Higher Odds Of Mortality Research Articles

Predictors and Outcomes of Extubation Failure in Preterm Neonates: A Systematic Review.

Extubation failure (EF) is common in preterm neonates and may be associated with adverse outcomes. To systematically review and meta-analyze the existing literature on predictors and outcomes of EF in preterm neonates. MEDLINE, Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Embase (OvidSP), CINAHL (EBSCOHost), and Cochrane Library (Wiley) from 1995 onward. The search strategy was developed by a reference librarian. Experimental or observational studies reporting on predictors and/or outcomes related to EF (defined as reintubation within 7days) in preterm neonates less than 37weeks were eligible. Predictors included machine learning (ML) algorithms and lung ultrasound (LUS). Main outcome of interest was association of EF with mortality and/or bronchopulmonary dysplasia (BPD). Studies identified by the search strategy were screened based on title and abstract. Data from included studies were extracted independently by 2 authors, along with adjudication of risk of bias. RevMan Web was used to conduct meta-analyses. Out of 8336 studies screened, 120 were included. Neonates with lower gestational age at birth, birthweight, postmenstrual age, and weight at extubation were more likely to experience EF. Higher level of pre-extubation respiratory support, indicated by lower pre-extubation pH and higher pre-extubation mean airway pressure, fraction of inspired oxygen, and Pco2 were associated with EF risk. ML models showed variable accuracy and lower external validity. LUS may be a promising predictor, though scoring systems varied. EF was associated with higher odds of mortality and/or BPD (pooled odds ratio [OR], 4.7; 95% CI, 2.84-7.76) as well as the individual components of the composite: mortality (pooled OR, 3.87; 95% CI, 2.35-6.36) and BPD (pooled OR, 3.27; 95% CI, 2.54-4.21). Associations were derived from unadjusted data, precluding a definitive causal relationship between EF and predictors/outcomes. Lower gestational and chronological age and higher levels of pre-extubation ventilation support were associated with EF. ML models and LUS scores require further validation in larger studies. EF was associated with mortality and/or BPD.

Intra-abdominal Hypertension Is a Strong Predictor of Mortality and Poor Clinical Outcome in Severe Acute Pancreatitis.

Acute pancreatitis is one of the leading causes of mortality and morbidity. Most acute pancreatitis scoring systems have no pathophysiologic basis when evaluating severity. Such a limitation led to an interest in measuring intra-abdominal pressure (IAP) as a method to predict outcomes in patients with acute pancreatitis. Investigate the predictive impact of intra-abdominal hypertension (IAH) on mortality and clinical outcomes in a patient hospitalized with severe acute pancreatitis. We conducted a systematic search of the PubMed, Embase, and Cochrane databases from inception through November 2021 for studies evaluating the effect of IAH on acute pancreatitis. Relevant data were extracted and analyzed using STATA 17 software. A random-effects model was used for all variables. Publication bias was assessed using Egger's test. Fourteen studies investigating 1197 patients were included. Mortality, multiorgan dysfunction syndrome, pancreatic necrosis, renal, respiratory, and cardiovascular failure were more likely in the IAH group. However, infected necrosis and surgical intervention were not statistically significant between the two groups. After excluding abdominal compartment syndrome patients, mortality and respiratory failure were the only outcomes, which remained statistically significant. Patients admitted to the hospital with severe acute pancreatitis have higher odds for mortality, multiorgan dysfunction syndrome, renal, respiratory, and cardiovascular failure if they developed IAH. IAH remained a strong predictor of mortality and respiratory failure even in the absence of abdominal compartment syndrome. Therefore, the development of IAH is a strong predictor of mortality and poor clinical outcome in such a population.

Socioeconomic Disparities in the Clinical Outcomes of Pediatric Traumatic Brain Injury: A Nationwide Analysis of the Past Decade

Socioeconomic status has historically influenced traumatic brain injury (TBI) outcomes, yet pediatric TBI disparities remain understudied. We aimed to analyze the National Inpatient Sample (NIS) database for socioeconomic disparities in the outcomes of pediatric TBI patients. The NIS from 2011 to 2020 was retrospectively analyzed for pediatric TBI patients. Socioeconomic variables included age, sex, race, household income, geographic location, and primary expected payer. Outcomes included length of stay (LOS), in-hospital mortality, mortality risk, and illness severity. A total 45,109 pediatric TBI patients (63.9% male) were identified. Mean age was 7.76 years, mean LOS was 4.57 days, and overall mortality rate was 3.2%. African-American or Native American patients had significantly longer LOS (1.6 and 3.4 days, respectively; p<0.01) than White patients. African-American patients had an odds ratio of mortality of 1.57 compared to White patients. Female patients had significantly higher mortality risk and LOS (0.5 days) than male patients (p<0.001). Patients in the bottom 50% of income and those in rural counties had higher odds of mortality (2.20 and 1.27, respectively) compared to higher-income and urban patients. Regional mortality rate differences were significant (p<0.001), with the East South Central region having the highest rate. Medicaid and self-pay patients had higher LOS (p<0.001) and odds ratios of mortality (1.19 and 2.36, respectively) compared to private insurance patients. This study highlights significant differences based on race, sex, income, insurance type, and geographic location in pediatric TBI outcomes. Future research should focus on identifying factors contributing to inequalities and developing strategies to mitigate them.

