Inpatient Data Research Articles

Prevalence, trends, and specialized palliative care utilization in Taiwanese children and young adults with life-limiting conditions between 2008 and 2017: a nationwide population-based study

BackgroundPrevious studies have shown a growing need for pediatric palliative care, but there is a lack of knowledge in many countries concerning prevalence of service use among children and young adults with life-limiting conditions. This study aimed to estimate (1) the annual prevalence of children and young adults with a life-limiting condition, and (2) their specialized palliative care and other healthcare utilization.MethodsData from the Health and Welfare Data Science Center in Taiwan were used. All children and young adults aged 0–25 years recorded in inpatient or outpatient data, and infants aged < 1 year in death data with a life-limiting condition diagnostic code from 2008 to 2017 were recruited. Poisson regression was used to estimate the crude and adjusted relative risk of prevalence of life-limiting conditions with 95% confidence intervals, adjusted for age and sex, and to evaluate the trend in prevalence of each life-limiting diagnostic groups, in specialized palliative care and other service use.ResultsData contained 236,250 individuals with a life-limiting condition, of which oncological and congenital abnormalities were the most common. There was an annualized increase over 10 years in the prevalence of life-limiting conditions of 36.4%, from 45,311 cases (59.4 per 10,000 population) to 52,226 cases (81.0 per 10,000 population), with the highest prevalence in individuals aged 21–25 years. All diagnostic groups showed significant increases in prevalence (p < .001) with the exception of oncology, circulatory, and “other” group. Specialized palliative care services, including family consultation, shared care, home visits have increased in use over time (p < .001), while inpatient hospice has slightly decreased. The highest prevalence of healthcare use was for traditional Chinese medicine (237.1 per 1,000 population in 2017), but this decreased over time (p < .001).ConclusionsDue to a growing trend towards multidisciplinary care, healthcare professionals and policymakers must engage and take action to expand specialized palliative care and integrate delivery of other healthcare services. Traditional Chinese medicine having a decreasing slope, yet still the highest prevalence of use, needs further attention.

An age-period-cohort analysis of hysterectomy incidence trends in Germany from 2005 to 2019

Recent studies show declining trends in hysterectomy rates in several countries. The objective of this study was to analyse hysterectomy time trends in Germany over a fifteen-year period using an age-period-cohort approach. Using an ecological study design, inpatient data from Diagnoses Related Group on hysterectomies by subtype performed in Germany from 2005 to 2019 were retrieved from the German Statistical Office. Descriptive time trends and age-period-cohort analyses were then performed. A total of 1,974,836 hysterectomies were performed over the study period. The absolute number of hysterectomies reduced progressively from 155,680 (365 procedures/100,000 women) in 2005 to 101,046 (257 procedures/100,000 women) in 2019. Total and radical hysterectomy decreased by 49.7% and 44.2%, respectively, whilst subtotal hysterectomy increased five-fold. The age-period-cohort analysis revealed highest hysterectomy rates in women aged 45–49 for total and subtotal hysterectomy with 608.63 procedures/100,000 women (95% CI 565.70, 654.82) and 151.30 procedures/100,000 women (95% CI 138.38, 165.44) respectively. Radical hysterectomy peaked later at 65–69 years with a rate of 40.63 procedures/100,000 women (95% CI 38.84, 42.52). The risk of undergoing total or radical hysterectomy decreased over the study period but increased for subtotal hysterectomy. Although, overall hysterectomy rates have declined, subtotal hysterectomy rates have increased; reflecting changes in clinical practice largely influenced by the availability of uterus-sparing options, evolving guidelines and introduction of newer surgical approaches.

Admission prioritization of heart failure patients with multiple comorbidities.

The primary objective of this study was to enhance the operational efficiency of the current healthcare system by proposing a quicker and more effective approach for healthcare providers to deliver services to individuals facing acute heart failure (HF) and concurrent medical conditions. The aim was to support healthcare staff in providing urgent services more efficiently by developing an automated decision-support Patient Prioritization (PP) Tool that utilizes a tailored machine learning (ML) model to prioritize HF patients with chronic heart conditions and concurrent comorbidities during Urgent Care Unit admission. The study applies key ML models to the PhysioNet dataset, encompassing hospital admissions and mortality records of heart failure patients at Zigong Fourth People's Hospital in Sichuan, China, between 2016 and 2019. In addition, the model outcomes for the PhysioNet dataset are compared with the Healthcare Cost and Utilization Project (HCUP) Maryland (MD) State Inpatient Data (SID) for 2014, a secondary dataset containing heart failure patients, to assess the generalizability of results across diverse healthcare settings and patient demographics. The ML models in this project demonstrate efficiencies surpassing 97.8% and specificities exceeding 95% in identifying HF patients at a higher risk and ranking them based on their mortality risk level. Utilizing this machine learning for the PP approach underscores risk assessment, supporting healthcare professionals in managing HF patients more effectively and allocating resources to those in immediate need, whether in hospital or telehealth settings.

