Predictor Of Mortality Research Articles

Physician–patient racial concordance and newborn mortality

The racial gap in infant mortality is a pressing public-health concern, and [B. N. Greenwood et al., Proc. Natl. Acad. Sci. U.S.A. 117, 21194-21200 (2020), 10.1073/pnas.1913405117] suggest that Black newborns are more likely to survive if cared for by Black physicians after birth, even in models that control for numerous variables, including hospital and physician fixed effects, and the 65 most common comorbidities affecting newborns (as described by International Classification of Disease codes). We acquired the data used in the study, covering Florida hospital discharges from 1992 through the third quarter of 2015, to replicate and extend the analysis. We find that the magnitude of the concordance effect is substantially reduced after controlling for diagnoses indicating very low birth weight (<1,500 g), which are a strong predictor of neonatal mortality but not among the 65 most common comorbidities. In fact, the estimated effect is near zero and statistically insignificant in the expanded specifications that control for very low birth weight and include hospital and physician fixed effects.

Association between triglyceride glucose-body mass index and all-cause mortality in critically ill patients with acute pancreatitis

This study delves into the correlation between the triglyceride glucose-body mass index (TyG-BMI) index upon hospital admission and clinical outcomes among this patient population. We investigated the association between TyG-BMI at hospital admission and clinical outcomes in this patient group, and analyzed data from the Medical Information Mart for Intensive Care IV database, identifying acute pancreatitis (AP) patients admitted to ICUs and stratifying them by TyG-BMI quartiles. We assessed the relationship between TyG-BMI and mortality (both in-hospital and ICU) using Cox proportional hazards regression and restricted cubic splines. The cohort included 419 patients, average age 56.34 ± 16.62 years, with a majority being male (61.58%). Hospital and ICU mortality rates were 11.93% and 7.16%, respectively. Higher TyG-BMI was positively correlated with increased all-cause mortality. Patients in the highest TyG-BMI quartile had significantly greater risks of in-hospital and ICU mortality. An S-shaped curve in the spline analysis indicated a threshold effect at a TyG-BMI of 243 for increased in-hospital mortality risk. TyG-BMI is a reliable predictor of both in-hospital and ICU mortality in severely ill AP patients, suggesting its utility in enhancing risk assessment and guiding clinical interventions for this vulnerable population.

Outcomes of Patients with End-Stage Renal Disease Hospitalized with COVID-19 in Ahvaz Razi Hospital from February 2020 to May 2021

Background: End-stage renal disease patients on maintenance hemodialysis (ESRD-HD) are at very high risk for COVID-19 infections due to their older age and comorbidities such as diabetes and hypertension. Objectives: This study aimed to investigate the outcomes of COVID-19 in ESRD-HD patients. Methods: This was a retrospective study conducted on ESRD-HD patients aged 18 years and older who were referred to Razi Hospitals in Ahvaz from February 2020 to May 2021 for hemodialysis and diagnosed with COVID-19. Patient information was extracted retrospectively from their medical records. Results: A total of 180 patients were examined. The average age of the patients was 61.5 years, and 118 (65.6%) were men. The most common underlying condition was hypertension (81.1%). The most prevalent clinical symptom was shortness of breath (70.6%), followed by cough (47.8%). Seventy-five patients (41.66%) were admitted to the intensive care unit (ICU), with an average stay of 5 days. Hypertension and ischemic heart disease were significantly more common among patients admitted to the ICU (P = 0.008 and 0.015, respectively). In-hospital mortality was 32.8%. Advanced age, fever, shortness of breath, cough, and the need for a ventilator were significant predictors of mortality in hospitalized ESRD patients with COVID-19 (P = 0.016, 0.033, 0.001, 0.012, and 0.011, respectively). Conclusions: Our study demonstrated that ESRD-HD patients with COVID-19 are at high risk for ICU admission and mortality. Advanced age and clinical symptoms such as fever, shortness of breath, cough, and the need for a ventilator significantly predict in-hospital mortality in these patients.

