Inpatient Outcomes of Cirrhosis-related Cachexia in the United States.

Background and Aims: Cachexia is a metabolic syndrome defined by a loss of more than 5% of body weight in patients with chronic diseases. The goal of this study was to investigate the link between cirrhotic cachexia and hospital mortality and the 30-day risk of all-cause readmission. Methods: The study utilized Nationwide Readmission Database for the years 2016-2019 in which all patients older than 18 year old with a primary diagnosis of cirrhosis were included. We excluded patients with a concurrent diagnosis of Human Immunodeficiency Virus, chronic lung disease, end-stage renal disease, malignancy, heart failure, and certain neurological diseases. We compared baseline characteristics and outcomes between those who were cachectic and those who were not. Survey multivariate logistic regression was used to analyze the independent impact of cachexia on categorical outcomes. Results: The study cohort was 342,030 cases. Cachexia was identified in approximately 17% of the study population (58,509 discharges). The mean age was 56 years. Slightly more female patients noted in cachexia group (41% vs 38%). Inpatient mortality during index hospitalization were higher in patients with cirrhotic cachexia (6.7% vs 3%, P < .01). Inpatient mortality during first all-cause readmission within 30 days of index discharge was also higher in cachexia group (8.6% vs 6.5%, P < .01). Conclusion: Cachexia is an adverse prognosticator for inpatient outcomes in patients with cirrhosis. It is associated with greater readmission rates, inpatient mortality, and prolonged hospital admissions.

The changing landscape of geriatric care in acute myeloid leukemia: a 5-year analysis of inpatient mortality predictors, trends in mortality, and chemotherapy use.

Background: This study examined inpatient mortality factors in geriatric patients with acute myeloid leukemia (AML) using data from the 2016 to 2020 National Inpatient Sample. Methods: Identifying patients through ICD-10 codes, a total of 127,985 individuals with AML were classified into age categories as follows: 50.58% were 65 to 74 years, 37.74% were 75 to 84 years, and 11.68% were 85 years or older. Statistical analysis, conducted with STATA, involved Fisher's exact and Student's t tests for variable comparisons. Mortality predictors were identified through multivariate logistic regression. Results: Various hospital and patient-level factors, including an increase in age, race, a higher Charlson Comorbidity Index score, insurance status, and specific comorbidities such as atrial fibrillation and protein-calorie malnutrition, independently elevated the risk of inpatient mortality. Asthma, hyperlipidemia, and inpatient chemotherapy were linked to lower mortality. Although there was no statistically significant mortality rate change from 2016 to 2020, a decline in chemotherapy use in the eldest age group was noted. Conclusion: This study highlights the complexity of factors influencing inpatient mortality among geriatric patients with AML, emphasizing the need for personalized clinical approaches in this vulnerable population.

An Investigation of Mortality Associated With Comorbid Pneumonia and Thrombocytopenia in a Rural Southwest Missouri Hospital System.

BACKGROUND: Pneumonia places a significant burden on individuals and society, contributing to a substantial number of hospital admissions, emergency department visits, deaths, and healthcare costs each year. Comorbidities can greatly increase the risk of poor outcomes when associated with pneumonia. One comorbidity that has yet to be thoroughly researched is thrombocytopenia, which is known to play an important role in activating the immune response to infections. A decrease in platelet count may limit the immune response and consequently increase mortality in patients with pneumonia. The purpose of this study was to investigate whether comorbid thrombocytopenia and pneumonia are associated with poor outcomes. METHODS: This study was a retrospective cohort analysis comparing mortality rates among patients with comorbid thrombocytopenia and pneumonia, pneumonia without thrombocytopenia, and thrombocytopenia without pneumonia. Data were collected from Freeman Health System using International Classification of Diseases, Tenth Revision (ICD-10) codes from January 1, 2019, to December 31, 2021. ICD-10 codes for pneumonia and thrombocytopenia were extracted and stratified into three groups: those with both pneumonia and thrombocytopenia, those with pneumonia without thrombocytopenia, and those with thrombocytopenia without pneumonia. Mortality rates were then compared across the three groups. RESULTS: There were 4,414 patients admitted with pneumonia and 1,157 admissions for thrombocytopenia without pneumonia. Among the 4,414 patients admitted with pneumonia, 3,902 did not have thrombocytopenia, while 512 had thrombocytopenia. Of the patients without thrombocytopenia, 14% (3,902) expired. Among the 512 patients with thrombocytopenia, 43% expired. In the thrombocytopenia without pneumonia group, 11% (1,157) expired. CONCLUSION: These results indicate a significant increase in mortality in patients with both pneumonia and thrombocytopenia compared to those with pneumonia without thrombocytopenia (an increase in mortality of 28.93% with a 95% CI: 24.50-33.36%, P < 0.0001). While pneumonia itself increases mortality compared to the general population, patients with both pneumonia and thrombocytopenia exhibit even higher mortality rates.

