highest risk observed in patients with DM duration ≥ 10 years (OR 1.59, 95% CI 1.50–1.69 for in-hospital mortality and HR 1.59, 95% CI 1.53–1.64 for 1-year mortality). These findings were similar in STEMI and in NSTEMI patients.ConclusionsOur study demonstrates that the duration of DM parallels mortality risk in patients hospitalized with AMI, highlighting that DM duration should be considered as an important early prognostic risk factor in patients with AMI.

Joint Effect of Diabetes Mellitus and Hypertension on COVID-19 in-Hospital Mortality Stratified by Age Group and Other Comorbidities: A Cohort Retrospective Study Using Hospital-Based Data in Sleman, Yogyakarta.

The joint effect of diabetes mellitus and hypertension on COVID-19 has rarely been evaluated but had potential as a major risk factor. This study aims to investigate the joint effect between diabetes mellitus and hypertension on in-hospital mortality among COVID-19 patients in Yogyakarta stratified by age groups and other comorbidities status. Methods: This cohort retrospective study collected data from two major hospitals in the Sleman district and a total of 2779 hospitalized COVID-19 patients were included in this study. The study outcome was COVID-19 in-hospital mortality (deceased or discharged alive) and the main risk factors were diabetes mellitus (DM) and hypertension (HT). The multiple logistic regression model was utilized to estimate adjusted odds ratio (AOR) and calculate the joint effect. Results: COVID-19 patients who have both DM and hypertension were three times (AOR: 3.21; 95% CI: 2.45–4.19) more likely to have in-hospital mortality than those without both comorbidities. The highest risk of in-hospital mortality was found in COVID-19 patients without other comorbidities (other than DM and HT) and younger age (age 0–40 years), with AOR equal to 22.40 (95% CI: 6.61–75.99). Conclusions: This study identified a joint effect between diabetes mellitus and hypertension which increases the risk of in-hospital mortality among COVID-19 patients. Targeted public health, clinical, and health education intervention should be carried out on individuals with diabetes mellitus and/or hypertension.

Association of stress hyperglycemia ratio and in-hospital mortality in patients with coronary artery disease: insights from a large cohort study

BackgroundStress hyperglycemia is strongly associated with poor clinical outcomes in patients with acute coronary syndrome (ACS). Recently, the stress hyperglycemia ratio (SHR) has been proposed to represent relative hyperglycemia. Studies regarding the relationship between SHR and mortality in coronary artery disease (CAD) are limited. This study aimed to clarify the association between SHR and in-hospital mortality in patients with CAD.MethodsA total of 19,929 patients with CAD who were hospitalized in Beijing Hospital were enrolled in this study. Patients with an estimated glomerular filtration rate < 30 ml/min, cancer, or missing blood glucose/HbA1c data were excluded; therefore, 8,196 patients were included in the final analysis. The patients were divided into three groups based on tertiles of SHR: T1 group (SHR < 0.725, n = 2,732), T2 group (0.725 ≤ SHR < 0.832, n = 2,730), and T3 group (SHR ≥ 0.832, n = 2,734). The primary endpoint was in-hospital mortality.ResultsThe overall in-hospital mortality rate was 0.91% (n = 74). After adjusting for covariates, SHR was significantly associated with in-hospital mortality in patients with CAD [odds ratio (OR) = 17.038; 95% confidence interval (CI) = 9.668–30.027; P < 0.001], and the T3 group had a higher risk of in-hospital mortality (OR = 4.901; 95% CI = 2.583–9.297; P < 0.001) compared with T1 group. In the subgroup analysis, the T3 group had an increased risk of mortality among patients with pre-diabetes mellitus (pre-DM) (OR = 9.670; 95% CI = 1.886–49.571; P = 0.007) and diabetes mellitus (DM) (OR = 5.023; 95% CI = 2.371–10.640; P < 0.001) after adjustments for covariates. The relationship between SHR and in-hospital mortality among patients with ACS and chronic coronary syndrome was consistent with the main finding. SHR and in-hospital mortality exhibited a dose-response relationship, and the risk of in-hospital mortality increased when the SHR index was above 1.20. Moreover, the area under the curve of SHR for predicting in-hospital mortality in patients with CAD was 0.741.ConclusionSHR is significantly associated with in-hospital mortality in patients with CAD. SHR may be an effective predictor of in-hospital mortality in patients with CAD, especially for those with pre-DM and DM.