Outcomes after SynCardia® temporary total artificial heart implantation: A 20-year single-center experience in 196patients.

The SynCardia® temporary total artificial heart (TAH) serves as a mechanical circulatory support device for patients suffering from irreversible biventricular failure. This retrospective study analyzed 196 consecutive patients who underwent TAH implantation at our center from 2001 to 2021. We assessed survival rates and all-cause mortality during TAH support, including survival post-heart transplantation. The median age of patients was 55 years, with 88% being male. The primary diagnoses included cardiomyopathy (43.9%), acute myocardial infarction (26.5%), and postcardiotomy heart failure (15.5%). At implantation, 87.2% of patients were classified as INTERMACS Profile 1. The median duration of support was 96 days (IQR: 23-227). Survival rates at 1, 6, and 12 months were 72%, 41%, and 34%, respectively. Postoperative rethoracotomy was necessary in 44.4% of patients; 39.3% experienced neurological events and 24.6% developed gastrointestinal bleeding. Overall, 64.8% of patients died while on support, primarily due to multiple organ failure (55.9%). Factors such as older age, higher bilirubin levels, postcardiotomy and specific underlying diagnoses were independent predictors of mortality during TAH support. On a positive note, 35.2% of patients underwent successful heart transplants, with 1-, 5-, and 10-year posttransplant survival rates of 65%, 58%, and 51%, respectively. While high mortality rates persist among patients with biventricular failure, the SynCardia® TAH offers a viable interim solution for critically ill patients, particularly those who can be successfully bridged to heart transplantation.

Differential prognostic value of residual nodal burden in breast cancer subtypes.

Residual cancer burden (RCB) index after neoadjuvant chemotherapy (NAC) is highly prognostic in patients with breast cancer (BC) but does not account for subtype or the precise impact of residual nodal burden (RNB). We aimed to precisely define the effect of RNB on survival by subtypes. Adult women with non-metastatic BC diagnosed from 2006 to 2021 in the National Cancer Database (NCDB) who received NAC followed by surgery within 8months were included. RNB was also evaluated as a predictor of mortality with multivariable logistic regression. Kaplan-Meier analyses were performed to compare overall survival. 51,917 patients were included. After adjustment, ypN stage was the strongest predictor of mortality, with an odds ratio (OR) of 2.24 (95% CI 2.08-2.41) for ypN1 vs ypN0 and increased with increasing nodal burden-ypN2 vs ypN0 OR 5.03, 95% CI 4.60-5.51 and ypN3 vs ypN0 OR 8.85, 95% CI 7.88-9.93. Stratification of survival curves with higher RNB is most pronounced for triple-negative breast cancer (TNBC) with an absolute difference of 64% in 5-year overall survival between ypN0 and ypN3 patients, and lowest for the ER+/HER2- subtype with a 25% absolute difference in 5-year OS between ypN0 and ypN3 patients. On interaction analysis, ypN status was a stronger predictor of mortality for the TNBC subtype compared to other subtypes. RNB has a significantly different impact on survival by BC subtypes. Future study of optimal therapeutic strategies for patients with residual nodal disease after NAC should account for subtype-specific differences in prognosis.

Evaluating the role of biological age in osteoporosis risk among middle-aged and older adults: A nationwide perspective