Double Trouble: COVID-19 Infection Exacerbates Sickle Cell Crisis Outcomes in Hospitalized Patients-Insights from National Inpatient Sample 2020.

Background: This study investigated the impact of COVID-19 on patients with sickle cell crisis (SCC) using National Inpatient Sample (NIS) data for the year 2020. Methods: A retrospective cohort analysis was conducted utilizing International Classification of Diseases (ICD-10) codes to identify adults who were admitted with a principal diagnosis of sickle cell crisis. The primary outcomes examined were inpatient mortality, while the secondary outcomes assessed included morbidity, hospital length of stay, and resource utilization. Analyses were conducted with STATA. Multivariate logistic and linear regression analyses were used to adjust for confounding variables. Results: Of 66,415 adult patients with a primary SCC diagnosis, 875 were identified with a secondary diagnosis of COVID-19 infection. Unadjusted mortality rate was higher for SCC patients with COVID-19 (2.28%) compared to those without (0.33%), with an adjusted odds ratio (aOR) of 8.49 (p = 0.001). They also showed increased odds of developing acute respiratory failure (aOR = 2.37, p = 0.003) and acute kidney injury requiring dialysis (aOR = 8.66, p = 0.034). Additionally, these patients had longer hospital stays by an adjusted mean of 3.30 days (p < 0.001) and incurred higher hospitalization charges by an adjusted mean of USD 35,578 (p = 0.005). Conclusions: The SCC patients with COVID-19 presented higher mortality rates, increased morbidity indicators, longer hospital stays, and substantial economic burdens.

Differences in the Impact of Obesity and Bariatric Surgery on Patients Hospitalized for Atrial Flutter and Atrial Fibrillation: A Nationwide Analysis, 2016-2020.

BACKGROUND: The "obesity paradox" claims that although obesity is a risk factor for atrial fibrillation, obese patients have lower inpatient mortality when admitted due to atrial fibrillation. This study aims to analyze if the obesity paradox still holds true after weight loss from bariatric surgery.  Methods: This study analyzed discharge data from the National Inpatient Sample, 2016-2020. Patients admitted due to atrial fibrillation or atrial flutter, with or without obesity, and with or without a past medical history of bariatric surgery were identified using ICD-10-CM and ICD-10-PCS codes. The primary outcome was mortality. Secondary outcomes included length of stay, resource utilization, necessity for endotracheal intubation, and necessity for cardioversion. STATA v.13 was used for univariate and multivariate analysis (StataCorp LLC, Texas, USA). RESULTS: Among 2,292,194 patients who had a primary diagnosis of atrial fibrillation or atrial flutter, 494,830 were obese and 25,940 had bariatric surgery. Mortality was not significantly different in post-bariatric surgery patients when compared to the general population (OR 0.76; 95% [CI 0.482-1.2; p=0.24]). Mortality was significantly lower in obese patients when compared to the general population (OR 0.646; 95% [CI 0.583-0.717; p<0.001]). Therefore, post-bariatric surgery patients had a higher mortality than obese patients when compared to the general population. Obese patients spent more days in the hospital (regression 0.219; 95% [CI 0.19-0.248, p<0.001]), had higher resource utilization (regression 3491.995; 95% [CI 2870.085-4113.905, p<0.001]), more cardioversions (OR 1.434; 95% [CI 1.404-1.465; p<0.001]), and no difference in endotracheal intubation rate (OR 1.02; 95% [CI 0.92-1.127; p=0.724]) when compared to the general population. Post-bariatric patients had no difference in length of stay (regression -0.053; 95% [CI -0.137-0.031; p=0.218]) and resource utilization (regression 577.297; 95% [CI -1069.801-2224.396; p=0.492]), fewer endotracheal intubations (OR 0.583; 95% [CI 0.343-0.99; p=0.046]), and more cardioversions (OR 1.223; 95% [CI 1.134-1.32; p<0.001]) when compared to the general population. CONCLUSION: Compared to the general population, post-bariatric patients had higher inpatient mortality than obese patients when admitted due to atrial fibrillation or atrial flutter. This research reinforces the presence of the obesity paradox following bariatric surgery with respect to mortality.

Racial Disparities in Outcomes of Primary Percutaneous Coronary Intervention for ST-Elevation Myocardial Infarction Secondary to Spontaneous Coronary Artery Dissection.