Prevalence of Older Hospitalised Adults with Sustained Fractures after a Fall in Regional Australian Hospitals.

Falls commonly occur in hospitals, particularly among older adults. Fractures in the older population can cause major morbidity, which can result in long hospital admissions and increased care costs. This study aimed to characterise the demographics of patients aged 65 years and over who fell in hospital and to determine the type of fractures they sustained. A descriptive study was undertaken to examine hospital data of older inpatients who had a fall during admission in two regional Queensland hospitals in Australia over a 2.5-year period. The prevalence of inpatient falls was 1.28%. Most falls were unwitnessed (77.34%) and they had an average of seven medical comorbidities. The mean age was 80.4 years and 63% were male. Women who fell were significantly older than men (p = 0.004). The mean length of stay of in-hospital fallers was 22.77 days and same admission mortality was 9.3%. Thirty-three fall events (3.8%) resulted in fractures, some with multiple injuries. The most common fracture was neck of femur, followed by rib, femur, and facial fractures. In conclusion, this study identifies the incidence of falls increased with age, most falls were unwitnessed, as well as provides evidence that patients with falls had multiple comorbidities and long hospital admissions. The data could be used to optimise fall prevention strategies and to refine post-fall assessment pathways.

Development of Data Quality Indicators for Improving Hospital International Classification of Diseases-Coded Health Data Quality Globally.

Hospital inpatient data, coded using the International Classification of Diseases (ICD), is widely used to monitor diseases, allocate resources and funding, and evaluate patient outcomes. As such, hospital data quality should be measured before use; however, currently, there is no standard and international approach to assess ICD-coded data quality. To develop a standardized method for assessing hospital ICD-coded data quality that could be applied across countries: Data quality indicators (DQIs). To identify a set of candidate DQIs, we performed an environmental scan, reviewing gray and academic literature on data quality frameworks and existing methods to assess data quality. Indicators from the literature were then appraised and selected through a 3-round Delphi process. The first round involved face-to-face group and individual meetings for idea generation, while the second and third rounds were conducted remotely to collect online ratings. Final DQIs were selected based on the panelists' quantitative and qualitative feedback. Participants included international experts with expertise in administrative health data, data quality, and ICD coding. The resulting 24 DQIs encompass 5 dimensions of data quality: relevance, accuracy and reliability; comparability and coherence; timeliness; and Accessibility and clarity. These will help stakeholders (eg, World Health Organization) to assess hospital data quality using the same standard across countries and highlight areas in need of improvement. This novel area of research will facilitate international comparisons of ICD-coded data quality and be valuable to future studies and initiatives aimed at improving hospital administrative data quality.

The Implication of Elevated Serum Myoglobin Level in Acute Diabetic Complications of Ketoacidosis and Hyperglycemic Hyperosmolar State: A Real-World Study.

To investigate the implications of elevated myoglobin (MYO) in acute diabetic conditions of diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS). This study integrates in-patient data from Shanghai Pudong Hospital from 2019 to 2023. Laboratory data were compared between stable T2D patients (without acute diabetic complications), DKA, and HHS patients. The multilinear regression explored variables relevant to the elevated MYO in DKA and HHS. The dynamics of MYO, the survival rate, and associated risk factors in HHS were determined. Except for triglyceride, procalcitonin, low-density lipoprotein, islet cell autoimmune antibodies, N-terminal Pro-brain natriuretic peptide (NT-ProBNP), and brain natriuretic peptide (BNP), there were significant differences in age, gender distribution, duration of diabetes, type of diabetes, and other referred laboratory data (p<0.05). The age, gender, creatine kinase (CK), estimated glomerular filtration rate (eGFR), and free triiodothyronine (FT3) in DKA, whereas osmolar, uric acid (UA), and cardiac troponin I (cTNI) in the HHS, were significant determinants of elevated MYO, respectively (p<0.05). The dynamic of MYO in HHS was in line with the survival trend, where the percentage of death was 29.73%, and aging with higher procalcitonin levels was a key risk factor. Besides, the cumulative survival rates between patients with or without bone fracture or muscle injury were substantially different. This real-world study demonstrated DKA and HHS potentially have unique causes for increased MYO. By utilizing the appropriate regression parameters, we could forecast the progression of increased MYO in groups of DKA and HHS, while based on risk factors of aging, severity of infection, and different MYO sources, we could predict the prognosis of HHS.