ObjectivesThis study aimed to investigate the association between biological age acceleration and osteoporosis (OP) risk in middle-aged and older adults using data from the National Health and Nutrition Examination Survey (NHANES). The research focused on analyzing the relationship between two biological aging metrics, Klemera-Doubal Method Age (KDMAge) and Phenotypic Age (PhenoAge), and OP risk. MethodsThe study analyzed data from NHANES, which included 6550 participants aged 50 and above from survey cycles 2005–2010 and 2017–2018. Linear and logistic regression were used to investigate the relationship between biological age acceleration (KDMAgeAccel and PhenoAgeAccel) and OP. Subgroup analysis was performed by age, gender and other factors. Multivariable Cox regression analysis yielded Hazard Ratios (HRs) relating biological age acceleration to mortality were evaluated. The study also considered the mediating roles of body mass index (BMI). ResultsKDMAgeAccel (odds ratio [OR] = 2.34, 95 % CI, 1.72–3.18) and PhenoAgeAccel (OR = 2.03, 95 % CI, 1.48–2.78) were significantly associated with increased OP risk and reduced bone mineral density (BMD). Specifically, higher KDMAgeAccel and PhenoAgeAccel were linked to higher OP prevalence and lower BMD at multiple sites. Subgroup analyses indicated that the association between accelerated biological age acceleration and OP risk was consistent across different demographics. Mediation analysis revealed that BMI partially mediated the relationship between accelerated biological age and OP, although other mechanisms are likely involved. Statistical analysis indicated that individuals with higher biological age metrics had increased mortality risk related to OP. ConclusionThe findings suggest that accelerated biological age is a robust predictor of OP risk and related mortality. KDMAgeAccel and PhenoAgeAccel could serve as valuable biomarkers for identifying individuals at high risk for OP, guiding preventive strategies.

Local social vulnerability as a predictor for cancer-related mortality among US counties.

Local social vulnerability as a predictor for cancer-related mortality among US counties.

Predicting mortality in geriatric patients with fever in the emergency departments: a prospective validation study

ObjectiveEmergency physicians are always faced with the challenge of choosing the appropriate disposition for elderly patients in order to ensure an acceptable care plan and effective use of resources. A clinical decision rule, Geriatric Fever Score (GFS) has been proposed but not validated to help ED physicians with decision-making. This rule employs leukocytosis, severe coma, and thrombocytopenia as predictors of 30-day mortality. Through our study determines the performance of this clinical prediction rule in a prospective study in a setting different from where it was developed.Method and materialsIn this prospective cohort study in a 1200-bed tertiary care, patients older than 65 years old who visited the ED with fever were enrolled. All elements of the rule were collected and the total score was calculated for each patient. Patients were also categorized as low risk (score 0–1) or high risk (score ≥ 2). Thirty-day follow-up was performed to determine the patient outcome (survival or mortality).ResultsA total of 296 patients were included in our final analysis. The mortality rate was 33.1% for patients with a Score of 0, 42.1% for a score of 1, 57.1% for a score of 2, and 100% for a score of 3. When divided into two risk groups, patients’ mortality rates were as follows: low risk group 37.9% and high-risk group 40.5%.ConclusionOur study showed that elderly patients who present to ED with fever and have a score of 2 or higher on the Geriatric Fever Score are at higher risk of mortality at 30 days.

The influence of comorbidities on treatment outcomes in patients with tuberculosis

Aim. To study the association of comorbidities and treatment outcomes in tuberculosis (TB) patients. Materials and methods. A retrospective study includes all TB patients aged 18 years and older registered for treatment in Moscow in period 2021 the end of the 3rd quarter of 2022 using data of regional epidemiological TB monitoring system, a total of 3039 patients. The frequency and spectrum of comorbidities, its impact on the risk of adverse treatment outcome (ATO) and mortality using univariate and regression analysis were assessed. Results. Comorbidities were identified in 1528 (50.3%) patients (95% confidence interval – CI 48.5–52.1); HIV infection (18.0%), chronic nonspecific lung disease (9.6%) and cardiovascular disease (8.2%) were predominant. The presence of comorbid pathology increased the odds of uneffective treatment (odds ratio – OR 2.56, 95% CI 2.22–3.03) and death (OR 2.45, 95% СI 1.67–3.59). Independent risk factors for ATO were HIV infection (OR 4.10, 95% CI 3.36–5.10), substance use (OR 2.57, 95% CI 1.70–3.66), chronic nonspecific lung disease (OR 1.39, 95% CI 1.04–1.88), diabetes mellitus (OR 1.69, 95% CI 1.15–2.48), liver pathology (OR 2.10, 95% CI 1.46–3.03), mental illness (OR 2.01, 95% CI 1.32–3.06). The death rate was 13.4%; the most significant predictors of mortality were HIV infection (OR 3.89, 95% CI 2.42–6.22) and liver disease (OR 1.90, 95% CI 1.27–2.82). A comorbidome model was constructed to assess the importance of different comorbidities for patient prognosis. Conclusion. The presence of comorbidity (predominantly HIV infection and liver disease) is a significant risk factor for ATO and mortality in TB patients, which should be taken into account when organizing and providing TB care to comorbid patients.