Risk Factors and Outcomes of Protein-Calorie Malnutrition in Chronic Heart Failure Patients Undergoing Elective Cardiac Surgery.

Chronic heart failure (CHF) patients are often malnourished. Our aim was to determine the effect of protein-calorie malnutrition (PCM) on in-hospital outcomes in CHF patients following elective cardiac surgery and to identify risk factors for PCM in this patient population. A retrospective analysis of the National Inpatient Sample (NIS) database was conducted from2016 to 2018. In-hospital outcomes in adult patients with CHF undergoing elective coronary artery bypass graft (CABG) with cardiopulmonary bypass-assist or cardiac valve replacement surgeries were analyzed. Propensity-score matching was used to match CHF patients with and without PCM and followed by logistic regression analysis. A multivariate logistic regression model was used to identify the risk factors associated with PCM in this population. In total 25,940 CHF patients were identified, of which 6,271 underwent elective CABG and 19,669 underwent valve replacement surgeries. The prevalence of PCM in CHF patients undergoing CABG and valve replacement was 3.9% and 2.9%, respectively. CHF patients with PCM had significantly higher risk of in-hospital mortality, post-operative cardiac and gastrointestinal complications compared to CHF patients without PCM. The mean hospital length of stay was twice as high in the PCM group (mean days: 18.6 vs 9.9). Female gender, Black race (vsWhite race), a high Charlson Comorbidity Index, Medicare/Medicaid insurance status (vsprivate insurance), and CHF (systolic and combined systolic and diastolic) were independently associated with significantly higher risk of PCM diagnosis. CHF patients with PCM who undergo elective CABG or valve replacement surgeries are at a significantly higher risk of mortality, post-operative cardiac and gastrointestinal complications, and increased duration of hospital stay compared to those without PCM. Future prospective studies should assess the CHF patients who are at a higher risk of PCM and whether correcting pre-operative nutrition in this surgical population can improve outcomes following cardiac surgery.

Therapeutic target and clinical impact of day-to-day blood pressure variability in hypertensive patients with covid-19.

Blood pressure variability (BPV) is essential in hypertensive patients and is frequently associated with organ damage. As of today, hypertension is still the most common comorbidity in COVID-19, but the impact of BPV and the therapeutic target of BPV on outcomes in COVID-19 patients with hypertension remain unclear. Therefore, this study investigated the relationship between BPV and severity of COVID-19, in-hospital mortality, hypertensive status, and efficacy of antihypertensives in suppressing hypertensive covid-19 patient BPV. This cohort retrospective study enrolled 351 patients hospitalized with COVID-19. Subjects were classified according to the severity of COVID-19, the presence of hypertension, and their BPV status. During hospitalization, mean arterial pressure (MAP) was measured at 6 a.m. and 6 p.m., and BPV was calculated as the coefficient of variation of MAP (MAPCV). MAPCV values above the median were defined as high BPV. In addition, we compared the hypertensive status, COVID-19 severity, in-hospital mortality, and antihypertensive agents between the BPV groups. The mean age was 53.85 ± 18.84 years old. Hypertension was significantly associated with high BPV with prevalence ratio (PR) = 1.38 (95% CI = 1.13–1.70; p = 0.003) or severe COVID-19 (PR = 1.39; 95% CI = 1.09–1.76; p = 0.005). In laboratory findings, high BPV group had lower Albumin, higher WBC, serum Cr, CRP, and creatinine to albumin ratio. High BPV status also significantly increased risk of mortality (HR = 2.30; 95% CI = 1.73–3.86; p < 0.001). Patients with a combination of severe COVID-19 status, hypertension, and high BPV status had the highest risk of in-hospital mortality (HR = 3.51; 95% CI = 2.32–4.97; p < 0.001) compared to other combination status groups. In COVID-19 patients with hypertension, combination therapy with calcium channel blockers (CCB) as well as CCB monotherapy significantly develop low BPV (PR = 2.002; 95 CI% = 1.33–3.07; p = 0.004) and low mortality (HR = 0.17; 95% CI = 0.05–0.56; p = 0.004). Hypertensive status and severe COVID-19 were significantly associated with high BPV, and these factors increased in-hospital mortality. CCBs might be antihypertensive agents that potentially effectively suppressing BPV and mortality in COVID-19 patients.

