Significant Predictor Of Mortality Research Articles

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as predictors of mortality in acute pulmonary embolism: A systematic review and meta-analysis.

The purpose of this review was to examine the association between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) and mortality rates in patients with acute pulmonary embolism (PE). PubMed Central, Scopus, Web of Science, and Embase were searched for studies reporting the association between NLR and PLR with mortality up to March 17th 2023. Adjusted ratios were sourced from studies and combined to generate pooled outcomes as odds ratio (OR) in a random-effects model. Risk of bias was assessed using the Newcastle Ottawa Scale. Fifteen studies were included. Meta-analysis showed that NLR was a significant predictor of mortality in patients with PE (OR: 1.42 95% CI: 1.26, 1.61 I2=92%). Results were unchanged on sensitivity analysis and subgroup analysis based on study location, method of diagnosis, sample size, overall mortality rates, cut-offs, and follow-up. Pooled analysis failed to demonstrate PLR as a predictor of mortality in patients with PE (OR: 1.00 95% CI: 1.00, 1.01 I2=57%). Results were unchanged on sensitivity analysis and subgroup analysis based on study location, diagnosis of PE, overall mortality rates, and cut-off. Current evidence from retrospective studies shows that NLR can independently predict mortality in acute PE. Data on PLR was limited and failed to indicate an independent role in the prognosis of PE patients. Registration No. PROSPERO (CRD42023407573).

The Usefulness of Strain Echocardiography as Diagnostic and Prognostic Index of Cardiac Dysfunction in Septic Patients in Correlation with Cardiac Biomarkers.

Compared to standard echocardiography, speckle tracking echocardiography (STE) looks more accurate for the detection of subclinical dysfunction of the myocardium. The aim of our work was to assess the value of STE in the diagnosis of subclinical ventricular dysfunction and as a prognostic index in sepsis patients. An observational prospective study involving critically ill patients aged ≥ 18 years diagnosed with sepsis or septic shock. All patients were subjected to full history-taking, clinical assessment, and scoring system, including Acute Physiology and Chronic Health (APACHE) II score and quick sequential organ failure assessment score. Investigations were done for all patients, including laboratory (complete blood count, C-reactive protein, N-terminal pro-brain natriuretic peptide [NT-proBNP], and troponin-I and serum lactate level), ECG, and echocardiographic examination (conventional and speckle tracking) for measurement of global left ventricular strain. This study involved 50 patients, nine patients with sepsis and 41 patients with septic shock. Regarding cardiac biomarkers, the mean value of troponin-I was 0.18 ± 0.05 ng/L and for NT-proBNP was 1228.2 ± 832.9 pmol/L. All patients in the study had elevated lactate levels. There was a significant correlation between global longitudinal strain (GLS) and troponin I, NT-proBNP, and lactate levels after 3 days of admission. GLS, lactate, NT-proBNP, troponin levels, and APACHE II Score were significant predictors of mortality with a sensitivity of 76.5%, 88.2%, 88.2%, 76.5%, and 88.2%, respectively. GLS measured by speckle tracking echocardiography looks to be a sensitive diagnostic tool for early detection of subclinical left ventricular dysfunction in patients with sepsis in addition to be a sensitive predictor of in-hospital mortality.

Admission Left-Arm Systolic Blood Pressure and In-Hospital Mortality After Acute Type A Aortic Dissection Repair

Admission systolic blood pressure is a significant predictor of in-hospital mortality in patients with acute type A aortic dissection (ATAAD). While previous studies have focussed on recording the highest blood pressure value from both arms, this study aimed to evaluate the associations between blood pressure in bilateral arms and in-hospital mortality. Data were analysed from 262 patients with ATAAD treated at a single centre. The relationship between bilateral arm blood pressure upon admission and in-hospital mortality was assessed in a logistic regression model. To comprehensively evaluate potential non-linear relationships, the association between admission bilateral systolic blood pressure (SBP) and the risk of in-hospital mortality was analysed using restricted cubic splines on a continuous scale. Mean age was 53.6±12.5 years and 194 (74.0%) were male. Baseline and operative data showed that ages, body mass index, smoking, left-arm SBP, left-arm diastolic blood pressure (DBP), right-arm SBP, right-arm DBP, syncope, cerebral/cardiac ischaemia, retrograde brain perfusion, Bentall procedure, coronary artery bypass grafting, and aortic valve replacement significantly differed among the left-arm SBP tertiles. In-hospital mortality was 17.6% (46 of 262). Restricted cubic splines demonstrated that the relationship between presenting left-arm SBP and in-hospital mortality followed a U-shaped curve, whereas non-linearity was not detected in the right arm. This study found a U-shaped association between admission left-arm SBP and in-hospital mortality in ATAAD surgery patients, whereas a non-linearity relationship was not detected for right-arm SBP. Low left-arm SBP independently correlated with increased in-hospital mortality, underscoring the significance of bilateral blood pressure differences in ATAAD prognosis.