Stability and Volatility in the Contextual Predictors of Working-Age Mortality in the United States.

The contextual predictors of mortality in the United States are well documented, but the COVID-19 pandemic may have upended those associations. Informed by the social history of disease framework (SHDF), this study examined how the importance of county contexts on adult deaths from all causes, drug poisonings, and COVID-19-related causes fluctuated during the pandemic. Using 2018 to 2021 vital statistics data, for each quarter, we estimated associations between county-level deaths among adults ages 25 to 64 and prepandemic county-level contexts (economic conditions, racial-ethnic composition, population health profile, and physician supply). The pandemic significantly elevated the importance of county contexts-particularly median household income and counties' preexisting health profile-on all-cause and drug poisoning deaths. The elevated importance of household income may be long-lasting. Contextual inequalities in COVID-19-related deaths rose and then fell, as the SHDF predicts, but rose again along with socio-political disruptions. The findings support and extend the SHDF.

Clinical impact of deep learning-derived intravascular ultrasound characteristics in patients with deferred coronary artery

Prognostic markers for long-term outcomes are lacking in patients with deferred (nonculprit) coronary artery lesions. This study aimed to identify the morphological criteria for predicting adverse outcomes and validate their clinical impact.Using deep learning models, we extracted geometrical parameters and maximal attenuation (or calcium) burden index (ABI-max or CBI-max) from the intravascular ultrasound (IVUS) images of nonculprit vessels in 1115 patients. The endpoints included cardiac death, myocardial infarction, and target vessel revascularization of nonculprit vessel.Cardiac death occurred in 27 (2.4 %) patients at 3 years and 39 (3.5 %) patients at 5 years. At 5 years, the cardiac death-free survival rate was significantly lower with ABP-max ≥11.37 % vs. < 11.37 % (90.0 % vs. 98.7 %), CBI-max ≥13.40 % vs. < 13.40 % (92.8 % vs. 98.4 %), and percent atheroma volume ≥ 51.35 % vs. < 51.35 % (94.0 % vs. 97.7) (all log-rank p < 0.001). The independent predictors of 5-year cardiovascular mortality were age (hazard ratio [HR] 1.21), female sex (HR 0.33), history of heart failure (HR 6.06), chronic kidney disease (HR 18.28), ABI-max (HR 1.04), and CBI-max (HR 1.05). The independent determinants of 5-year target vessel revascularization of nonculprit vessel were fractional flow reserve (HR 0.95 per 0.01 increase), minimal lumen area (HR 0.63), and plaque burden (HR 1.15).In patients with nonculprit coronary artery lesions, a large burden of attenuated or calcified plaques predicted cardiac mortality, while IVUS geometry was associated with repeat revascularization. Thus, deep learning–based IVUS analysis of the whole target vessel may help clinicians identify high-risk lesions.

A systematic review and meta-analysis of the effect of hyperglycemia on admission for acute myocardial infarction in diabetic and non-diabetic patients