Heart failure admission to a cardiology department versus other internal medicine department is associated with improved long-term survival

Abstract Background Hospitalization for heart failure (HF) is associated with a high risk of in-hospital mortality, but also poor long-term outcomes. Although most hospital systems aim to admit patients with HF to cardiology departments, a significant proportion is admitted to other internal medicine departments due to shortages of beds and limited resources. The prognostic importance of being admitted to different departments is unknown. Purpose To compare the long-term mortality rate in patients admitted to hospital with a first diagnosis for HF to a cardiology department versus other internal medicine departments at a large academic hospital in Norway with a catchment area of 560,000 individuals. Methods Adult patients with a first ICD-10 diagnosis of HF (I11.0, I13.0, I13.2, I42.x, I50.x) admitted to an internal medicine department at our University Hospital between 2011 and 2019 were included. All-cause mortality was obtained from the Norwegian Cause of death registry until December 31, 2021. Results In total, we included 7,692 patients aged 76.1±13.0 years, of whom 46.0% were women, 57.4% had hypertension, 24.1% diabetes, 47.0% established coronary artery disease (CAD) and 36.0% a previous acute myocardial infarction (AMI). Of these, 50.7% were admitted to the cardiology department, 13.5% to the pulmonary department, 7.6% to the infectious disease department and the rest to other internal medicine departments. Patients admitted to the cardiology department were younger and more frequently men with established heart disease. They were more frequently examined with echocardiography during the first 30 days after admission, but had comparable levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP) to those admitted to other departments (Table 1). During mean 5.9 years of follow-up, 56.6% of patients died. Patients admitted to the cardiology department had 37% lower mortality risk compared to other departments (HR 0.63 [95% CI 0.59–0.66], p&amp;lt;0.001). This association persisted after adjusting for age, sex, comorbidities (listed in the Table), NT-proBNP and undergoing echocardiographic examination (HR 0.75 [0.70–0.80], p&amp;lt;0.001). Having an echocardiographic examination was also associated with lower mortality risk in the same multivariable model (HR 0.92 [95% CI 0.86–0.97], p&amp;lt;0.001). Conclusion Admission to a cardiology department with HF is associated with better long-term outcomes compared to admission to other internal medicine departments. These findings support health care policy efforts to expand capacity at cardiology departments to allow best care for these vulnerable patients. Funding Acknowledgement Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): This study was in part funded by research grants from Novartis.

Elevated levels of Lp(a) are associated with coronary lesion complexity in patients hospitalized for an acute myocardial infarction: data from the French RICO Survey