Predictors of mortality for blunt trauma patients in intensive care: A retrospective cohort study

Background: Major trauma places substantial demand on critical care services, is a leading cause of death in under 40-year-olds and causes significant morbidity and mortality across all age groups. Various factors influence patient outcome and predefining these could allow prognostication. The aim of this study was to identify predictors of mortality from major trauma in intensive care. Methods: This was a retrospective study of adult trauma patients admitted to general intensive care between January 2018 and December 2019. We assessed the impact on mortality of patient demographics, patterns of injury, injury scores (Glasgow Coma Score (GCS), Charlson’s comorbidity index (CCI), Acute Physiology and Health Evaluation II (APACHE II), Injury Severity Score (ISS) and Probability of Survival Score (Ps19)), number of surgeries and mechanism of injury using logistic regression. Results: A total of 414 patients were included with a median age of 54 years (IQR 34–72). Overall mortality was 18.6%. The most common mechanism of injury was traffic collision (46%). Non-survivors were older, had higher ISS scores with lower GCS on admission and probability of survival scores. Factors independently predictive of mortality were increasing age (OR 1.06, p <0.001) and GCS <15 on admission (OR 7.21, p <0.001). Ps19 was the best predictor of mortality (p <0.001 for each score category), with an AUROC of 0.90. Conclusions: The significant mortality predictors were age, fall from <2 metres, injury of head or limbs, GCS <15 and Ps19. Contrary to previous studies CCI and APACHE II did not significantly predict mortality. Although Ps19 was found to be the best current prognostic score, trauma prognostication would benefit from a single validated scoring system incorporating both physiological variables and injury patterns.

Predictors of early mortality following surgical or nonsurgical treatment of subaxial cervical spine fractures: a retrospective nationwide registry study

BACKGROUNDTraumatic subaxial cervical spine fractures are a significant public health concern due to their association with spinal cord injuries (SCI). Despite being mostly caused by low-energy trauma, these fractures significantly contribute to morbidity and mortality. Currently, research regarding early mortality based on the choice of treatment following these fractures is limited. Identifying predictors of early mortality may aid in postoperative patient monitoring and improve outcomes. PURPOSEThis study aimed to identify predictors of 30-days, 90-days, and 1-year mortality in adults treated for subaxial fractures. STUDY DESIGNA retrospective review of the nationwide Swedish Fracture Register (SFR). PATIENT SAMPLEAll adult patients in the SFR who underwent treatment for a subaxial cervical fracture (n = 1,963). OUTCOME MEASURESAnalyzed variables included age, sex, injury mechanism, neurological function, fracture characteristics, and treatment type. The primary endpoints were 30-days, 90-days, and 1-year mortality. METHODSAbout 1,963 patients in the SFR, treated for subaxial cervical fractures between 2013 and 2021, were analyzed. Surgical procedures included anterior, posterior, or anteroposterior approaches. Nonsurgical treatment included collar treatment or medical examinations without intervention. Stepwise regression and Cox regression analysis were used to determine predictors. Model performance was tested using the area under the receiver operating characteristic curve (AUC). RESULTSA total of 620 patients underwent surgery and 1,343 received nonsurgical treatment. Surgical cases had primarily translation fractures, with 323 (52%) displaying no neurological deficits. Mortality rates at 30 days, 90 days, and 1 year were 22/620 (3.5%), 35/620 (5.6%), and 53/620 (8.5%), respectively. Age and SCI were predictors of mortality. Nonsurgically treated patients mostly had compression fracture, with 1,214 (90%) experiencing no neurological deficits. Mortality rates at 30 days, 90 days, and 1 year were 41/1,343 (3.1%), 71/1,343 (5.3%), and 118/1,343 (8.7%). Age, male sex, SCI and fractures occurring at the C3 or C6 levels were predictors of mortality. An intact neurological function was a positive predictor of survival among nonsurgically treated patients (AUC >0.78). CONCLUSIONSAge and SCI emerged as significant predictors of early mortality in both surgically and nonsurgically treated patients. An intact neurological function served as a protective factor against early mortality in nonsurgically treated patients. Fractures at C3 or C6 vertebrae may impact mortality.