IntroductionRegarding a potential relationship between diabetes and the prognostic significance of hyperglycemia in patients presenting with acute myocardial infarction (AMI), there is still debate. Therefore, we aimed in this study to demonstrate the effect of hyperglycemia on different outcomes in AMI patients, whether they are diabetic or not.MethodsWe searched PubMed, Web of Science, and Scopus using the following search strategy: “Diabetes” or “Diabetic” AND “Acute myocardial infarction” OR “AMI” AND “hyperglycemia” OR “glucose level” to find eligible articles that needed to go through the screening process for inclusion in our study. We conducted a meta-analysis of 19 included studies from Japan, Germany, China, the United Kingdom, and others using Review Manager version 5.4 software, pooling the mean difference in continuous variables, the number and total of dichotomous variables to measure the odds ratio (OR), and the generic inverse variance of OR or hazard ratio (HR) as reported in the included studies.ResultsThe mean age of the participants ranged from 56.3 to 72.3 years old. The difference in blood glucose levels between diabetes and non-diabetes patients was found to be statistically significant, with an SMD of 1.39 (95%CI: 1.12, 1.66, p < 0.00001). In diabetic patients, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.92 (95% CI: 1.45, 2.55, p < 0.00001) and an OR of 1.76 (95% CI: 1.15, 2.7, p = 0.01). In non-diabetic patients admitted with AMI, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.56 (95% CI: 1.31, 1.86, p < 0.00001) and an OR of 2.89 (95% CI: 2.47, 3.39, p < 0.00001). AMI patients who were diabetic were statistically more likely to have a major adverse cardiovascular event (MACE) (HR = 1.9; 95% CI: 1.19–3.03; p = 0.007). AMI patients who were not diabetic were also statistically more likely to have a MACE (HR = 1.6; 95% CI: 1.15–2.23, p = 0.006).ConclusionHyperglycemia in AMI patients is a predictor of worse outcomes, including MACE and mortality, regardless of whether these patients are diabetic or not. In these patients, some factors act as predictors of mortality, including older age, higher glucose levels on admission, and a high Killip class.

Elevated total bile acid levels as an independent predictor of mortality in pediatric sepsis.

The close relationship between bile acid (BA) metabolism and sepsis has been investigated in recent years, as knowledge of the role of the gut microbiome and metabolomics in sepsis has grown and become more comprehensive. Patients with sepsis who were admitted to the PICU of the Children's Hospital, Zhejiang University School of Medicine from January 2016 to December 2021 were enrolled in this study. Preoperative non-infectious pediatric patients undergoing elective surgeries in our hospital's department of surgery were recruited as controls during the same period. Clinical data were collected and analyzed. 702 children were enrolled, comprising 538 sepsis survivors, 164 sepsis fatalities, and 269 non-infected controls. Statistical analysis revealed that total BA (TBA) increased in both the early and severe stages of pediatric sepsis. In the severe stage, TBA (OR = 2.898, 95% CI 1.946-4.315, p < 0.05) was identified as a risk factor for sepsis. A clinical model identified TBA (the cut-off value is >17.95 µmol/L) as an independent predictor of sepsis mortality with an AUC of 0.842 (95% CI 0.800-0.883), sensitivity of 54.9%, specificity of 96.6%, and HR = 7.658 (95% CI 5.575-10.520). The study showed that elevated TBA was associated with a heightened risk of mortality in pediatric sepsis. Many clinical indicators show differences between children with sepsis and the control group, among which the difference in serum total bile acid levels is the most significant. During the hospitalization of the patients, the overall bile acid levels in the sepsis death group were higher and exhibited greater fluctuations compared to the survival group, with significant differences. Serum total bile acid levels can serve as effective biomarker for predicting the prognosis of children with sepsis.

The More Vulnerable, the More Fatal: Predictors for Mortality in Patients with Dreadful Infective Endocarditis

The More Vulnerable, the More Fatal: Predictors for Mortality in Patients with Dreadful Infective Endocarditis

Predictors of mortality and severe illness from Escherichia coli sepsis in neonates.

Neonatal Escherichia coli (E. coli) sepsis is increasing. There is limited data on the factors contributing to increased mortality and severity of illness in neonatal E. coli sepsis. A retrospective review of neonates (<30 days) admitted to a Level IV NICU in the United States from 2008 to 2022 diagnosed with E. coli bloodstream or cerebrospinal fluid infection was conducted. Primary outcome was defined as mortality from or severe illness during E. coli infection (defined as a need for inotropic support or metabolic acidosis). E. coli neonatal sepsis rate increased from 2008 to 2022 (average of 1.12 per 1000 live births). The primary outcome, which occurred in 57.4% of cases, was independently associated with prematurity, neutropenia, and thrombocytopenia. Ampicillin resistance was not associated with the primary outcome. GA, neutropenia, and thrombocytopenia but not ampicillin resistance, are associated with mortality or severe illness from E. coli sepsis.