Hypothermia on Admission Predicts Poor Outcomes in Adult Trauma Patients

BackgroundHypothermia is known to contribute to poor outcomes in trauma patients during acute phases. The aim of our study is to evaluate the effect of hypothermia on admission, upon in-hospital complications and mortality in adult trauma patients. MethodsWe performed a 5-year analysis of ACS-TQIP database (2017-2021). Patients with incomplete data, burns, inter-facility transfers, or documented as dead on arrival were excluded. Hypothermia (HT) was defined as a temperature of <35 degrees Celsius(°C), and Normothermia (NT) as ≥35°C to≤40°C measured at the time of patient arrival. Data were collected including demographic variables, mechanism of injury, injury severity, injury patterns, and shock index. Outcome variables were mortality, ICU length of stay (LOS), duration of mechanical ventilation, hospital LOS, and in-hospital complications. Multivariable regression analysis was performed. ResultsA total of 3,043,030 patients were included and 1% were hypothermic. HT patients were severely injured, developed in-hospital complications (17.1%vs.4.5%), had longer ICU LOS (4 (2-9) vs. 3 (2-5) days), hospital LOS (5 (2-12) vs. 4 (2-6) days), and higher mortality (23.4% vs. 2.3%). Hypothermia was independently associated with higher odds of mortality (OR:1.934 [1.858–2.013]). Subgroup analysis of patients with isolated traumatic brain injury revealed pre-hospital hypothermia to still be an independent predictor of mortality (OR: 1.728[1.600–1.867]). HT who underwent rewarming had a lower mortality, shorter hospital and ICU LOS. ConclusionPre-hospital hypothermia is independently associated with higher resource utilization, in-hospital complications, and mortality. Even in patients with isolated TBI, pre-hospital hypothermia increases the odds of mortality. Rewarming interventions can potentially improve outcomes among patients, even with mild hypothermia.

Prolonged Venous Transit on Perfusion Imaging is Associated with Longer Lengths of Stay in Acute Large Vessel Occlusions.

Prolonged venous transit (PVT+) is a marker of venous outflow; it is defined as the presence or absence of time-to-maximum ≥10 seconds timing in either the superior sagittal sinus or torcula. This novel perfusion imaging-based metric has been associated with higher odds of mortality and lower odds of functional recovery. This study aims to assess the relationship between PVT on admission perfusion imaging and length of hospital stay in large vessel occlusion strokes successfully reperfused with mechanical thrombectomy. Acute ischemic stroke patients with large vessel occlusions in the anterior circulation successfully treated with thrombectomy between 01/2017 and 09/2022 were retrospectively reviewed. The primary outcome was length of stay in the hospital due to the acute stroke event. Univariable and forward stepwise multivariable linear regressions were performed for the primary outcome. Of 109 patients meeting inclusion, median age was 71 (interquartile range [IQR] 62-80) years. Median hospital length of stay was significantly greater in PVT+ patients (9 [IQR 6-18] days) compared to PVT-patients (6 [IQR 4-12] days, p=0.03). In multivariable regression, PVT+ was significantly associated with length of stay, and PVT+ was associated with approximately two additional days of hospital stay compared to PVT-(p=0.03). In successfully reperfused large vessel occlusion strokes, PVT+ was associated with an additional two days of hospital stay on average compared to PVT-patients, when adjusting for other clinical covariables. This simple, novel imaging metric is robust in correlating with a range of short and long term clinical outcomes. VO = venous outflow; Tmax = time-to-maximum; PVT = prolonged venous transit; AIS-LVO = large vessel occlusion ischemic stroke; SSS = superior sagittal sinus; rCBF = relative cerebral blood flow; IQR = interquartile range; VIF = variance inflation factor.

Abstract 4134825: Diabetic ketoacidosis and hyperglycemic hyperosmolar state outcomes in diabetes patients hospitalized with ST-elevation myocardial infarction

Background: Diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) are acute life-threatening hyperglycemia conditions. Aims: We aimed to assess their impact on type 2 diabetes patients admitted for ST-elevation myocardial infarction (STEMI). Methods: Data was extracted from the National Readmission Database (2016-2019). The primary endpoint was in-hospital mortality. Secondary endpoints included in-hospital arrhythmias, cardiogenic shock, and 30-day readmission and mortality. Results: A total of 112,829 patients hospitalized for STEMI with a concomitant diagnosis of type 2 diabetes were hospitalized between 2016 and 2019, of whom 112,799 were included in our analysis after the exclusion of patients with missing data ( Figure 1 ). Of those patients, 330 had a diagnosis of DKA, and 292 had a diagnosis of HHS. After 30 days from the initial hospitalization, 118 (35.7%) out of the initial DKA group, 102 (34.9%) out of the initial HHS group, and 26,523 (23.6%) of STEMI patients with diabetes were readmitted. The presence of DKA increased the odds of in-hospital mortality and cardiogenic shock by almost 2-fold (aOR = 2.30 [1.70-3.12], 2.055 [1.602-2.637], respectively) and renal failure by almost 5-fold (aOR = 5.175 [4.090-6.546]) ( Table 1 ). HHS was also associated with higher odds of mortality, acute renal failure, and cardiogenic shock. Within 30 days of initial admission, DKA and HHS increased the risk of readmission (aOR= 1.815 [1.449-2.75], 1.751 [1.376 - 2.228], respectively), but not mortality. Cardiovascular disease was the most common etiology of readmission in all patients ( Figure 2) . The prevalence of non-STEMI was the highest in DKA patients (22.9%), and the prevalence of STEMI was the highest in the HHS group (37.9%). Conclusion: The presence of diabetic ketoacidosis or hyperglycemic hyperosmolar states is associated with higher odds of mortality, renal failure, cardiogenic shock, and 30-day readmission in STEMI patients with type 2 diabetes.