Spontaneous coronary artery dissection (SCAD) is a rare cause of ST-segment elevation myocardial infarction (STEMI), predominantly affecting women. Because primary percutaneous coronary intervention (PPCI) is reserved for a select group of patients, vulnerable and minority patients may experience delays in appropriate management and adverse outcomes. We examined the racial differences in the outcomes for patients with SCAD who underwent PPCI for STEMI. Records of patients aged ≥18 years who underwent PPCI for SCAD-related STEMI between 2016 and 2020 were identified from the National Inpatient Sample database. Clinical, socioeconomic, and hospital characteristics were compared between non-White and White patients. Weighted multivariate analysis assessed the association of race with inpatient mortality, length of stay (LOS), and hospitalization costs. The total weighted estimate of patients with SCAD-STEMI who underwent PPCI was 4,945, constituting 25% non-White patients. Non-White patients were younger (56 vs 60.7 years, p <0.001); had a higher prevalence of diabetes, acute renal failure, and obesity; and were more likely to be uninsured and be in the lowest income group. Inpatient mortality (7.7% vs 8.4%, p = 0.74) and hospitalization costs ($34,213 vs $31,858, p = 0.27) were similar for non-White and White patients, and the adjusted analysis did not show any association between the patients' race and inpatient mortality (odds ratio 0.60, 95% confidence interval [CI] 0.32 to 1.13, p = 0.11) or hospitalization costs (ß [ß coefficient]: 215, 95% CI -4,193 to 4,623, p >0.90). Similarly, there was no association between the patients' race and LOS (incident rate ratio 1.20, 95% CI 1.00 to 1.45, p = 0.054). The weighted multivariate analysis showed that age; clinical co-morbidities such as diabetes, acute renal failure, valvular dysfunction, and obesity; low-income status; and hospitalization in the western region were associated with adverse outcomes. In conclusion, our study does not show any differences in inpatient mortality, LOS, and hospitalization costs between non-White and White patients who underwent PPCI for SCAD-related STEMI.

Impact of interhospital transfer status on outcomes of variceal and nonvariceal upper gastrointestinal bleeding: insights from the National Inpatient Sample analysis, 2017 to 2020.

Background: Variceal and nonvariceal upper gastrointestinal bleeding (VUGIB and NVUGIB, respectively) require prompt intervention. Existing studies offer limited insight into the impact of interhospital transfers on patients with VUGIB and NVUGIB. Methods: We conducted a retrospective study using the US National Inpatient Sample database from 2017 to 2020. The outcomes included in-hospital mortality, incidence of complications, procedural performance, and resource utilization. Results: A total of 28,275 VUGIB and 781,370 NVUGIB adult patients were included. Transferred VUGIB and NVUGIB patients, when compared to nontransferred ones, demonstrated higher inpatient mortality (adjusted odds ratio [AOR] 1.49 and 1.86, P < 0.05). Patients with VUGIB and NVUGIB had a higher likelihood of acute kidney injury requiring dialysis (AOR 3.79 and 1.76, respectively, P = 0.01), vasopressor requirement (AOR 2.13 and 2.37, respectively, P < 0.01), need for mechanical ventilation (AOR 1.73 and 2.02, respectively, P < 0.01), and intensive care unit admission (AOR 1.76 and 2.01, respectively, P < 0.01). Compared to their nontransferred counterparts, transferred VUGIB patients had a higher rate of undergoing transjugular intrahepatic portosystemic shunt (AOR 3.26, 95% CI 1.92-5.54, P < 0.01), while transferred NVUGIB patients had a higher rate of interventional radiology-guided embolization (AOR 2.01, 95% CI 1.73-2.34, P < 0.01) and endoscopic hemostasis (AOR 1.10, 95% CI 1.05-1.15, P < 0.01). Conclusion: Interhospital transfer is associated with worse clinical outcomes and higher resource utilization for VUGIB and NVUGIB patients.

Association between the Quantity of Nurse-Doctor Interprofessional Collaboration and in-Patient Mortality: A Systematic Review.

The level of nurse-doctor interprofessional collaboration may influence patient outcomes, including mortality. To date, no systematic reviews have investigated the association between the quantity of nurse-doctor interprofessional collaboration and inpatient mortality. A systematic review was conducted. We included studies that measured the quantity of nurse-doctor interprofessional collaboration and in-patient mortality. Five databases (MEDLINE, EMBASE, PsycINFO, CINAHL, and the Cochrane Register) were searched. Two researchers undertook the title, abstract, and full-text screening. The risk of bias was determined using the Effective Public Health Practice Project (EPHPP) critical appraisal tool. Six reports from three observational studies met the inclusion criteria. Participants included 1.32 million patients, 29,591 nurses, and 191 doctors. The included studies had a high risk of bias. Of the three studies, one reported a significant association and one found no association between the quantity of nurse-doctor collaboration and mortality. The third study reported on the quantity of nurse-doctor collaboration but did not report the test of this association. We found no high-quality evidence to suggest the amount of nurse-doctor interprofessional collaboration was associated with mortality in medical and surgical inpatients. There is a need for further high-quality research to evaluate the association between the amount of nurse-doctor collaboration and patient outcomes.