Emergency Department Thoracotomy: A National Trauma Databank analysis

IntroductionEmergency Department Thoracotomy (EDT) warrants further investigation in the pediatric population due to concerns about its futility. Our study evaluates how patient demographics, injury characteristics, and physiologic status influence pediatric EDT outcomes in blunt and penetrating trauma. MethodsThis retrospective study analyzed patients ≤19 years who received EDT within 1 hour of arrival to the ED from the National Trauma Data Bank. Cases were stratified by blunt and penetrating trauma. Descriptive statistics and univariate analysis were used to identify predictors of survival post-EDT. ResultsOf the 1,075 pediatric patients who underwent Emergency Department Thoracotomy (EDT), 79.6 % experienced penetrating trauma and 20.4 % blunt trauma, with survival rates at 25.9 % and 9.1 %, respectively. Survivors of penetrating trauma typically presented with more stable vital signs, such as pulse rate, oximetry, and Glasgow Coma Scale (GCS) scores, and lower Injury Severity Scores (ISS), all correlating with survival (p < 0.05). Survivors of blunt trauma were distinguished by higher respiratory rates and temperatures (p < 0.05). Risk factor analysis indicated that age-adjusted bradycardia, age-adjusted hypotension, and pre-hospital cardiac arrest were significant predictors of mortality across trauma types (penetrating trauma: OR = 18.7, 6.2, and 20.7; blunt trauma: OR = 12, 2.69, and 6.4, all p < 0.05). Notably, pre-hospital respiratory support was associated with a reduced risk of mortality for both types of trauma (OR = 0.32 for penetrating, and OR = 0.23 for blunt, p < 0.05). ConclusionsThe study affirms the significance of pre-hospital care, showing that stable vitals and respiratory support enhance pediatric thoracotomy outcomes. Ongoing research into pediatric-specific trauma protocols are needed. Type of StudyRetrospective cohort Level of EvidenceIII

Associations between body composition and intradialytic hypotension (IDH), and between IDH and prognosis, in hemodialysis patients

BackgroundPrevious studies describing relationships among body compositions, intradialytic hypotension (IDH), and mortality yielded inconsistent results. We studied associations between body composition and IDH, and between IDH and prognosis, in patients on hemodialysis (HD).MethodsParticipants were patients on maintenance HD and predilution online hemodiafiltration (HDF) (n = 303). IDH was defined as nadir systolic blood pressure (SBP) < 90 mmHg for ≥ 2 of 10 dialysis sessions during the exposure period (days 1–22). Clinical data at day 1 and post-dialysis body compositions using bioelectrical impedance analysis conducted once during the exposure period were collected. Differences between the IDH and non-IDH groups were analyzed. Kaplan–Meier survival curves of the IDH and non-IDH groups, logistic regression analyses of IDH, and Cox proportional hazard analyses of all-cause and cardiovascular (CV) mortality in all participants were also performed.ResultsIn all participants, the median (median [interquartile range]) age was 67 [56–74] years, median dialysis duration was 76 [37–145] months, and diabetes prevalence was 42.6% (129/303). Compared with the non-IDH group (n = 274), the IDH group (n = 29) had a lower mean pre-dialysis SBP during the exposure period, longer dialysis duration, lower serum albumin levels, and higher median fat tissue index (10.7 [8.6–14.9] versus 9.5 [6.8–11.9] kg/m2, P < 0.05). The IDH group had lower 3-year survival for all-cause and CV mortality (P < 0.05). When adjusted for mean pre-dialysis SBP, mean ultrafiltration volume during the exposure period, HDF, dialysis duration, and serum albumin, fat tissue index, and lean tissue index were associated with IDH (P < 0.05), but body mass index and overhydration/extracellular water were not. After additional adjustments for age, sex, and diabetes mellitus, only fat tissue index was a significant predictor for IDH [odds ratio: 1.12 (95% confidence interval 1.02–1.25), P < 0.05]. IDH was also a significant predictor of 3-year all-cause and CV mortality (P < 0.05).ConclusionsIncreased fat tissue index was a significant risk factor for IDH in HD and HDF patients. Furthermore, IDH was a significant predictor of 3-year all-cause and CV mortality in HD and HDF patients.

A Summed Score From Cardiopulmonary Exercise Test Parameters Predicts 1-Year Mortality in Newly Diagnosed Interstitial Lung Disease.

Cardiopulmonary exercise testing (CPET) is a unique diagnostic tool that assesses the functional capacity of the heart, lungs, and peripheral oxidative system in an integrated manner. However, the clinical utility of CPET for evaluating interstitial lung disease (ILD) remains uncertain. The objective of this study was to determine the predictive value of CPET for mortality in subjects with ILD. We prospectively enrolled subjects with ILD who underwent CPET at a tertiary medical center in Taiwan and followed up their survival status for 12 months. Mortality prediction was based on comparing CPET parameters between subjects who survived and those who died. We further analyzed CPET parameters that showed significant differences using receiver operating characteristic curves to identify their optimal cutoff values. A total of 106 newly diagnosed subjects with ILD underwent CPET, and the 1-y mortality rate was 7.5%. Six CPET variables were found to be significant predictors of mortality: peak oxygen consumption, oxygen pulse, end-tidal partial pressure of carbon dioxide, heart rate recovery 1 min after CPET, minute ventilation to carbon dioxide output slope, and functional aerobic impairment. We calculated a summed score by adding the number of CPET variables that exceeded their cutoff values. Subjects with a summed score of 6 had a 1-y survival rate of only 25%, whereas subjects with scores of 0-5 had a survival rate of 98%. In conclusion, the summed score represents a useful tool for screening patients with ILD who can undergo a CPET to determine their prognosis.