Abstract 4135852: Safety and Post-operative Complications of Endovascular Versus Surgical Versus Follow-up and Medical Treatment for Patients with Vertebrobasilar Artery Stenosis: Propensity Score Weighting and a Machine Learning Driven Analysis

Background: Vertebrobasilar artery stenosis (VBAS) can cause posterior circulation strokes (PCS). Optimal management is controversial, with options including medical therapy (MT), endovascular stenting (ES), and surgical revascularization (SR). This study compares outcomes of these treatments and evaluates the correlation between clinical features and medical history with 30-day outcome. Methods: Patients with VBAS were identified from the 2017-2018 National Inpatient Sample (NIS). Propensity scores adjusted for baseline differences. Outcomes included mortality, neurological complications (NC), discharge destination (DD), length of stay (LOS), total charges (TC), and procedural complications (PC). Predictive ability of clinical variables was assessed using logistic regression (LR) and machine learning techniques (MLT). Results: Of 1,343 patients, 1,061 (79.0%) received NI, 234 (17.4%) underwent ES, and 24 (1.8%) had SR. Mean age was 69.45 years, with 64.1% male. Demographics: 69.8% White, 14.9% Black, 10.0% Hispanic, and 5.3% other races. Hypertension (HTN, 85.4%) and diabetes (DM, 18.9%) were prevalent. After propensity weighting, ES was associated with higher odds of mortality, surgical/medical complications (SMC), and device/graft complications (DGC) compared to NI. SR showed a non-significant trend toward higher non-home discharges (NHD). ES and SR groups had higher resource utilization with longer LOS and greater TC. Clinical variables alone were weak predictors, with AUC values ranging from 0.454 to 0.71 across different outcomes and models. Conclusion: ES of VBAS was associated with higher mortality and complication rates compared to MT alone, with inconsistent benefits for NC. SR also carried elevated risks without clear advantages over MT. These results support that current clinical independent variables from the NIS are weak predictors. This highlights the limitation of the database in relying solely on clinical and medical history, and suggests that future use of radiological and anatomical features can improve predictions of outcomes and determination of subgroups that can benefit from certain treatment. More studies should be conducted, including post hoc analyses based on radiological and anatomical features, to better inform treatment decisions and determine subgroups that can benefit from intervention or surgery. These findings suggest a need for judicious patient selection and reinforce the role of optimal MT.

Abstract 4138475: Comparative Outcomes of Transcatheter Aortic Valve Implantation and Surgical Aortic Valve Replacement in Patients with Right Heart Failure: Insights from Nationwide Readmission Database

Background: The annual number of transcatheter aortic valve implantation (TAVI) performed has surpassed that of surgical aortic valve replacement (SAVR) as its use expands to patient populations not included in initial clinical trials. However, in patients with Right Heart Failure (RHF), the outcomes of TAVI and SAVR remain unclear. Methods: We conducted a retrospective cohort study using the Nationwide Readmission Database from 2018 to 2021. Using ICD-10 codes, we identified all adult admissions for TAVI and SAVR with the presence of RHF. The primary outcome was in-hospital mortality. Secondary outcomes included in-hospital complications, 30-day readmission rate, length of stay, and total hospitalization charges. Results: The study included 3,712 adult patients with RHF, of which 1,386 (37.3%) underwent TAVI and 2,326 (62.7%) underwent SAVR. Compared to SAVR patients, TAVI patients were older (63 years vs. 76 years, p&lt;0.01) and had a higher burden of peripheral vascular disease, chronic liver disease, and coagulopathy, while SAVR patients had a higher burden of hypertension, diabetes mellitus, coronary artery disease, left heart failure, chronic lung disease, smoking, malignancy, and anemia. On multivariable analysis, compared to TAVI, SAVR was associated with higher odds of mortality (26.6% vs. 9.3%, p&lt;0.01), mechanical circulatory support use (41.5% vs. 9.22%, p&lt;0.01), respiratory failure (34.2% vs. 10.2%, p&lt;0.01), acute kidney injury (58.1% vs. 37.7%, p&lt;0.01), and need for blood transfusion (31.4% vs. 11.0%, p&lt;0.01). There was no difference in 30-day readmission (13.8% vs. 14.3%, p=0.51) and permanent pacemaker implantation (7.0% vs. 8.7%, p=0.33). SAVR was associated with a longer median hospital stay (14 days vs. 8 days, p&lt;0.01) and higher hospitalization charges ($406,826 vs $265,303, p&lt;0.01). When compared to patients wihout RHF, the presence of RHF predicted higher in-hospital mortality for both TAVI (9.3% vs. 1.2%, p&lt;0.01) as well as SAVR (26.6% vs. 3.7%, p&lt;0.01). Conclusions: From 2018 to 2021, more RHF patients underwent SAVR (62.7%) than TAVI (37.3%), but SAVR was associated with worse short-term outcomes, including higher in-hospital mortality, in-hospital complications, and healthcare resource utilization.