The "July effect" on patients admitted with diabetes ketoacidosis: a national retrospective cohort study.

Background: Every July, new residents begin training across the United States, but it is unclear whether this affects the mortality rate of critically ill patients such as those with diabetes ketoacidosis (DKA). Methods: This national retrospective cohort study included patients aged 18 years or older admitted to acute care with DKA between 2016 and 2020. Data were obtained from the National Inpatient Sample Database. We compared patients admitted in July and August with those admitted during the remaining months and assessed the primary endpoint of all-cause inpatient mortality. We also obtained an odds ratio adjusted for confounders using multivariate logistic regression analysis. Secondary endpoints included length of hospital stay, total hospital charges, the crude rate of mechanical ventilation, acute kidney injury requiring hemodialysis, and vasopressor requirement. Hypothesis testing was conducted using the chi-square test for categorical variables and Student's t test for continuous variables. A two-tailed P value of < 0.05 was considered statistically significant. Results: Of the 269,095 hospitalizations identified over 5 years with a discharge diagnosis of DKA, 250,990 met the inclusion criteria. During July and August, 42,668 (17%) hospitalizations occurred, and 208,322 (83%) occurred during the remaining months. The mean age of the patients was 47 years, and there was no significant difference among the cohorts (P = 0.41). Female patients represented 54% of the total patients, and there was no difference between the cohorts (P = 0.68). Of the admitted patients, 61% were White, 21% were Black, and 11% were Hispanic, with no differences between the cohorts (P = 0.38). Medicare (35%) and Medicaid (30%) were the primary payers for most patients, and approximately 25% had private insurance. There were no differences between the cohorts in terms of primary payers (P = 0.49). The mean length of stay was 7 days, and the total hospitalization cost was $85,509. Admission in July or August did not increase the odds of inpatient mortality (adjusted odds ratio 0.96, P = 0.58). Conclusions: In this retrospective cohort study of patients admitted with DKA, inpatient care during July and August did not increase the odds of inpatient mortality.

Mortality and in-patient outcomes in pheochromocytoma patients with hypertensive emergency in the United States: A propensity score matched analysis.

INTRODUCTION: Pheochromocytoma is a rare cause of hypertensive emergency. The objective of this analysis was to compare the clinical characteristics, comorbidities, and in-hospital outcomes of patients admitted with hypertensive emergencies with and without co-existing pheochromocytoma. METHODS: A retrospective analysis of the National Inpatient Sample (NIS) Database from 2016 to 2020 was conducted, encompassing 640,395 patients hospitalized for hypertensive emergencies, including 2535 patients diagnosed with pheochromocytoma. We compared demographics, comorbidities, in-hospital outcomes and resource utilization metrics in patients with and without pheochromocytoma. Propensity-score matching was utilized to account for potential confounders and risk of complications was compared. RESULTS: Among the pheochromocytoma cohort (51.9% female), a significant portion (35.7%) were under 50 years of age, with the majority being Caucasian (47.9%). Comorbid conditions such as obesity, diabetes, and smoking were prevalent, with notable differences in cancer (7.5% vs. 2.3%, p < 0.001) and peripheral vascular disease (17% vs. 8.2%, p < 0.001) rates compared to the non-pheochromocytoma cohort. Pheochromocytoma patients had a longer hospital stay (7.5 vs. 6 days, p = 0.002) and higher odds of acute kidney injury (AKI) (1.54, 1.18-2, p=0.001) but lower odds of requiring hemodialysis (0.52, 0.32-0.79, p < 0.001) or experiencing major cardiovascular events (0.5, 0.36-0.69, p < 0.001). No significant difference in inflation-adjusted hospitalization costs was found between the groups. CONCLUSIONS: Patients with hypertensive emergencies and pheochromocytoma had a higher incidence of AK, certain comorbidities (cancer, peripheral vascular disease), and more complex hospital courses suggested by longer length of stay. However, the overall cost of hospitalization did not significantly differ between the two cohorts.

A Prospective Multimodal Education Intervention for Providers Does Not Increase Hepatic Encephalopathy Treatment Rates.