Abstract Background Although patients with elevated Lp(a) are at high risk of acute myocardial infarction (MI), coronary artery disease (CAD) burden associated with Lp(a) remains poorly investigated. Methods Single center study including all consecutive patients hospitalized for an acute MI in Coronary Care Unit from the RICO database (2019–2021) who underwent coronary angiography and blood sample for Lp(a) assessment on admission. Coronary lesion complexity was retrospectively assessed by SYNTAX score and pre-specified angiographic criteria. Patients were compared according to their Lp(a) levels: &amp;lt;50 mg/dL (normal), ≥50 mg/dL and ≤100 mg/dL (high) and &amp;gt;100 mg/dL (very high). Results 921 patients were included, of whom 177 (19.2%) had elevated Lp(a) &amp;gt;50 mg/dL, including 121 (13.1%) with high and 56 (6.1%) with very high Lp(a). Median (IQR) age was similar across the 3 groups (normal: 68 (58–78)y; high: 70 (60–80)y; very high: 69 (61–78)y, p=0.381). When compared with patients with normal Lp(a), patients with high and very high Lp(a) levels had increased prevalence of personal history of CAD (19%, 28% and 29%, respectively, p=0.026) and family history of CAD (19%, 26% and 29%, p=0.032, respectively). The rate of women was more common in very high Lp(a) level than in high and normal groups (46%, 33%, and 29%, respectively, p=0.016). Rate of ST-segment elevation MI was similar for the 3 groups (p=0.961). At coronary angiography, CAD burden, as assessed by SYNTAX score was much higher in elevated Lp(a) groups (11 (6–19), 15 (8–24), 17 (7–25), p=0.001, respectively). Moreover, patients with elevated Lp(a) had more complex coronary lesions (p=0.034), characterized by left main (p=0.021), and calcified lesions (p=0.002) (figure). In-hospital mortality gradually increased across the 3 groups (2.8%, 6.6%, 8.9%, p=0.010, respectively). Conclusions This retrospective study in patients with acute MI shows that elevated Lp(a) were common, associated with high risk for in-hospital mortality. Patients with high Lp(a) were characterized by severe CAD burden, with complex anatomy features including left main and calcified lesions. The long-term prognostic impact of Lp(a)-associated CAD burden needs to be explored. Funding Acknowledgement Type of funding sources: Public Institution(s). Main funding source(s): ARS Bourgogne Franche ComtéCHU Dijon BourgogneAssociation de Cardiologie de Bourgogne

Peri-interventional ischemic stroke after coronary angiography: a large-scale nationwide cohort analysis from 2006 to 2020

Abstract Background Ischemic stroke after coronary angiography is a life-threatening complication, leading to high mortality and long-term sequelae in surviving patients. Contemporary data from a European nationwide perspective are however lacking. Purpose We aimed to investigate the incidence, temporal trends, and outcome of ischemic stroke complicating coronary angiography in a German nationwide cohort. Methods A retrospective analysis of healthcare records from 2006–2020 based on ICD-10 and OPS codes obtained from the German Federal Statistical Office was carried out. Patients ≥18 years of age hospitalized for coronary angiography (both diagnostic and percutaneous interventions) were included in this analysis. Ischemic stroke events as well as co-morbidities were identified using ICD-10 and OPS codes. The outcome of interest was in-hospital mortality. Multivariable logistic regressions were computed for the association of ischemic stroke with in-hospital mortality adjusting for age, gender, hypertension, hyperlipoproteinemia, and diabetes mellitus. Results Overall 5,098,751 cases of patients undergoing coronary angiography (mean age 68.7±11.4 years; 28.0% female) between 2006 and 2020 were included. Ischemic stroke occurred in 3,808 (0.07%) patients. In comparison, individuals who suffered from peri-interventional ischemic stroke were older (70.8±11.1 vs. 68.7±11.4; p&amp;lt;0.001), more likely female (33.4% vs. 27.9%; p&amp;lt;0.001), and differed significantly according to their clinical characteristics (see Table 1). Patients with ischemic stroke had a significantly longer in-hospital stay (18.3±15.5 vs. 6.4±8.0 days; p&amp;lt;0.001), and higher rates of in-hospital mortality (18.0% vs. 3.2%; p&amp;lt;0.001) compared to patients without ischemic stroke. After multivariable adjustment, ischemic stroke remained independently associated with a higher risk of in-hospital mortality with an Odds ratio of 6.5 (95% Confidence Interval: 5.9, 7.1; p&amp;lt;0.001). Also, incidence of peri-interventional stroke increased gradually from 0.03% in 2006 to 0.12% in 2020 (see Figure 1). Conclusion In a contemporary nationwide cohort of patients hospitalized for coronary angiography spanning 15 years, the incidence of ischemic stroke remained low, although a gradual increase from 2006 to 2020 was documented. The occurrence of ischemic stroke was independently associated with a markedly increased risk of in-hospital mortality. These findings might be helpful in evaluating patients undergoing coronary angiography and to reduce the high mortality and morbidity associated with this complication in future. Funding Acknowledgement Type of funding sources: None.