Abstract 4136509: Children in Foster Care with Heart Disease Have Greater Resource Utilization and Mortality

Background: While children and youth in foster care (CYFC) have greater healthcare needs generally, data are lacking in heart disease. We characterize CYFC with heart disease, assess the impacts of being in foster care on outcomes, and examine validity of ICD-10 code Z62.21 for identification of CYFC in administrative data. Methods: In this single-center, retrospective cohort study of all cardiac surgical patients (&lt;18yo) admitted 2017-2022, CYFC were identified using institutional Electronic Medical Records via natural language processing or ICD codes, with confirmation by chart review. Demographics, medical characteristics and outcomes of CYFC were compared to children not in foster care. Generalized linear models assessed associations with primary outcomes of mortality at current follow-up (logit link) and total hospital days (log link), controlling for clinical factors and length of follow-up. We separately added Child Opportunity Index (COI) and payer to models. This cohort was then studied in the administrative pediatric health information system (PHIS) dataset to calculate ICD code sensitivity and specificity. Results: Of 4,431 cardiac surgical patients, 67 (1.5%) were in foster care. CYFC did not have significantly higher mortality (9% vs 5.8%), 30-day readmission or cardiac reoperation, number of complex chronic conditions (CCC), RACHS-2, or distance from center compared to non-CYFC. CYFC had lower COI (median 61 vs 72, p=0.016) and more Medicaid coverage (87% vs 40%, p&lt;0.001). Length of stay after index surgery was similar; however, cumulative hospital days during the study were significantly higher for CYFC (median 22 [IQR 10,45] vs 12 [6,27], p&lt;0.001). Adjusting for RACHS-2, CCC, age, readmission, reoperation, and follow-up duration, CYFC had higher odds of mortality (2.7 [95%CI 1.0,6.9] p=0.046) and more total hospital days (p=0.008). With COI or payer in the model, CYFC was not associated with mortality but remained an independent risk factor for more total hospital days. Only 16/67 (23.9%) of CYFC were coded with the Z62.21 in PHIS, yielding sensitivity of 21.9% (95%CI 13.1,33.1), and specificity of 100% (99.9,100). Conclusion: CYFC with heart disease have a relative social disadvantage, greater hospital resource utilization, and long-term mortality despite similar illness severity. Improved capture of foster care status in administrative data is needed to guide future studies and reduce health disparities for the vulnerable population of CYFC.

Evaluation of repeated machine learning-based phenotyping in patients with cardiogenic shock

Abstract Background Cardiogenic shock (CS) is a highly mortal disease with variable clinical manifestations, severity, and in-hospital trajectories. Multiple clinical trials have failed to show an impact of therapies on outcomes, partly because they focus on etiology as a classifier, failing to capture the clinical heterogeneity. A phenotype-based approach to CS allows for a dynamic risk stratification based on disease severity. We have previously presented three CS phenotypes at baseline using machine learning-based algorithms: phenotype I (non-congested), II (cardiorenal), and III (cardiometabolic). However, little is known about the clinical course of these CS phenotypes during hospitalization and whether repeated phenotyping may provide additional insights. Purpose To assess relevance and prognostic impact of repetitive reassessment of CS phenotypes and their trajectories during the first 72h after CS diagnosis. Methods We included all-cause CS patients from the multi-center, multinational Cardiogenic Shock Working Group (CSWG) V3 and V4 registries (Yr. 2022-2023). Phenotypes were assigned by nearest centroid classification based on the centroids from the initial CSWG V1 (Yr. 2019) registry derivation cohort. Missing values required for phenotype assignment were imputed for all patients, but imputed values were only used for phenotype assignment and not reported as outcomes. Results A total of 4308 patients were included, of which 928 had CS due to myocardial infarction (MI-CS) and 2164 had CS due to heart failure (HF-CS). At time of diagnosis/ baseline, 1627 (37.8%), 1832 (42.5%), and 849 (19.7%) of patients were in phenotype I (non-congested), II (cardiorenal) and III (cardiometabolic), respectively. In MI-CS, patients were evenly distributed between the three phenotypes (35.5%, 34.4%, and 30.2%, respectively), whereas in HF-CS, non-congested and cardiorenal CS were more common than cardiometabolic shock (38.8%, 48.9%, and 12.3%, respectively). Within the first 12 hours, most patients in cardiorenal and cardiometabolic CS shifted to non-congested CS (Figure 1). In-hospital mortality in admission phenotype I, II, and III was 21.7%, 32.1%, and 50.1% (p&amp;lt;0.0001 for difference), respectively, in concordance with previous reports. When assessed at different time points, phenotypes II and III were associated with higher odds of mortality than phenotype I at 24h, 48h, and 72h after initial shock diagnosis (p≤0.03 for all, Figure 2). Conclusion Beyond baseline, re-assessment of machine learning-based CS phenotypes within the first 72h after CS diagnosis may provide additional prognostic insights. These data may inform future clinical trial design to tailor interventions to specific CS phenotypes.Figure 1Figure 2