BACKGROUND: Over 50% of hospitalizations from hepatic encephalopathy (HE) are preventable, but patients often do not receive medical treatment. AIMS: To use a multimodal education intervention (MMEI) to increase HE treatment rates and to evaluate (1) trends in HE treatment, (2) predictors of receiving treatment, and (3) the impact of treatment on hospitalization outcomes. METHODS: Prospective single-center cohort study of patients hospitalized with HE from April 1, 2020-September 30, 2022. The first 15 months were a control ("pre-MMEI"), the subsequent 15 months (MMEI) included three phases: (1) prior authorization resources, (2) electronic order set, and (3) in-person provider education. Treatment included receiving any drug (lactulose or rifaximin), or combination therapy. Treatment rates pre- vs. post-MMEI were compared using logistic regression. RESULTS: 471 patients were included. There were lower odds of receiving any drug post-MMEI (p = 0.03). There was no difference in receiving combination therapy pre- or post-MMEI (p = 0.32). Predictors of receiving any drug included alcohol-related or cryptogenic cirrhosis (p's < 0.001), and the presence of ascites (p = 0.005) and/or portal hypertension (p = 0.003). The only significant predictor of not receiving any drug treatment was having autoimmune cirrhosis (p < 0.001). Patients seen by internal medicine (p = 0.01) or who were intoxicated (p = 0.02) were less likely to receive rifaximin. Any treatment was associated with higher 30-day liver disease-specific readmission (p < 0.001). CONCLUSION: This MMEI did not increase HE treatment rates, suggesting that alternative strategies are needed to identify and address barriers to treatment.

Rates, Outcomes, and Resource Burden of Extracorporeal Membrane Oxygenation Use in Hospitalizations in the United States During the Pandemic.

INTRODUCTION: Extracorporeal membrane oxygenation (ECMO) is a lifesaving medical intervention for patients with severe refractory cardiopulmonary dysfunction. This study aims to characterize hospitalizations and resource use burdens associated with ECMO use during the onset of the pandemic. METHODS: We performed a retrospective analysis of ECMO use in United States (US) hospitals between 2019 and 2020, utilizing data from the National Inpatient Sample database. Patient demographics, comorbidities, admission characteristics, inpatient mortality, length of hospital stay (LOS), healthcare costs, and ECMO utilization trends were assessed. RESULTS: Of the 17,520 hospitalizations analyzed, the most common reasons for admission were diseases and disorders of the circulatory system (40.5%) and diseases and disorders of the respiratory system (31.2%). The average patient age was 52.5 years, with a male predominance (64.2%). Hospitalizations were predominantly for White Americans (59.5%), followed by Blacks (16.3%) and Hispanics (14.8%). Nearly 88.2% of cases were at an extremely high risk of mortality without intervention. Inpatient mortality was significantly associated with Hispanic descent, a higher Charlson Comorbidity Index (CCI) score, age >60 years, and a higher All Patients Refined Diagnosis Related Groups (APRDRG) risk of mortality. Hospitalizations involving ECMO had a significantly higher inpatient mortality rate compared to non-ECMO hospitalizations (43.1% vs. 2.1%, p<0.0001). The mean LOS was 26 days for ECMO hospitalizations, with ECMO initiation occurring approximately five days from admission. ECMO-related hospitalizations often involve over 10 unique procedures, resulting in an average healthcare cost of US$967,647 per hospitalization, totaling US$16.7 billion. Comparatively, non-ECMO hospitalizations had shorter LOS and lower mean costs (mean LOS, 4.7 days, and US$52,659, respectively). ECMO utilization increased significantly from 2019 to 2020, reflecting rising demand for this life-saving therapy. CONCLUSION: Compared to non-ECMO hospitalizations, ECMO patients had higher inpatient mortality, associated with Hispanic descent, higher CCI scores, an age >60 years, and a higher APRDRG risk. ECMO hospitalizations had longer stays (26 days) and higher costs (US$967,647 per case, US$16.7 billion total) compared to pre-pandemic levels. ECMO use increased significantly from 2019 to 2020, reflecting rising demand.

Independent predictors of mortality and 5-year trends in mortality and resource utilization in hospitalized patients with diffuse large B cell lymphoma.

Background: This retrospective study analyzed factors influencing all-cause inpatient mortality in 80,930 adult patients (2016-2020) with diffuse large B cell lymphoma using the National Inpatient Sample database. Methods: Utilizing ICD-10 codes, patients were identified, and statistical analysis was conducted using STATA. Fisher's exact and Student's t tests compared proportions and variables, multivariate logistic regression examined mortality predictors, and a 5-year longitudinal analysis identified mortality and resource utilization trends. Results: The inpatient mortality rate was found to be 6.56% with a mean age of 67.99 years. Several hospital- and patient-level factors including specific comorbidities such as congestive heart failure, atrial fibrillation, acute kidney injury, chronic obstructive pulmonary disease, liver failure, pancytopenia, tumor lysis syndrome, and severe protein-calorie malnutrition were independently associated with inpatient mortality. Hospitalization costs showed an increasing trend, impacting the overall population and survivors. Conclusion: These insights may refine risk assessment, treatment selection, and interventions.