The role of urine chloride in acute heart failure

In our retrospective study, we aimed to investigate the relationship between urinary chloride (uCl−) and selected clinical and laboratory biomarkers, renal function, and patient outcomes in the acute heart failure (AHF) population. We divided 248 adult patients (≥ 18 years) with AHF into two groups: low uCl− (< 115 mmol/L) and high uCl−. The mean age of the patient group was 70.2 ± 12.6, and 182 patients were male (73.4%). Clinical endpoints included in-hospital mortality, one-year mortality, and a composite endpoint of one-year mortality and rehospitalization for heart failure. Patients were followed up for at least one year. Relevant clinical and baseline biomarker data were collected, including markers concerning inflammation, liver and kidney function, perfusion and congestion, iron status, cardiac remodeling, gasometry, renin and aldosterone. Low uCl− was associated with worse in-hospital outcomes, including higher in-hospital mortality (7.7% vs. 1.4%, p = 0.014), the need for inotropic support (20.19% vs. 2.08%, p ≤ 0.001), worsening of HF during therapy (17.31% vs. 4.86%, p ≤ 0.001), and the need for treatment in an intensive cardiac care unit (33.65% vs. 15.28%, p ≤ 0.001). Low uCl− was a significant predictor of one-year mortality (40.4% vs. 16.7%, p < 0.05) and the composite outcome (HR 2.42, 95% CI 1.43–4.08, p < 0.001). In the multivariable analysis, uCl− was independently associated with the risk of one-year mortality (HR 0.92, 95% CI 0.87–0.98, p < 0.05) and the composite outcome (HR 0.95, 95% CI 0.92–0.99, p < 0.05). Our findings suggest that low uCl− is a marker of more advanced heart failure, activation of the renin–angiotensin–aldosterone system and is related to worse one-year outcomes.

Protected cardiac surgery: strategic mechanical circulatory support to improve postcardiotomy mortality.

To examine the evolving landscape of cardiac surgery, focusing on the increasing complexity of patients and the role of mechanical circulatory support (MCS) in managing perioperative low cardiac output syndrome (P-LCOS). P-LCOS is a significant predictor of mortality in cardiac surgery patients. Preoperative risk factors, such as cardiogenic shock and elevated lactate levels, can help identify those at higher risk. Proactive use of MCS, rather than reactive implementation after P-LCOS develops, may lead to improved outcomes by preventing severe organ hypoperfusion. The emerging concept of "protected cardiac surgery" emphasizes early identification of these high-risk patients and planned MCS utilization. Additionally, specific MCS strategies are being developed and refined for various cardiac conditions, including AMI-CS, valvular surgeries, and pulmonary thromboendarterectomy. This paper explores the shifting demographics and complexities in cardiac surgery patients. It emphasizes the importance of proactive, multidisciplinary approaches to identify high-risk patients and implement early MCS to prevent P-LCOS and improve outcomes. The concept of protected cardiac surgery, involving planned MCS use and shared decision-making, is highlighted. The paper also discusses MCS strategies tailored to specific cardiac procedures and the ethical considerations surrounding MCS implementation.

Estimated Pulse Wave Velocity and All-Cause and Cardiovascular Mortality in the General Population.

Background: Carotid-femoral pulse wave velocity (cfPWV), acknowledged as a reliable proxy of arterial stiffness, is an independent predictor of cardiovascular (CV) events. Carotid-femoral PWV is considered the gold standard for the estimation of arterial stiffness. cfPWV is a demanding, time consuming and expensive method, and an estimated PWV (ePWV) has been suggested as an alternative method when cfPWV is not available. Our aim was to analyze the predictive role of ePWV for CV and all-cause mortality in the general population. Methods: In a stratified random sample of 1086 subjects from the general Croatian adult population (EH-UH study) (men 42.4%, average age 53 ± 16), subjects were followed for 17 years. ePWV was calculated using the following formula: ePWV = 9.587 - 0.402 × age + 4.560 × 10-3 × age2 - 2.621 × 10-5 × age2 × MBP + 3.176 × 10-3 × age × MBP - 1.832 × 10-2 × MBP. MBP= (DBP) + 0.4(SBP - DBP). Results: At the end of the follow-up period, there were 228 deaths (CV, stroke, cancer, dementia and degenerative diseases, COLD, and others 43.4%, 10.5%, 28.5%, 5.2%, 3.1%, 9.3%, respectively). In the third ePWV tercile, we observed more deaths due to CV disease than to cancer (20.5% vs. 51.04%). In a Cox regression analysis, for each increase in ePWV of 1 m/s, there was a 14% increase risk for CV death. In the subgroup of subjects with higher CV risk, we found ePWV to be a significant predictor of CV deaths (ePWV (m/s) CI 1.108; p < 0.029; HR 3.03, 95% CI 1.118-8.211). Conclusions: In subjects with high CV risk, ePWV was a significant and independent predictor of CV mortality.