The long-term impact of an antimicrobial stewardship program in febrile neutropenia: an 8 years follow up.

To describe the long-term effects of an ASP among febrile neutropenia (FN) patients. A quasi-experimental study was conducted between 2015 and 2023 at a tertiary care hospital in Istanbul, Türkiye. The ASP was implemented for FN patients, and the effects were assessed before and after the ASP interventions, which included FN clinical pathways and regular multi-disciplinary meetings with relevant healthcare workers. A total of 489 FN episodes of 290 patients were included, 42% were female, and the mean age was 56 years (SD: 15, range: 18-89 years). After the intervention, the rate of appropriate antimicrobial therapy at the levels of starting (p = 0.005), switching (p < 0.001), and de-escalation/discontinuation, (p < 0.001) significantly increased. Another positive impact of the ASP was a significant reduction in candidemia (from 4.88 to 0.74, p = 0.004), as well as a significant reduction in the 90-day mortality rate (from 19 to 5%, p < 0.001). In multivariate analysis, having a gram-negative bloodstream infection, prolonged days with fever, and a high risk for neutropenia were found to be significant predictors of 90-day mortality, while follow-up with ASP significantly reduced mortality. Implementation of ASP led to reduced candidemia and LOS without increasing mortality, even in a country with a high rate of antimicrobial resistance. Implementation of sustainable ASP for FN patients is critical in combating antimicrobial resistance.

External validation of the BE-ALIVE score for predicting 30-day mortality in patients presenting with acute coronary syndromes

IntroductionThe BE-ALIVE score is an additive scoring system for estimating 30-day mortality in patients presenting with an acute coronary syndrome (ACS) [1]. However, it had only previously been tested on an internal validation cohort. The aim was to assess the scoring system on an external validation cohort. MethodsThe scoring system comprises six domains: (1) Base Excess (1 point for < −2 mmols/L), (2) Age (<65 years: 0 points, 65–74: 1 point, 75–84: 2 points, ≥ 85: 3 points), (3) Lactate (<2 mmols/L: 0 points, 2–4.9: 1 point, 5–9.9: 3 points, ≥ 10: 6 points), (4) Intubated & Ventilated (2 points), (5) Left Ventricular function (normal or mildly impaired: -1 point, moderately impaired: 1 point, severely impaired: 3 points) and (6) External / out of hospital cardiac arrest (1 point).We applied the BE-ALIVE score was applied to 205 consecutive patients at a different institution. ResultsCalibration was strong, with an observed to expected ratio of 1.01, a calibration slope of 1.26 and calibration in the large of −0.03. The Spiegelhalter's Z-statistic was −0.95 (p = 0.34). The AUC was 0.95 (0.92–0.98) in the external validation cohort versus 0.90 (0.85–0.95) during internal validation.Overall performance was excellent with a Brier score of 0.07 versus 0.06 during internal validation. The negative predictive value for 30-day mortality of a BE-ALIVE score < 4 was 98 %, with a positive predicted value of a score ≥ 10 of 95 %. ConclusionsThe BE-ALIVE score remains a robust predictor of 30-day mortality in an external validation cohort.

The influence of patient sex on pulmonary embolism evaluation, treatment modality, and outcomes.