Impact of early readmission to the cardiac ICUon in-hospital mortality and hospital length of stay in 30,942 cardiac patients

Abstract Background The need for cardiac intensive care unit (ICU) beds remains high in order to monitor and treat emergency patients with severe cardiovascular diseases, particularly during the COVID-19 pandemic. Therefore, timely discharge strategies from the cardiac ICU to peripheral wards are crucial to meet the increasing demand for cardiac ICU beds. Early patient transfer from ICU to the peripheral ward may result in worsening of the patient's clinical condition and outcome with readmission to the ICU, while late transfer may require prolonged expert care and generate unwanted costs. Purpose To investigate whether unplanned readmission of cardiac patients to the cardiac ICU within 72 hours after the index ICU stay is associated with increased mortality risk (primary outcome) and prolonged total hospital length of stay (LOS) (secondary outcome), as well as to identify predictors of ICU readmission in cardiac patients. Methods Adult patients who were admitted to the cardiac ICU due to a primary cardiac admission diagnosis at a tertiary care center between 2003 and 2021 were included. Outcomes were analysed with multivariable regression models adjusted for 26 a priori defined variables on patient demographics, underlying comorbidity levels, ICU procedures and administered ICU drugs. Results 30,942 cardiac patients were included, out of whom 1,499 patients (4.84%) were readmitted to the cardiac ICU within 72 hours. 1,023 (68.2%) of readmitted patients were male. Compared to non-readmitted patients, readmitted patients were older, had more underlying comorbidities (Charlson Index), had more severe disease courses (SOFA score, TISS, APACHE II score and SAPS), as well as required more frequently vasopressor therapy, renal replacement therapy and coronary angiographies (Table 1). Readmission to the cardiac ICU was associated with higher in-hospital mortality risk (Odds Ratio 7.52, 95% Confidence Interval (CI) 4.15–12.27, P&amp;lt;0.001) and prolonged hospital LOS (Incidence Rate Ratio 1.56, 95% CI 1.15–1.58, P&amp;lt;0.001). Patients who were readmitted to the ICU had been discharged 18% earlier during the index ICU stay compared to non-readmitted patients (P&amp;lt;0.001). Of note, readmitted and non-readmitted patients had similar vital parameters at time of ICU discharge after their index ICU stay. During the index ICU stay, non-readmitted patients were prescribed more beta blockers (65.3% vs. 45.8%), ACE inhibitors (37.0% vs. 27.2%) and blood transfusions (10.7% vs. 7.7%). Conclusion Early readmission to the cardiac ICU was associated with increased in-hospital mortality and prolonged hospitalisation. Readmitted patients had been discharged earlier from their index ICU stay and required more comprehensive critical care. ICU discharge strategies should optimally be based on objective patient assessments to facilitate patient safety and shorten hospital length of stay. Artificial intelligence-based algorithms may support clinicians with safe ICU discharge. Funding Acknowledgement Type of funding sources: None.