Sarcoidosis Mortality in North Carolina: Role of Region, Race, and Other Sociodemographic Variables.

There is regional variability in sarcoidosis mortality across the United States. North Carolina ranks highly in sarcoidosis-related mortality, especially among African Americans (AA). We sought to determine any regional variability of sarcoidosis-related mortality and the relationship to sociodemographic determinants of health in North Carolina. Counties in North Carolina were categorized into three distinct geographic regions: Western, Piedmont, and Eastern. Sarcoidosis deaths were stratified by region, race, and gender. We conducted a mapping and cluster analysis utilizing ArcGIS; Global and Local Moran's I was used to determine the prevalence, spatial autocorrelation, and clustering of mortality vis-a-vis various sociodemographic variables, occupational/environmental exposures, and levels of atmospheric particulate matter less than 2.5 microns in size (PM2.5). Multivariate linear regression with exposure limited to the county level was used to determine the relationship between sarcoidosis mortality and the variables of interest. Eastern North Carolina (ENC) had the highest age-adjusted sarcoidosis mortality rate (1.16/100,000 versus 0.49/100,000 in Piedmont and 0.32/100,000 in the Western region) with statistically significant high-high mortality clusters (P < .001 for Global Moran's I). Several sociodemographic and occupational factors (proportion of AA, obese adults, and individuals working in nature) were more prevalent in ENC. Region and proportion of AA were the significant mortality predictors in our multivariate analysis. This was a cross-sectional study with exposure limited to the county level. Associations do not imply causality and risks cannot be extrapolated to the individual level. There is regional variability of sarcoidosis mortality in North Carolina. Eastern North Carolina had the highest mortality with high-high mortality clusters.

Prognostic factors for survival in NSCLC treated with immunotherapy: An institutional analysis.

e20591 Background: Immune check point inhibitors (ICIs) are the cornerstone of treatment for patients with advanced NSCLC. However, not all patients benefit from ICIs and some develop significant immune-mediated toxicities. There is limited data regarding prognostic factors in NSCLC patients treated with ICIs. Imaging features can complement clinical variables in predicting response to ICIs. This study aims to evaluate CEA, blood leukocyte markers, and novel CT-derived radiomic features as factors predictive of survival in this patient population. Methods: In this retrospective study, clinical data from patients with advanced stage NSCLC treated with ICIs at Stony Brook University Hospital from 2016 to 2021 were collected. Baseline and subsequent CEA (carcinoembryonic antigen), ANC (absolute neutrophil count), ALC (absolute lymphocyte count), NLR (neutrophil to lymphocyte ratio), AEC (absolute eosinophil count), and AMC (absolute monocyte count) were evaluated as independent prognostic factors. 3-D segmentation of ipsilateral lung lobe was obtained using U-Net and radiologist report of tumor location. 600 stable IBSI-standardized features were extracted from the region using PyRadiomics. The discriminative ability of clinical and image-derived variables was assessed using Kaplan-Meier survival and Cox proportional hazards regression analysis. Results: This study included 80 patients. Objective response rate (ORR) was 25.0% with 1-year OS of 58.0%. PD-L1 expression ≥ 50% was significantly associated with survival (p &lt; 0.02). Decrease in CEA (p &lt; 0.01) and 5% increase in AEC (p = 0.027) significantly correlated with survival. Age, sex, clinical stage, ANC, ALC, NLR, AMC did not significantly predict survival. Three image biomarkers that correlated with median enhancement of tissue on chest CT, and degree of tissue heterogeneity were significant predictors of mortality (p &lt; 0.02). A multivariable model with clinical inputs outperformed one with radiomic features only (C-index 0.70 vs. 0.64). Clinical and radiomic inputs together performed well in predicting survival (C-index 0.76). Conclusions: Changes in CEA and AEC were the strongest predictors of survival in advanced NSCLC patients treated with ICIs. This study suggests that combined clinical and radiomic biomarkers (quantifying local lobar heterogeneity) can identify patients most likely to benefit from immunotherapy. [Table: see text]