Racial/ethnic disparities in inpatient palliative care utilization and hospitalization outcomes among patients with colorectal cancer.

PURPOSE: Research has shown that racial/ethnic disparities exist in outcomes for colorectal cancer (CRC) patients, but there are no studies assessing inpatient palliative care utilization and hospitalization outcomes in this population. We examined racial/ethnic disparities in palliative care utilization and hospitalization outcomes among CRC and early-onset CRC patients. METHODS: Using National Inpatient Sample (NIS) data collected between 2016 and 2018, cross-sectional analyses were performed. Descriptive analyses were done, stratified by race/ethnicity. Multivariable logistic and linear regression models were used to examine racial/ethnic differences in palliative care utilization, inpatient mortality, chemotherapy/radiotherapy use, length of stay and total hospital charges among hospitalized patients with CRC and early-onset CRC. RESULTS: Blacks had higher odds (AOR: 1.09; 95% CI: 1.03-1.16) of receiving palliative care consultation while Hispanics had lower odds (AOR: 0.90; 95% CI: 0.84-0.96) compared to Whites. Blacks had 1.1 times higher odds (95% CI: 1.01-1.18) of inpatient mortality relative to Whites while Hispanics had 16% (AOR: 0.84; 95% CI: 0.76-0.93) lower odds of inpatient mortality. Compared to Whites, Blacks (AOR: 1.99; 95% CI: 1.64-2.41), Hispanics (AOR: 2.49; 95% CI: 1.94-3.19) and colorectal cancer patients in the other category (AOR: 1.72; 95% CI: 1.35-2.18) were more likely to receive inpatient treatment with chemotherapy/radiotherapy. Furthermore, Black patients were 1.1 times (95% CI: 1.06-1.14) more likely to have a length of stay more than 5 days. Blacks (𝛃: $3,096.7; 95% CI: $1,207.0-$4,986.5) Hispanic (𝛃: $10,237.5; 95% CI: $7,558.2-$12,916.8) and other patients (𝛃: $6,332.0; 95% CI: $2,830.9-$9, 833.2) had higher hospital charges relative to their White counterparts. Among patients with early onset CRC, Blacks had higher palliative care use (AOR: 1.29; 95% CI: 1.10-1.51) and inpatient mortality (AOR: 1.38; 95% CI: 1.06-1.79) while Hispanics reported $5,589.7 (95% CI: $683.2-$10,496.2) higher total hospital charges and were more likely to receive inpatient chemotherapy/radiotherapy (AOR: 2.48; 95% CI: 1.70-3.63). CONCLUSION: Further research is needed to explore specific cultural, socioeconomic, and political factors that explain these disparities and identify ways to narrow the gap. Meanwhile, the healthcare sector will need to assess what strategies might be helpful in addressing these disparities in outcomes in the context of other socioeconomic and cultural factors that may be affecting the patients.

Inpatient Outcomes for Myocarditis-Related Heart Failure.

Background Heart failure (HF) is one of the leading causes of hospitalizations among adults, accounting for high rates of morbidity and mortality in the United States. Myocarditis is a less common etiology of HF, and its outcomes are less well understood. Methods We used the Nationwide Readmissions Database from 2016 to 2019, extracting adult patients with a primary diagnosis of HF who were admitted between January and November of each year studied. We excluded patients with missing data on event time or length of stay. Inpatient outcomes were compared between cases of HF without myocarditis and myocarditis-associated HF (MAHF). Survey procedures were applied. Propensity scores as covariates were used in survey-weighted models to estimate the population average treatment effect on the treated using SAS 9.4. Results We included 4,454,272 HF-related weighted admissions for which 4,605 patients (0.1%) had a concurrent diagnosis of myocarditis. Overall, patients with MAHF, compared with HF without myocarditis, were younger (mean age: 53 years vs. 72 years, p < 0.001) with fewer women (45 vs. 48%), respectively. Patients with MAHF had more inpatient complications including cardiac arrest, cardiogenic shock, and use of mechanical circulatory support ( p < 0.001) despite having fewer comorbidities such as diabetes, hypertension, and renal disease. Patients with MAHF had longer mean lengths of stay (9.2 vs. 5.5 days, p < 0.001). In-hospital mortality during index admission was significantly higher in MAHF at 3.9% compared with 2.8% for HF without myocarditis ( p < 0.001). Myocarditis was a key predictor of inpatient mortality adjusting for risk factors. Conclusion Myocarditis-related HF is associated with increased inpatient mortality, resource utilization, and prolonged hospitalization.