IMPACT OF THIAMINE DEFICIENCY IN SEPSIS HOSPITALIZATIONS

SESSION TITLE: Sepsis: Beyond 30cc/kg and AntibioticsSESSION TYPE: Rapid Fire Original InvPRESENTED ON: 10/19/2022 11:15 am - 12:15 pmPURPOSE: Thiamine deficiency is a clinical disease that can result from severe prolonged deficiency of thiamine, it can affect the immune system resulting in weak immunity, the cardiovascular, and nervous system. In this study, we aim to study the impact of thiamine deficiency in Sepsis hospitalizations.METHODS: Hospitalizations with sepsis principal diagnosis on discharge were selected from the 2019 US National Inpatient Sample, using ICD 10 code (International Classification of Diseases, Tenth Revision, Clinical Modification). We queried the 2019 National Inpatient Sample for secondary diagnosis of thiamine deficiency. Confounders were adjusted for using multivariable logistic analysis.RESULTS: Among 2,245,305 adult hospitalizations with sepsis primary diagnosis on discharge, around 0.1% had a concomitant secondary diagnosis of thiamine deficiency, with mean age 61.3 years old in sepsis hospitalizations with thiamine deficiency, and 65.00 years old in sepsis hospitalizations without thiamine deficiency. 36.3% females in sepsis hospitalizations with thiamine deficiency vs 50% females without thiamine deficiency (p=0.001). Among sepsis hospitalizations 14% mortality rate in patients with thiamine deficiency vs 8.4% in patients without thiamine deficiency (p<0.001). An adjusted odds ratio of 2.05 for mortality in sepsis with thiamine deficiency compared to sepsis without thiamine deficiency (95% Confidence Interval [1.5 to 2.7]; p< 0.001). Sepsis hospitalizations with thiamine deficiency showed an increase in the mean length of stay by 6.95 days (95% Confidence Interval 5.5 to 8.4; p<0.001), and an increase in the mean of total hospitalization charges by $64,514 (95% Confidence Interval $38,353 to $90,678; p<0.001) compared to pneumonia hospitalizations without thiamine deficiency.CONCLUSIONS: Thiamine deficiency is associated with poor outcomes in patients with sepsis with a higher risk of in-hospital mortality, and increased hospital length of stay and health costs.CLINICAL IMPLICATIONS: This study points to the importance of identifying hospitalized patients with thiamine deficiency.DISCLOSURES: No relevant relationships by yazan Al JabiriNo relevant relationships by Mohannad Al-KhateebNo relevant relationships by Mohammad AldiabatNo relevant relationships by Rami DalbahNo relevant relationships by Ali HoroubNo relevant relationships by Tasnim Sholi SESSION TITLE: Sepsis: Beyond 30cc/kg and Antibiotics SESSION TYPE: Rapid Fire Original Inv PRESENTED ON: 10/19/2022 11:15 am - 12:15 pm PURPOSE: Thiamine deficiency is a clinical disease that can result from severe prolonged deficiency of thiamine, it can affect the immune system resulting in weak immunity, the cardiovascular, and nervous system. In this study, we aim to study the impact of thiamine deficiency in Sepsis hospitalizations. METHODS: Hospitalizations with sepsis principal diagnosis on discharge were selected from the 2019 US National Inpatient Sample, using ICD 10 code (International Classification of Diseases, Tenth Revision, Clinical Modification). We queried the 2019 National Inpatient Sample for secondary diagnosis of thiamine deficiency. Confounders were adjusted for using multivariable logistic analysis. RESULTS: Among 2,245,305 adult hospitalizations with sepsis primary diagnosis on discharge, around 0.1% had a concomitant secondary diagnosis of thiamine deficiency, with mean age 61.3 years old in sepsis hospitalizations with thiamine deficiency, and 65.00 years old in sepsis hospitalizations without thiamine deficiency. 36.3% females in sepsis hospitalizations with thiamine deficiency vs 50% females without thiamine deficiency (p=0.001). Among sepsis hospitalizations 14% mortality rate in patients with thiamine deficiency vs 8.4% in patients without thiamine deficiency (p<0.001). An adjusted odds ratio of 2.05 for mortality in sepsis with thiamine deficiency compared to sepsis without thiamine deficiency (95% Confidence Interval [1.5 to 2.7]; p< 0.001). Sepsis hospitalizations with thiamine deficiency showed an increase in the mean length of stay by 6.95 days (95% Confidence Interval 5.5 to 8.4; p<0.001), and an increase in the mean of total hospitalization charges by $64,514 (95% Confidence Interval $38,353 to $90,678; p<0.001) compared to pneumonia hospitalizations without thiamine deficiency. CONCLUSIONS: Thiamine deficiency is associated with poor outcomes in patients with sepsis with a higher risk of in-hospital mortality, and increased hospital length of stay and health costs. CLINICAL IMPLICATIONS: This study points to the importance of identifying hospitalized patients with thiamine deficiency. DISCLOSURES: No relevant relationships by yazan Al Jabiri No relevant relationships by Mohannad Al-Khateeb No relevant relationships by Mohammad Aldiabat No relevant relationships by Rami Dalbah No relevant relationships by Ali Horoub No relevant relationships by Tasnim Sholi

Worse Outcomes After Readmission to a Different Hospital After Sepsis: A Nationwide Cohort Study