Inpatient mortality outcomes of patients with hepatocellular carcinoma with congestive heart failure: A nationwide retrospective cohort study.

e16256 Background: Chronic conditions create challenges in improving outcomes and treatment strategies for cancer patients. In the general population, for example, congestive heart failure (CHF) has been associated with poor cardiovascular health and thus increased mortality. However, its prognostic implications in patients with hepatocellular carcinoma (HCC) are less clear despite the physiological connection of the cardiohepatic system. This study aims to elucidate the relationship between CHF and mortality among HCC patients, offering insights that could inform clinical management strategies and improve care. Methods: The 2017 – 2019 versions of the National Inpatient Sample (NIS) database from the Healthcare Cost and Utilization Project (HCUP) were used to acquire the sample population. ICD-10 codes were used to identify diagnoses and procedures. The main sample population consisted of all patients diagnosed with HCC. A multivariate regression model was used (adjusted for age, sex, race, median household income based on patient ZIP code, Charleston Comorbidity Index score, hospital region, hospital teaching status based on rural/urban setting) to calculate the adjusted odds ratio (aOR) for outcomes. First, the association between CHF and inpatient outcomes was examined. Then mortality was calculated for HCC patients receiving therapeutic interventions (chemoradiation, liver transplant, radiation, or immunotherapy) based on CHF status. Results: There were 29,396 patients with HCC. Of this amount, 3,810 patients (13%) had CHF diagnoses. For inpatient procedures, 1,120 patients (3.8%) underwent a liver transplant, 265 (0.9%) received chemotherapy, 2 (0.01%) received immunotherapy, and 5 (0.02%) received radiation therapy. The cohort of CHF patients was found to be older than non-CHF patients (70.2 ± 0.3 years and 64.3 ± 0.2 years, respectively, with p &lt; 0.001). The multivariate regression analysis for the entire sample showed that the adjusted odds of mortality for HCC patients with CHF was 0.92 times that of not having CHF but not significant (95% CI 0.8 – 1.07, p = 0.3). The analysis was then applied to HCC patients receiving one of the four treatments during their hospitalization. Results showed that the CHF cohorts had increased odds of mortality if they received a liver transplant (aOR 20.3, 95% CI 2.5 – 165.7; p = 0.005) or chemotherapy (aOR 338.4, 95% CI 10.0 – 11428.9; p = 0.001). Conclusions: Having CHF is not a significant predictor of mortality in patients with HCC. However, when considering HCC patients undergoing liver transplantation, having comorbid CHF significantly carried about a 20-fold odds in mortality. In addition, HCC patients receiving chemotherapy had a 338-fold odds of death if they have CHF. Thus, careful consideration and planning must be taken into account to optimize patients’ cardiac status when considering treatment options.

Intra-operative Risk Factors Affecting Mortality after Heart Transplantation: A Referral Center Experience in Iran.

Heart transplantation is the preferred treatment for end-stage heart failure. This study investigated the intra-operative risk factors affecting post-transplantation mortality. This single-center retrospective cohort study examined 239 heart transplant patients over eight years, from 2011-2019, at the oldest dedicated cardiovascular center, Shahid Rajaee Hospital (Tehran, Iran). The primary evaluated clinical outcomes were rejection, readmission, and mortality one month and one year after transplantation. For data analysis, univariate logistic regression analyses were conducted. In this study, 107 patients (43.2%) were adults, and 132 patients (56.8%) were children. Notably, reoperation due to bleeding was a significant predictor of one-month mortality in both children (OR=7.47, P=0.006) and adults (OR=172.12, P<0.001). Moreover, the need for defibrillation significantly increased the risk of one-month mortality in both groups (children: OR=38.00, P<0.001; adults: OR=172.12, P<0.001). Interestingly, readmission had a protective effect against one-month mortality in both children (OR=0.02, P<0.001) and adults (OR=0.004, P<0.001). Regarding one-year mortality, the use of extracorporeal membrane oxygenation (ECMO) was associated with a higher risk in both children (OR=7.64, P=0.001) and adults (OR=12.10, P<0.001). For children, reoperation due to postoperative hemorrhage also increased the risk (OR=5.14, P=0.020), while defibrillation was a significant risk factor in both children and adults (children: OR=22.00, P<0.001; adults: OR=172.12, P<0.001). The median post-surgery survival was 22 months for children and 24 months for adults. There was no correlation between sex and poorer outcomes. Mortality at one month and one year after transplantation was associated with the following risk factors: the use of ECMO, reoperation for bleeding, defibrillation following cross-clamp removal, and Intensive Care Unit (ICU) stay. Readmission, on the other hand, had a weak protective effect.