Association Between Tidal Volume in Invasive Mechanical Ventilation and Mortality in Children With Extracorporeal Membrane Oxygenation.

Mechanical ventilation (MV) strategies in children on extracorporeal membrane oxygenation (ECMO) have not been studied much and the ventilatory parameters to avoid greater lung damage are still unclear. Our objective was to determine the relationship between conventional tidal volume (4-8 ml/kg, CTV) versus low tidal volume (<4 ml/kg, LTV) and mortality in children with MV at the beginning of ECMO. This was a retrospective cohort study that included 101 (10.9 months interquartile range [IQR]: 6.0-24.0) children. Children with LTV had greater odds of hospital mortality (adjusted odds ratio [aOR]: 2.45; 95% confidence interval [CI]: 1.05-5.71; p = 0.03) regardless of age, reason for ECMO, and disease severity, as well as a longer duration of MV after ECMO. We found no differences between the groups in other MV settings. The CTV group required fewer fibrobronchoscopies than patients with LTV (aOR: 0.38; 95% CI: 0.15-0.99; p = 0.04). We found that a tidal volume (VT) lower than 4 ml/kg at the onset of ECMO support in children with MV was associated with higher odds of mortality, longer post-decannulation ventilation, and a greater need for fibrobronchoscopies. Lung-protective bundles in patients with ECMO and MV should consider the VT to maintain plateau and driving pressure that avoid major lung injury caused by MV.

Higher Morbidity and Mortality in Females With Fournier Gangrene Compared With Males: Insights From National Inpatient Sample Data.

We compare Fournier gangrene in female and male patients and identify mortality-associated characteristics in both. We used National Inpatient Sample data (2016-2020) to identify Fournier gangrene cases and extracted demographic, comorbidity, and procedural variables. Multivariable regression models were used to identify mortality risk factors for both cohorts. We identified 2875 female (31%) and 6451 male patients (69%) with Fournier gangrene corresponding to an estimated 14,375 (95% CI, 13,784-14,966) and 32,255 (95% CI, 31,390-33,120) cases, respectively. Female patients were more likely to die than male patients (7.1% vs 5.7%, P < .0001, respectively). The median incidence rates were 1.7 (interquartile range, 1.5-1.8) and 4 (interquartile range, 3.6-4.3) cases per 100,000 person-years for female and male patients, respectively. Female patients had higher median age, longer hospital stays, more charges, procedures, and fecal diversion rates, but lower routine discharges than male patients (P < .05). Non-White female patients had increased mortality odds compared with White female patients (odds ratio [OR], 1.49; 95% CI, 1.07-2.07; P = .019). Prolonged interval until initial perineal debridement correlated with higher mortality odds in both female and male patients (OR, 1.02; 95% CI, 1-1.04; P = .034 vs OR, 1.03; 95% CI, 1.01-1.05; P < .0001). Diabetes lowered mortality odds in female and male patients (OR, 0.68; 95% CI, 0.47-0.99; P = .046 vs OR, 0.54; 95% CI, 0.41-0.7; P < .0001). In female patients, Fournier gangrene incidence surpasses previous reports, with slightly worse outcomes compared with male patients, emphasizing the need for precise clinical assessment and early intensive interventions.

Palliative care resources utilized in patients with liver cancer with cirrhosis: Trend in National Inpatient Sample (NIS) study (2016–2020).