BackgroundIn the United States, sepsis accounts for 13% of the total hospital expenses and > 50% of hospital deaths. Moreover, people with sepsis are more likely to be readmitted. ObjectiveThe aim of this study was to assess the prevalence and outcomes of different hospital readmissions (DHRs) in patients with sepsis, and the factors associated with DHR. MethodsWe used data from the Nationwide Readmissions Database of the United States in 2017 to identify patients admitted for sepsis. Multivariable logistic regression analysis was used to evaluate the factors associated with DHR; five models were constructed to elucidate the relationship between DHR and in-hospital outcomes. ResultsIn 2017, 85,120 (21.97%) of all patients with sepsis readmitted within 30 days in the United States were readmitted to a different hospital. The most common reason for readmission was infection irrespective of hospital status. Compared with the patients with sepsis who were readmitted to the same hospital, DHR was associated with higher hospitalization costs ($2264; 95% CI $1755–$2772; p < 0.001), longer length of stay (0.58 days; 95% CI 0.44–0.71 days; p < 0.001), and higher risk of in-hospital mortality (odds ratio 1.63; 95% CI 1.55–1.72; p < 0.001). ConclusionsDHR occurred in one-fifth of patients with sepsis in the United States. Our findings suggest that patients readmitted to a different hospital within 30 days may experience higher in-hospital mortality, longer length of stay, and higher hospitalization costs. Future studies need to examine whether continuity of care can improve the prognosis of patients with sepsis.

12 Early Mortality Risk Assessment Modeling by Random Forest Analysis of Patients Presenting to a Tertiary Medical Center Emergency Department

Identifying patients at higher risk for in-hospital mortality can inform shared decision making and Goals of Care (GOC) discussions. Traditionally, logistic regression (LR) has been used to develop mortality risk models, such as the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation (APACHE) scores. The development of machine learning (ML) methods of analysis can yield higher area under receiver operating cure when compared to LR models and has been shown to generate predictive results much earlier in hospitalization than feasible previously.

Outcomes of COVID-19 in Cancer Patients who Developed Acute Kidney Injury During Hospitalization in a Tertiary Care Hospital in India

Background: The development of acute kidney injury (AKI) in patients infected with COVID-19 has been observed to be associated with poor outcomes. Our study aimed to measure the outcomes of COVID-19 in cancer patients who developed AKI during hospitalization and the predictive baseline clinical and laboratory factors associated with the development of AKI. Materials and Methods: This retrospective cohort study was conducted at a COVID hospital that included only cancer patients with COVID-19 infection. Acute kidney injury (AKI) was defined according to KDIGO (Kidney Disease: Improving Global Outcomes) criteria. The demographic, clinical, laboratory and outcomes data were collected from the hospital electronic database and abstracted from the case files. Results: Thirteen (12.8%) of the total 102 cancer patients developed AKI during hospitalization. Out of 13, 11 (84.6%) patients presented with hypoxemia during admission and required oxygen support. Breathlessness [Odds Ratio (OR) (95% CI): 5.8 (1.1-31.3)] or hypoxemia [OR 22.6 (2.6-194.5)] at the time of presentation and requirement of oxygen support [OR 7.5 (1.4-40.5)] were significantly associated with AKI after adjusting for age, gender, vaccination status and comorbidities. Median baseline values of inflammatory markers were significantly higher among those who developed AKI. Out of 102, 27 (26.5%) patients had in-hospital mortality. Mortality was high among those who developed AKI compared to those who didn’t develop AKI (92.3% vs 16.1%, p-value: &lt;0.001). Conclusions: The cancer patients infected by COVID-19 and who developed AKI were more vulnerable to poor outcomes in terms of in-hospital mortality. The patients with severe disease at presentation and higher levels of baseline inflammatory markers CRP, ferritin, and D-Dimer were more susceptible to the development of AKI and in turn, led to a higher risk of in-hospital mortality in these patients.

The skip phenomenon in Staphylococcus aureus bacteremia: clinical implications

Serial blood cultures (BCs) are integral in managing Staphylococcus aureus bacteremia (SAB) to determine complication risks and treatment response. Several studies recognized the skip phenomenon (SP)- the occurrence of intermittent negative BCs and recommend obtaining additional BCs to document clearance. We examined patients with SP to determine its clinical significance. Significant differences between those who did and did not manifest the SP included higher rates of injection drug use and community-onset SAB in the SP cohort. Longer SAB duration, high-grade SAB, and complicated bacteremia were more common in the SP group. In unadjusted outcome analyses, association of SP with hospital length of stay was not significant, although a higher risk of in-hospital mortality among SP patients approached significance. Analysis of hospital survivors revealed no significant differences in 90-day relapse or 1-year mortality. Clinical implications of patients with SAB and SP indicate that serial BCs are warranted to document bacterial clearance.