In-hospital mortality patterns and risk factors in patients with cancer with COVID-19.

e23070 Background: The current body of knowledge regarding outcomes of patients with cancer and COVID-19 is conflicting, with some studies suggesting worsened mortality in those with both diseases This study seeks to shed light on the distinctive factors influencing in-hospital mortality in these two cohorts, providing crucial insights that can guide targeted interventions and enhance healthcare strategies for individuals facing the dual burden of cancer and COVID-19. Methods: We conducted a retrospective review of all patients hospitalized with COVID-19 at our institution between January 1, 2021 and April 1, 2023. Patients were stratified into a cohort of those with cancer and coexisting COVID-19 infection and those with solely COVID-19. The cancer and COVID-19 cohort included patients over the age of 18 who had received treatment for cancer within the last 6 months. Information regarding patient demographic characteristics and comorbidities, as well as in-hospital treatment characteristics and outcomes. We performed descriptive analysis and conducted Chi-squared and t-tests to assess for differences in baseline characteristics between cohorts, then developed Cox proportional hazards models to evaluate risk factors for in-hospital mortality. Results: 456 patients with cancer and COVID-19 were compared with 12,566 patients with only COVID-19. In-hospital mortality was 8.2% in the cancer cohort compared with 9.0% in the COVID-19 only cohort. Patients in the cancer cohort were more likely to be male (55.7% vs 48.2%, p = 0.004), older (71 vs 64 years, p &lt; 0.001) with histories of heart failure (27% vs 21%, p = 0.002), chronic kidney disease (50% vs 39%, p &lt; 0.001), COPD (35% vs 24%, p &lt; 0.001), and anemia (57% vs 24%, p &lt; 0.001). The cancer cohort experienced significantly longer length of stay (9 vs 7 days, p &lt; 0.001). Requirement of mechanical ventilation and ICU stay were similar between groups. Multivariate Cox proportional hazards ratios demonstrated similar mortality between cohorts (HR = 0.863, p = 0.361), with age (HR = 1.041, p &lt; 0.001) and history of acute myocardial infarction (HR = 1.275, p = 0.01) being significant predictors of death. Conclusions: Our study demonstrates the complex relationship between cancer, COVID-19, and in-hospital mortality. Despite differences in baseline characteristics between the cohorts, our findings reveal that, after adjusting for confounding factors, there is no significant disparity in mortality rates between patients concurrently battling cancer and COVID-19 and those solely afflicted by COVID-19. The identification of age and a history of acute myocardial infarction as significant predictors of mortality underscores the need for targeted interventions and vigilant management strategies for individuals facing the dual burden of cancer and COVID-19, ensuring equitable and effective healthcare outcomes in this complicated patient population.

Non-thyroidal Illness in Children with Congestive Heart Failure

To estimate the proportion and risk factors of non-thyroidal illness (NTI) in children with congenital heart disease (CHD) with congestive heart failure (CHF). This study enrolled children (6 weeks to 60 months age) with CHD and CHF. The clinical profile and disease severity, derived from the Pediatric Early Warning Score (PEWS) was recorded. Baseline blood samples were taken within 24 hours of hospitalization and evaluated for free tri-iodothyronine (fT3), free thyroxine (fT4), thyroid stimulating hormone (TSH), N-terminal pro-brain natriuretic peptide (NT pro-BNP) and reverse T3. A total of 80 (64 acyanotic CHD) children of median (interquartile range) age 5 (2.5, 8.0) months were enrolled. NTI was seen in 37 (46%) of whom 27 had low fT3 levels. The proportion of NTI was highest in children with severe disease (20/30), than moderate (4/9) or mild disease (13/41) (p=0.018). Ten (27%) patients with NTI died compared to 2 (4.7%) without NTI with unadjusted odds ratio (OR) [95% confidence interval (CI)] 7.593 (1.54, 37.38); p=0.006. After adjusting for NTI, shock and NT-pro-BNP levels, PEWS was the only significant predictor of mortality (OR: 1.41, 95% CI: 1.03, 1.92; p=0.032). Linear regression for fT3 identified a significant relationship with log NT-BNP [beta -3.541, (95% CI: -1.387, -0.388)] and with TSH [beta 2.652 (95% CI: 0.054, 0.383)]. The cutoff (area under the curve, 95% CI) that predicted mortality were fT4 <14.5 pmol/L (0.737, 0.60, 0.88), fT3/rT3 index <1.86 pg/ng (0.284, 0.129, 0.438) and NT pro-BNP >3725 pg/mL (0.702; 0.53, 0.88). NTI was present in a significant proportion of children with CHD and CHF. fT3 level was significantly associated with NTBNP levels and thus severity of CHF.