59 Background: Liver cancer is the fourth cause of cancer death in the world. Hepatocellular carcinoma represents around 90% of all liver cancer, with an increase in incidence and a worsening survival rate over the years. Liver cirrhosis is the major risk factor for liver cancer development. Early involvement in palliative care/hospice care focusing on quality of life, is associated with improved physical and psychological symptoms and improvement in caregiver stress and bereavement. We examined as primary outcome the utilization and trend of palliative care (PC) among hospitalized patients with liver cancer and cirrhosis using the NIS. Methods: This is a retrospective study using NIS data from 2016 to 2021. We included patients aged 18 years or older who were admitted with a diagnosis of malignancy of the liver and the intrahepatic bile duct and who also had a diagnosis of fibrosis and cirrhosis of the liver. Patients who had a PC encounter during hospitalization were identified. The cohort was divided between patients with PC encounters and those without PC encounters. Cohorts were matched in a 1:1 ratio with no replacement using propensity scores. Total charges during hospitalization, length of stay (LOS), mortality, and disposition were measured as outcomes. Results: A total of 53,475 admissions with a diagnosis of liver malignancy and liver cirrhosis were identified. Of those, 20.8% had an encounter with a PC. The mean age of those with a PC encounter was 65.1 years (SD±7.86), while the mean age for those without was 64.5 years (SD±7.35). Sex and race were similar between both cohorts. Patients with PC encounters had a higher mean Elixhauser index (6.43 vs 5.58, p &lt; 0.001) than those without a PC encounter. Patients with PC encounters had lower total hospital charges ($70,988 vs $94,518, p &lt; 0.001), longer LOS (6.83 vs. 5.82 days, p &lt; 0.001), and higher odds of mortality (aOR 7.20, CI 5.56- 9.32, p &lt; 0.001) compared to those without a PC encounter. Patients with a PC encounter were more frequently discharged to a long-term facility (23.9% vs. 12.6%) or with home health care (36.1% vs. 18.4%) and less often had a routine hospital discharge (13.5% vs. 60.1%), compared to those without a PC encounter. Conclusions: This study highlights the impact of PC on patients hospitalized with liver malignancy and cirrhosis. Despite being underutilized, with only 20.8% of patients receiving PC, those who do experienced lower hospital charges, longer hospital stays, and higher in- hospital mortality. These findings suggest that PC focuses on symptom management and quality of life rather than extending life expectancy. Patients receiving PC are more frequently discharged to long-term care or home health care, indicating a shift towards supportive care. The results advocate for the broader and earlier integration of palliative care in treating liver cancer and cirrhosis to improve patient outcomes and support.

Patterns of care and outcomes for hepatocellular carcinoma and pancreatic cancer based on rurality of patient’s residence in a rural midwestern state

BackgroundAlthough advancements in surgical planning and multidisciplinary care have improved the survival of patients with hepatopancreatic cancers in recent years, the impact of the rurality of patient residence on care received and survival is not well known. We aimed to assess the association between the rurality of a patient’s residence and cancer-specific survival outcomes among patients with hepatocellular carcinoma (HCC) and pancreatic cancer (PC) in Iowa, hypothesizing that patients in rural areas would experience lower survival. MethodsAdult patients diagnosed with HCC or PC between 2010 and 2020 were identified using the Iowa Cancer Registry. Chi-square tests were used to compare categorical variables by rural/urban status. Logistic regression was used to examine factors associated with receiving surgery. Multivariable-adjusted Cox proportional hazards regression was used to determine associations with cancer-specific mortality. ResultsOf 1877 patients with HCC, 58%, 27%, and 16% resided in metropolitan, micropolitan, and rural areas, respectively. Approximately 70% of patients in rural areas traveled ≥50 miles for definitive care. Additionally, those residing in rural areas had the highest proportion of patients receiving definitive care at non-Commission on Cancer (CoC) centers (12.6% metro vs 14% micro vs 22.2% rural, P < .001). In a multivariable-adjusted analysis of patients with stage I to III disease, definitive care at a non-CoC center was independently associated with lower odds of surgery (odds ratio [OR] = 0.23; 95% CI, 0.12–0.45; P < .0001) and higher mortality risk (OR = 1.39; 95% CI, 1.07–1.79; P = .01), though rural residence was not. For PC, 5465 patients were diagnosed, and 51%, 28%, and 20% resided in metropolitan, micropolitan, and rural areas, respectively. Similar to HCC, although rural residence was neither associated with odds of surgery nor with mortality risk, receiving definitive care at non-CoC accredited centers was associated with significantly lower odds of receiving surgery (OR = 0.17; 95% CI, 0.11–0.26; P < .0001) and higher mortality risk (OR = 1.48; 95% CI, 1.23–1.77; P < .0001). ConclusionRural residents with hepatopancreatic cancer have the highest proportion of patients receiving definitive care at non-CoC centers, which is associated with lower odds of receiving surgery and higher odds of mortality. This highlights the importance of standardizing complex cancer care and the need to foster collaboration between specialized and non-specialized centers.

Acute Myocardial Injury in Spontaneous Intracerebral Hemorrhage: A Secondary Observational Analysis of the FAST Trial.

Acute myocardial injury is associated with poor outcomes in patients with acute ischemic stroke, but its prognostic significance in patients with spontaneous intracerebral hemorrhage remains unclear. We investigated whether acute myocardial injury and the direction of the cardiac troponin I (cTnI) change (rising versus falling) affect post-intracerebral hemorrhage outcomes. We re-analyzed the FAST (Factor-Seven-for-Acute-Hemorrhagic-Stroke) trial. Acute myocardial injury was defined as at least 1 cTnI value above the upper reference limit with a rise/fall of >20%. Logistic regression tested for associations (1) between acute myocardial injury (presence versus absence) and poor outcome (modified Rankin Scale 4-6) and mortality at 15 and 90 days; (2) among 3 groups (rising versus falling versus no acute myocardial injury) and outcomes. Among the 841 FAST participants, 785 patients were included. Acute myocardial injury was detected in 29% (n=227); 170 had rising cTnI. At 15 and 90 days, respectively, those with acute myocardial injury had higher odds of poor outcome (adjusted odds ratio) ([aOR] 2.3 [95% CI, 1.3-3.9]); and adjusted odds ratio 2.5 [95% CI, 1.6-3.9];, and higher odds of mortality (adjusted odds ratio 2.4 [95% CI, 1.4-4.3]; and adjusted odds ratio 2.2 [CI, 1.3-3.6]) than patients without. There was no interaction between FAST group assignment and myocardial injury, and associations between myocardial injury and outcomes were consistent across group assignments. Rising cTnI was associated with the highest risk of poor outcomes and mortality. In this secondary analysis of the FAST trial, acute myocardial injury was common and associated with poor outcomes. The direction of the cTnI change might provide additional risk stratification after intracerebral hemorrhage.