Impact of ventricular arrhythmia on LVAD implantation admission outcomes

Ventricular arrhythmias (VAs) are common after left ventricular assist device (LVAD) implantation though data are mixed on whether these events have an impact on mortality. The National Inpatient Sample (NIS) database from 2002-2019 was queried for LVAD implantation admissions. Secondary ICD codes were analyzed to assess for the occurrence of VAs during this admission. Propensity score matching (PSM) was used to control for confounding variables between those with versus without VAs. The NIS database from 2002-2019 contained 43 936 admissions with LVAD implantation. VAs occurred in 19 985 (45.4%) patients. After PSM, the study cohort consisted of 39 989 patients, 19 985 (50.0%) of which had a secondary diagnosis of VA during the admission. When compared to those without VA, those with VA were at no higher risk for in-hospital mortality (adjusted odds ratio 1.011, 99.9% CI 0.956-1.069, p=0.699). Those with a VA were at higher risk for cardiogenic shock and requiring mechanical ventilation, tracheostomy, and percutaneous endoscopic gastrostomy placement. Patients with a VA were also at lower risk for device thrombosis. Conversely, the VA group was at no higher risk for stroke. In comparing trends from 2002 to 2019, the incidence of VAs has increased, while the mortality rate of those with and without VAs has decreased during this same period. In this retrospective study of the NIS database, VAs were common (45.4%) during the LVAD implantation admission. However, the occurrence of VAs during the implantation admission did not alter in-hospital mortality. More longitudinal studies are required to assess the long-term impact of VAs on mortality. In comparing trends from 2002-2019, the incidence of VAs has increased, while the mortality rate of those with and without VAs has decreased.

Angiographic and clinical outcome of SARS-CoV-2 positive patients with ST-segment elevation myocardial infarction undergoing primary angioplasty: A collaborative, individual patient data meta-analysis of six registry-based studies

BackgroundThe characteristics and outcome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients with ST-Elevation Myocardial Infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI) are still poorly known. MethodsThe PANDEMIC study was an investigator-initiated, collaborative, individual patient data (IPD) meta-analysis of registry-based studies. MEDLINE, ScienceDirect, Web of Sciences, and SCOPUS were searched to identify all registry-based studies describing the characteristics and outcome of SARS-CoV-2-positive STEMI patients undergoing PPCI. The control group consisted of SARS-CoV-2-negative STEMI patients undergoing PPCI in the same time period from the ISACS-STEMI COVID 19 registry. The primary outcome was in-hospital mortality; the secondary outcome was postprocedural reperfusion assessed by TIMI flow. ResultsOf 8 registry-based studies identified, IPD were obtained from 6 studies including 941 SARS-CoV-2-positive patients; the control group included 2005 SARS-CoV-2-negative patients. SARS-CoV-2-positive patients showed a significantly higher in-hospital mortality (p < 0.001) and worse postprocedural TIMI flow (<3, p < 0.001) compared with SARS-CoV-2-negative subjects. The increased risk for SARS-CoV-2-positive patients was significantly higher in males compared to females for both the primary (pinteraction = 0.001) and secondary outcome (pinteraction = 0.023). In SARS-CoV-2-positive patients, age ≥ 75 years (OR = 5.72; 95%CI: 1.77–18.5), impaired postprocedural TIMI flow (OR = 11.72; 95%CI: 2.64–52.10), and cardiogenic shock at presentation (OR = 11.02; 95%CI: 2.84–42.80) were independent predictors of mortality. ConclusionsIn STEMI patients undergoing PPCI, SARS-CoV-2 positivity is independently associated with impaired reperfusion and with a higher risk of in-hospital mortality, especially among male patients. Age ≥ 75 years, cardiogenic shock, and impaired postprocedural TIMI flow independently predict mortality in this high-risk population.