Machine learning-based model for predicting inpatient mortality in adults with traumatic brain injury: a systematic review and meta-analysis.

Background and objective: Predicting mortality from traumatic brain injury facilitates early data-driven treatment decisions. Machine learning has predicted mortality from traumatic brain injury in a growing number of studies, and the aim of this study was to conduct a meta-analysis of machine learning models in predicting mortality from traumatic brain injury. Methods: This systematic review and meta-analysis included searches of PubMed, Web of Science and Embase from inception to June 2023, supplemented by manual searches of study references and review articles. Data were analyzed using Stata 16.0 software. This study is registered with PROSPERO (CRD2023440875). Results: A total of 14 studies were included. The studies showed significant differences in the overall sample, model type and model validation. Predictive models performed well with a pooled AUC of 0.90 (95% CI: 0.87 to 0.92). Conclusion: Overall, this study highlights the excellent predictive capabilities of machine learning models in determining mortality following traumatic brain injury. However, it is important to note that the optimal machine learning modeling approach has not yet been identified. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=440875, identifier CRD2023440875.

COVID-19 inpatient mortality in Brazil from 2020 to 2022: a cross-sectional overview study based on secondary data.

BACKGROUND: In Brazil, the COVID-19 pandemic found the universal and public Unified Health System (SUS) with problems accumulated over time, due, among other reasons, to low investments, and disparities in resource distribution. The preparedness and response of the healthcare system, involving the SUS and a private sector, was affected by large socioeconomic and healthcare access inequities. This work was aimed at offering an overview of COVID-19 inpatient mortality during the pandemic in Brazil, exploring factors associated with its variations and, specifically, differences across public, private (for-profit) and philanthropic (private non-profit) inpatient healthcare units, providers, and non-providers of services to the SUS. METHODS: This cross-sectional study used public secondary data. The main data source was the SIVEP-Gripe, which comprises data on severe acute respiratory illness records prospectively collected. We also employed the National Record of Health Establishments, the SUS' Hospitalization Information System and municipalities' data from IBGE. We considered adult COVID-19 hospitalizations registered in SIVEP-Gripe from February 2020 to December 2022 in inpatient healthcare units with a minimum of 100 cases in the period. Data analyses explored the occurrence of inpatient mortality, employing general linear mixed models to identify the effects of patients', health care processes', healthcare units' and municipalities' characteristics on it. RESULTS: About 70% of the COVID-19 hospitalizations in Brazil were covered by the SUS, which attended the more vulnerable population groups and had worse inpatient mortality. In general, non-SUS private and philanthropic hospitals, mostly reimbursed by healthcare insurance plans accessible for more privileged socioeconomic classes, presented the best outcomes. Southern Brazil had the best performance among the macro-regions. Black and indigenous individuals, residents of lower HDI municipalities, and those hospitalized out of their residence city presented higher odds of inpatient mortality. Moreover, adjusted inpatient mortality rates were higher in the pandemic peak moments and were significantly reduced after COVID-19 vaccination reaching a reasonable coverage, from July 2021. CONCLUSIONS: COVID-19 exposed socioeconomic and healthcare inequalities and the importance and weaknesses of SUS in Brazil. This work indicates the need to revert the disinvestment in the universal public system, a fundamental policy for reduction of inequities in the country.

Using Comorbidity Statistical Modeling to Predict Inpatient Mortality: Insights Into the Burden on Hospitalized Patients.