Risk Factors of COVID-19 associated mucormycosis in Iranian patients: a multicenter study

BackgroundTo evaluate the demographic, clinical, and prognostic characteristics of patients diagnosed with COVID-19-associated mucormycosis (CAM) in Iranian patients.MethodsThis prospective observational study was conducted in 8 tertiary referral ophthalmology centers in different provinces of Iran during the fifth wave of the COVID-19 pandemic. All patients were subjected to complete history taking and comprehensive ophthalmological examination and underwent standard accepted treatment strategy based on the disease stage.ResultsTwo hundred seventy-four CAM patients (most were males (150, 54.7%)) with a mean age of 56.8 ± 12.44 years were enrolled. Patients with a history of cigarette smoking (Adjusted Odds Ratio (AOR) = 4.36), Intensive Care Unit admission (ICU) (AOR = 16.26), higher stage of CAM (AOR = 2.72), and receiving endoscopic debridement and transcutaneous retrobulbar amphotericin B (AOR = 3.30) had higher odds of mortality. History of taking systemic corticosteroids during COVID-19 was significantly associated with reduced odds of mortality (AOR = 0.16). Generalized Estimating Equations analysis showed that the visual acuity of deceased patients (LogMAR: 3.71, 95% CI: 3.04–4.38) was worse than that of patients who were discharged from the hospital (LogMAR: 2.42, 95% CI: 2.16–2.68) (P < 0.001).ConclusionsThis study highlights significant risk factors for mortality in patients with CAM, such as cigarette smoking, ICU admission, advanced CAM stages, receiving transcutaneous retrobulbar amphotericin B and worser visual acuity. Conversely, a history of systemic corticosteroid use during COVID-19 was linked to reduced mortality. These findings underscore the critical need for early identification and targeted interventions for high-risk CAM patients to improve clinical outcomes.

The impact of general anesthesia versus non-general anesthesia on thrombectomy outcomes by occlusion location: insights from the ETIS registry.

Identifying the optimal anesthetic technique for mechanical thrombectomy (MT) remains an unresolved issue. Prior research has not considered the influence of occlusion site when comparing general anesthesia (GA) with non-GA. This study evaluates the differential impacts of the anesthetic technique (GA vs non-GA) on outcomes according to the location of occlusion. This is a retrospective analysis of the ETIS (Endovascular Treatment in Ischemic Stroke) registry. Patients with anterior circulation large-vessel occlusion treated with MT were included. Patients were divided into groups according to the location of occlusion. Inverse propensity score weighting analysis was used. Among 2783 patients included in the propensity score analysis, 669 (24%) received GA. In the total cohort, GA was not associated with favorable outcome, excellent outcome, successful reperfusion, or complete reperfusion. GA was associated with higher odds of parenchymal hemorrhage (OR 1.42, 95% 1.05-1.92) but not symptomatic intracranial hemorrhage. GA was associated with Alberta Stroke Program Early CT Score progression (OR 1.36, 95% CI 1.11-1.68). In the internal carotid artery occlusion group, GA was associated with higher odds of mortality (OR 1.94, 95% CI 1.15-3.27). In the M1 group, GA was associated with lower odds of complications (OR 0.41, 95% CI 0.19-0.92). In the M2 group, GA was associated with successful reperfusion (OR 2.79, 95% CI 1.02-7.64). In addition, the complication rate was lower with GA (2.7% vs 7%), although the association was not significant in adjusted analysis. While GA and non-GA techniques did not differ significantly in functional outcomes, the influence of GA on angiographic and procedural safety outcomes was location dependent, underscoring the importance of a tailored anesthesia technique in MT procedures.

Validation of the NULL-EASE Score for Predicting Survival in a Multiethnic Asian Cohort of Out-of-Hospital Cardiac Arrest.