Pulmonary embolism (PE) is the third-leading cause of cardiovascular mortality, accounting for 100,000 deaths per year in the United States. Although sex-based disparities have previously been described in this population, it is unclear if these differences have persisted with the expansion of PE evaluation and treatment approaches. The purpose of this study is to investigate sex-based differences in the evaluation, management, and outcomes of patients with acute PE. We performed a retrospective analysis of patients enrolled in the national Pulmonary Embolism Response Team (PERT) Consortium database between October 2015 and October 2022. We evaluated patient demographics, clinical characteristics, diagnostic imaging performed, treatment at several phases of care (pre-PERT, PERT recommendations, and post-PERT), and clinical outcomes. A total of 5722 patients with acute PE (2838 [49.6%] women) from 35 centers were included. There were no differences in PE risk category between male and female patients. Women were less likely to undergo echocardiography (76.9% vs 73.8%) and more likely to receive no anticoagulation prior to PERT evaluation (35.5% vs 32.9%). PERT teams were more likely to recommend catheter-based interventions for men (26.6% vs 23.1%), and men were more likely to undergo these procedures (21.9% vs 19.3%). In a multivariable analysis, female sex was a predictor of in-hospital mortality (OR 1.53, 95% CI 1.06 to 2.21). In this analysis, we identified sex-based differences in the evaluation and management of patients presenting with acute PE. Subsequently, women presenting with acute PE were at higher risk of in-hospital mortality.

Imaging and Biomarkers: The Assesment of Pulmonary Embolism Risk and Early Mortality.

Background and Objectives: Pulmonary embolism (PE) incidence has been increasing in the last 10 years. Computed thoracic pulmonary angiography (CTPA) had a major role in PE diagnosis and prognosis. The main purpose of this study was as follows: the prognostic value of a CTPA parameter, pulmonary artery obstruction index (PAOI), in PE risk assessment and the predictive accuracy of biomarkers, D-dimer and cardiac Troponin T (c-TnT), in 7-day mortality. A second objective of the research was to investigate the relationship between imaging by PAOI and these biomarkers in different etiologies of PE. Materials and Methods: This study comprised 109 patients with PE, hospitalized and treated between February 2021 and August 2022. They had different etiologies of PE: deep vein thrombosis (DVT); persistent atrial fibrillation (AF); chronic obstructive pulmonary disease (COPD) exacerbation; COVID-19; and cancers. The investigations were as follows: clinical examination; D-dimer testing, as a mandatory method for PE suspicion (values ≥500 µg/L were highly suggestive for PE); c-TnT, as a marker of myocardial injury (values ≥14 ng/L were abnormal); CTPA, with right ventricle dysfunction (RVD) signs and PAOI. Treatments were according to PE risk: systemic thrombolysis in high-risk PE; low weight molecular heparins (LWMH) in high-risk PE, after systemic thrombolysis or from the beginning, when systemic thrombolysis was contraindicated; and direct oral anticoagulants (DOAC) in low- and intermediate-risk PE. Results: PAOI had a high predictive accuracy for high-risk PE (area under curve, AUC = 0.993). D-dimer and cTnT had a statistically significant relationship with 7-day mortality for the entire sample, p < 0.001, and for AF, p = 0.0036; COVID-19, p = 0.003; and cancer patients, p = 0.005. PAOI had statistical significance for 7-day mortality only in COVID-19, p = 0.045, and cancer patients, p = 0.038. The relationship PAOI-D-dimer and PAOI-c-TnT had very strong statistical correlation for the entire sample and for DVT, AF, COPD, and COVID-19 subgroups (Rho = 0.815-0.982). Conclusions: PAOI was an important tool for PE risk assessment. D-dimer and c-TnT were valuable predictors for 7-day mortality in PE. PAOI (imaging parameter for PE extent) and D-dimer (biomarker for PE severity) as well as PAOI and c-TnT (biomarker for myocardial injury) were strongly correlated for the entire PE sample and for DVT, AF, COPD, and COVID-19 patients.

Evaluation of hospital quality of care outcomes in a teaching hospital in Ethiopia: a retrospective database study

ObjectivesWe aimed to evaluate hospital mortality rates, readmission rates and length of hospital stay (LOS) among adult medical patients admitted to a teaching hospital in Ethiopia.DesignWe performed a retrospective study...