Background The expenditures of the United States for healthcare are the highest in the world. Assessment of inpatient disease classifications associated with death can provide useful information for risk stratification, outcome prediction, and comparative analyses to understand the most resource-intensive chronic illnesses. This project aims to adapt a comorbidity index model to the National Inpatient Sample (NIS) database of 2020 to predict one-year mortality for patients admitted with select International Classification of Diseases, 10th Edition (ICD-10) codes of diagnoses. Methodology A retrospective cohort study analyzed mortality with comorbidity using the Charlson comorbidity index model (CCI) in a sample population of an estimated 5,533,477 adult inpatients (individuals aged ≥18 years) obtained from the National Inpatient Database for 2020. A multivariate logistic regression model was constructed with in-hospital mortality as the outcome variable and identifying predictor variables as defined by the Clinical Classifications Software Refined Variables (CCSR) codes for selected ICD-10 diagnoses. Descriptive statistics and the base logistic regression analyses were conducted using SAS statistical software version 9.4 (SAS Institute, Cary, NC, USA). To avoid overpowering, a subsample (n = 100,000) was randomly selected from the original dataset. The initial CCI assigned weights to ICD-10 diagnoses based on the associated risk of death, and conditions with the greatest collective weights were included in a subsequent backward stepwise logistic regression model. Results The results of the base CCI regression analysis revealed 16 chronic conditions with P-values <0.20. Anemia (1,567,081, 28.32%), pulmonary disease (asthma, chronic obstructive pulmonary disease [COPD], pneumoconiosis; 1,210,892, 21.88%), and diabetes without complications (1,077,239, 19.47%) were the three most prevalent conditions associated with inpatient mortality. Results of the backward stepwise regression analysis revealed that severe liver disease/hepatic failure (adjusted odds ratio [aOR] 10.50; 95% confidence interval [CI] 10.40-10.59), acute myocardial infarction (aOR 2.85; 95% CI 2.83-2.87) and malnutrition (aOR 2.15, 95% CI 2.14-2.16) were three most important risk factors and had the highest impact on inpatient mortality (P-value <0.0001). The concordance statistic (c-statistic) or the area under the curve (AUC) for the final model was 0.752. Conclusions The CCI model proved to be a valuable approach in categorizing morbidity classifications associated with the greatest risk of death using a national sample of hospitalized patients in 2020. Study findings provide an objective approach to compare patient populations that bear important implications for healthcare system improvements, clinician treatment approaches, and ultimately decision decision-makers poised to influence advanced models of care and prevention strategies that limit disease progression and improve patient outcomes.

Burden of HPV-Related Hospitalization in Germany from 2000 to 2021.

HPV has been linked to the development of precancerous and cancerous lesions. The aim of this study was to evaluate the burden of HPV-related hospitalization in Germany from 2000 to 2021 and the potential impact of the COVID-19 pandemic on it. METHODS: We performed a retrospective query using data from the German Statistical Office from 2000 to 2021, including hospital admission, inpatient mortality and hospital stay length data on cervical cancer/dysplasia, female genitourinary tract, anal, penile, head and neck cancers. RESULTS: The HPV-attributable hospitalization rate per 100,000 inhabitants in Germany has decreased over time, from 89 cases in 2000 to 60 in 2021, with an average annual percent change (AAPC) of -1.93 (CI -2.08--1.79, p < 0.05). The same trend was observed for the average hospital stay, which declined from 9 to 7 days, with an AAPC of -1.33 (CI -1.52--1.21, p < 0.05). An undulating but overall slightly declining pattern was observed for the inpatient mortality (AAPC -0.92, CI -1.21--0.64, p < 0.05). We observed a reduction in the hospitalization rates for invasive and non-invasive cervical cancer, which was observed in almost all age groups and in all German federal states. CONCLUSION: Our study provides a comprehensive analysis of the trends in HPV-related hospitalizations over the past two decades. The decline in hospitalization rates for cervical cancer and dysplasia suggests the potential efficacy of the HPV vaccination and screening programs.

Outcomes of Acute Pancreatitis in Hospitalized Patients With Generalized Anxiety Disorder.

Introduction Acute pancreatitis (AP) is a common cause of hospitalization in the United States. There is evidence that chronic stress increases the risk for more severe AP episodes. One common form of chronic stress is generalized anxiety disorder (GAD). The purpose of this research was to investigate the impact of GAD on the outcomes of adult patients admitted to the hospital with AP. Methods Utilizing the 2014 National Inpatient Sample database and International Classification of Diseases, Ninth Edition Revision (ICD) codes, AP patients were selected. Common inpatient outcomes of AP patients with and without GAD were examined. The outcomes studied were acute renal failure, acute respiratory failure, sepsis, acute deep vein thrombosis, myocardial infarction, intestinal perforation, and inpatient mortality. A multivariate logistic regression analysis was conducted to assess if GAD was an independent predictor for these outcomes. Results Among 82,156 adult patients hospitalized for AP during the 2014 year, 10,611 of them had coexisting GAD. AP patients with comorbid GAD were found to have an increased likelihood of acute renal failure (aOR = 1.19, 95% confidence interval (CI) = 1.11-1.28, p < 0.001), sepsis (aOR = 1.09, 95% CI = 1.01 -1.19, p = 0.037), acute deep vein thrombosis (aOR = 1.63, 95% CI = 1.06-2.50, p = 0.025), and inpatient mortality (aOR = 1.62, 95% C = I 1.27-2.08, p < 0.001). There was no statistically significant difference found between the two cohorts for the outcomes of myocardial infarction and intestinal perforation. Conclusion In patients hospitalized with AP, those with coexisting GAD were found to have an increased risk of developing acute renal failure, sepsis, acute deep vein thrombosis, and inpatient mortality. There may be benefits to identifying AP patients with comorbid GAD at the time of admission and monitoring them more carefully during their hospitalization to help identify early signs of complications or prevent the negative outcomes seen in this study.