NULL-PLEASE is a simple and accurate clinical scoring system developed in a Western cohort of patients with out-of-hospital cardiac arrest (OHCA). The need for blood test results limits its use in early stages of care. We adapted and validated the NULL-EASE score (without laboratory tests) in an independent, multiethnic Asian cohort of patients with out-of-hospital cardiac arrest. Using the Singapore OHCA registry, we included consecutive adult patients with out-of-hospital cardiac arrest who survived to hospital admission between April 2010 to December 2020. In-hospital mortality was the primary outcome. Logistic regression analyses were performed with STATA MP v18. Of 3274 patients (median age 64, interquartile range 54-75; 67.9% male) included in the study, 2476 (75.6%) had in-hospital mortality. NULL-EASE score was significantly lower in survivors compared with nonsurvivors (median [inter quartile range] 3 [1-4] versus 6 [4-7]; P<0.001) and strongly predictive of mortality (area under receiver operating characteristic, 0.81 [95% CI, 0.79-0.83]). Patients with a score of ≥3 had higher odds of mortality (adjusted odds ratio, 8.11 [95% CI, 6.57-10.00]) when compared with those with lower scores, after adjusting for sex, residential arrest, diabetes, respiratory disease, and stroke. A cutoff value of ≥3 predicted mortality with 92.2% sensitivity, 84.1% positive predictive value, 46.1% specificity, and 65.5% negative predictive value. NULL-EASE score performed better in younger compared with older patients (area under receiver operating characteristic, 0.82 versus 0.77, P=0.008). The NULL-EASE score has good discriminative performance (sensitivity and accuracy) in our multiethnic Asian cohort, but the cutoff of ≥3 falls short of the desired level of specificity for therapeutic decision-making.

The epidemiology and outcomes of severe road traffic injury by road user type in Korea: A nationwide retrospective observational study

ObjectivesRoad traffic injuries (RTIs) pose a significant public health burden, and more than half of these fatalities are attributed to vulnerable road users (VRUs). This study aimed to evaluate the epidemiology and outcomes of severe RTIs in Korea by focusing on different types of road users. MethodsThis is nationwide retrospective observational study. Using data from the Korean Nationwide Severe Trauma Registry, this study analyzed severe RTI cases from 2016 to 2020. The study included EMS-treated severe trauma patients, defining severe RTI as cases with an injury severity score (ISS) ≥16 or out-of-hospital cardiac arrest (OHCA). The main variable of interest was the road user type, classified as motor vehicle occupants (MVOs), pedestrians, motorcyclists, and bicyclists. Trends and injury characteristics by road user type were analyzed, and multivariate logistic regression was conducted to calculate the adjusted odds ratios (AORs) and 95 % confidence intervals (CIs) of road user type for in-hospital mortality. ResultsOf the 143,021 EMS-treated severe trauma cases, 24,464 were included in this study. Pedestrians represented the largest group (n = 8,782; 35.9 %). More than half of the patients died (n = 12,620, 51.6 %), and a high proportion of patients had OHCA (n = 10,048, 41.1 %). There was no significant change in the overall severe RTI numbers from 2016 to 2020, but a decrease in pedestrian cases and an increase in motorcyclist cases were noted (both p for trend<0.05). Low usage of safety devices was observed (28.2 % of motor vehicle occupants used seat belts, 35.9 % of motorcyclists used helmets, and 9.6 % of bicyclists used helmets). Head injuries were most common, particularly among bicyclists (77.0 %) and motorcyclists (69.8 %). Compared to motor vehicle occupants, pedestrians (AOR [95 % CI] 1.12 [1.04–1.20]) and others (AOR [95 % CI] 1.30 [1.02–1.65]) had higher odds of mortality, while motorcyclists (AOR [95 % CI] 0.64 [0.59–0.69]) and bicyclists (AOR [95 % CI] 0.68 [0.60–0.76]) had lower odds of mortality. ConclusionWe found varying trends and injury characteristics in severe RTIs according to road user type. Adapting prevention strategies for evolving road user patterns, with particular attention to increasing safety device usage and addressing the high mortality associated with severe RTIs are warranted.

Machine Learning and Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive Analysis.

BACKGROUND Cardiac arrest (CA) is a global public health challenge. This study explored the predictors of mortality and their interactions utilizing machine learning algorithms and their related mortality odds among patients following CA. MATERIAL AND METHODS The study retrospectively investigated 161 medical records of CA patients admitted to the Intensive Care Unit (ICU). The random forest classifier algorithm was used to assess the parameters of mortality. The best classification trees were chosen from a set of 100 trees proposed by the algorithm. Conditional mortality odds were investigated with the use of logistic regression models featuring interactions between variables. RESULTS In the logistic regression model, male sex was associated with 5.68-fold higher mortality odds. The mortality odds among the asystole/pulseless electrical activity (PEA) patients were modulated by body mass index (BMI) and among ventricular fibrillation/pulseless ventricular tachycardia (VF/pVT) patients were by serum albumin concentration (decrease by 2.85-fold with 1 g/dl increase). Procalcitonin (PCT) concentration, age, high-sensitivity C-reactive protein (hsCRP), albumin, and potassium were the most influential parameters for mortality prediction with the use of the random forest classifier. Nutritional status-associated parameters (serum albumin concentration, BMI, and Nutritional Risk Score 2002 [NRS-2002]) may be useful in predicting mortality in patients with CA, especially in patients with PCT >0.17 ng/ml, as showed by the decision tree chosen from the random forest classifier based on goodness of fit (AUC score). CONCLUSIONS Mortality in patients following CA is modulated by many co-existing factors. The conclusions refer to sets of conditions rather than universal truths. For individual factors, the 5 most important classifiers of mortality (in descending order of importance) were PCT, age, hsCRP, albumin, and potassium.