Gupta Perioperative Risk for Myocardial Infarction or Cardiac Arrest Score is a Long-Term Cardiovascular Risk Predictor After Aortoiliac Revascularization

Gupta Perioperative Risk for Myocardial Infarction or Cardiac Arrest (MICA) is a validated self-explanatory score applied in cardiac or noncardiac surgeries. This study aims to assess the predictive value of the MICA score for cardiovascular events after aortoiliac revascularization. This prospective cohort underwent elective aortoiliac revascularization between 2013 and 2021. Patients' demographic, clinical characteristics, and outcomes were registered. The patients were divided into 2 groups according to the MICA score using optimal binning. Survival analysis to test for time-dependent variables and multivariate Cox regression analysis for independent predictors were performed. This study included 130 patients with a median follow-up of 55months. Preoperative MICA score was ≥6.5 in 41 patients. MICA ≥6.5 presented a statistically significant association, with long-term occurrence of acute heart failure (HR=1.695, 95% CI 1.208-2.379, P=0.002), major adverse cardiovascular events (HR=1.222, 95% CI 1.086-1.376, P<0.001), and all-cause mortality (HR=1.256, 95% CI 1.107-1.425, P<0.001). Multivariable Cox regression confirmed MICA as a significant independent predictor of long-term major adverse cardiovascular events (aHR=1.145 95% CI 1.010-1.298, P=0.034) and all-cause mortality (aHR=1.172 95% CI 1.026-1.339, P=0.020). The MICA score is a quick, easy-to-obtain, predictive tool in identifying patients with a higher risk of postaortoiliac revascularization cardiovascular events, such as acute heart failure, major adverse cardiovascular events, and all-cause mortality. Additional research for the validation of the MICA score in the context of aortoiliac revascularization and specific interventions is necessary.

Association between Metabolic-Dysfunction-Associated Steatotic Liver Disease and Hepatic Cancer: Current Concepts and Future Challenges.

Background: This study systematically reviewed the association between metabolic-dysfunction-associated steatotic liver disease (MASLD) and the development of hepatic cancer. Previous research has highlighted MASLD as a predisposing condition. Aim: To collect recent global data on the relationship between MASLD and hepatic cancer. Methods: A systematic review was conducted, which included an analysis of studies on the relationship between MASLD and the incidence of hepatic cancers, focusing on the role of fibrosis and MASLD severity as predictors of cancer risk. Following standard methodological frameworks for the assessment of longitudinal studies, the review gathered information on fibrosis scores, hepatocellular carcinoma (HCC) incidence, and other types of hepatic neoplasms. Results: A total of 522 studies were initially identified, of which 6 studies were appropriate for the review. They collectively revealed that the stage of fibrosis in MASLD is a significant independent predictor of mortality and liver-related events, with higher fibrosis stages correlating with greater risk. Longitudinal data showed that increases in FIB-4 scores were linked to a higher risk of developing HCC and cirrhosis. MASLD was also associated with an increased risk of non-hepatic cancers such as colorectal cancer in males and breast cancer in females. The severity of MASLD was found to be a modifiable risk factor for biliary tract cancer (BTC), with the risk further amplified by diabetes. Moreover, lifestyle factors and comorbidities, such as smoking and diabetes, were identified as modifiers of cancer risk in MASLD patients. Conclusions: The systematic review identified the association between MASLD and an elevated risk of hepatic cancer, establishing a clear link between the severity of liver fibrosis and the incidence of HCC and other hepatic neoplasms. This supports the need for screening for hepatic cancer in patients with MASLD, particularly in the presence of advanced fibrosis or other risk-modifying factors.

Low Bone Mineral Density as a Predictor of Mortality and Infections in Stroke Patients: A Hospital-based Study.

Low bone mineral density (BMD) has been linked to elevated risks of mortality and infections in the general population; however, its association with these outcomes in stroke patients remains unclear. This study aims to investigate the correlation between low BMD and risks of mortality and infections among stroke patients in a Taiwanese cohort. In this single-centered retrospective cohort study, 905 stroke patients from a Taiwanese database (2000-2022) were analyzed. Patients were divided based on BMD measurements of the femur and spine. The primary outcome was all-cause mortality, and secondary outcomes included urinary tract infection (UTI) and pneumonia. Accelerated failure time regression model analyses evaluated the association between BMD and these outcomes, while the Kaplan-Meier method and log-rank test assessed survival differences between groups. Among the participants (average age 76.1 years, 70.5% female), 33.82% had osteopenia and 55.25% had osteoporosis. Stroke patients with lower spine and right femur BMD had significantly reduced survival rates, especially when the BMD value fell below 0.842 g/cm2 (spine), and 0.624 g/cm2 (right femur), respectively. Regarding secondary outcomes, lower spine BMD was significantly associated with an increased risk of UTI. Low BMD, particularly in the femur and spine, is a significant predictor of mortality and UTI in stroke patients. These findings highlight the importance of assessing and managing BMD in stroke patients to improve outcomes and reduce complications.