The impact of insurance status on patient placement into inpatient and outpatient orthopaedic surgical centers

BackgroundInnovation has fueled the shift from inpatient to outpatient care for orthopaedic joint arthroplasty. Given this transformation, it becomes imperative to understand what factors help assign care-settings to specific patients for the same procedure. While the comorbidities suffered by patients are important considerations, recent research may point to a more complex determination. Differences in reimbursement structures and patient characteristics across various insurance statuses could potentially influence these decisions.MethodsRetrospective binary logistic and ordinary least square (OLS) regression analyses were employed on de-identified inpatient and outpatient orthopaedic arthroplasty data from Albany Medical Center from 2018 to 2022. Data elements included surgical setting (inpatient vs. outpatient), covariates (age, sex, race, obesity, smoking status), Elixhauser comorbidity indices, and insurance status.ResultsPatients insured by Medicare were significantly more likely to be placed in inpatient care-settings for total hip, knee, and ankle arthroplasty when compared to their privately insured counterparts even after Centers for Medicare and Medicaid Services (CMS) removed each individual surgery from its inpatient-only-list (1.65 (p < 0.05), 1.27 (p < 0.05), and 12.93 (p < 0.05) times more likely respectively). When compared to patients insured by the other payers, Medicare patients did not have the most comorbidities (p < 0.05).ConclusionsMedicare patients were more likely to be placed in inpatient care-settings for hip, knee, and ankle arthroplasty. However, Medicaid patients were shown to have the most comorbidities. It is of value to note Medicare patients billed for outpatient services experience higher coinsurance rates.Level of evidenceIII.

Perioperative Outcomes and Trends in Transurethral Resection of Bladder Tumors with Photodynamic Diagnosis: Results from the GeRmAn Nationwide Inpatient Data Study.

Background: Photodynamic diagnosis (PDD) during transurethral resection of bladder tumor (TURBT) is guideline recommended, as it improves bladder cancer detection rates. However, the extent to which PDD is implemented in everyday clinical practice has not been thoroughly assessed. We aimed to evaluate the current trends and major perioperative outcomes of TURBT with PDD. Methods: The present study evaluated the GeRmAn Nationwide inpatient Data (GRAND) from 2010 (the year when PDD started to be coded separately in Germany) to 2021, which were made available from the Research Data Center of the German Bureau of Statistics. We undertook numerous patient-level and multivariable logistic regression analyses. Results: Overall, 972,208 TURBTs [228,207 (23%) with PDD and 744,001 (77%) with white light] were performed. Patients offered PDD during TURBT were younger (p < 0.001), presented fewer comorbidities (p < 0.001) and were discharged earlier from hospital (p < 0.001). PDD was associated with additional costs of about EUR 500 compared to white-light TURBT (p < 0.001). The yearly TURBT cases remained relatively stable from 2010 to 2021, whereas utilization of PDD underwent a 2-fold increase. After adjusting for major risk factors in the multivariate regression analysis, PDD was related to lower rates of transfusion (1.4% vs. 5.6%, OR: 0.29, 95% CI: 0.28 to 0.31, p < 0.001), intensive care unit admission (0.7% vs. 1.4%, OR: 0.56, 95% CI: 0.53 to 0.59, p < 0.001) and 30-day in-hospital mortality (0.1% vs. 0.7%, OR: 0.24, 95% CI: 0.22 to 0.27, p < 0.001) compared to white-light TURBT. On the contrary, PDD was related to clinically insignificant higher rates of bladder perforation (0.6% versus 0.5%, OR: 1.3, 95% CI: 1.2 to 1.4, p < 0.001), and reoperation (2.6% versus 2.3%, OR: 1.2, 95% CI: 1.1 to 1.2, p < 0.001). Conclusions: The utilization of PDD with TURBT is steadily increasing. Nevertheless, the road toward the establishment of PDD as the standard of care for TURBT is still long, despite of the advantages of PDD.

Prevalence, outcomes, and complications of vitamin D deficiency among patients with multiple myeloma: Nationwide burden of disease.

Multiple myeloma (MM), constituting 10% of hematological malignancies, poses significant morbidity and mortality, especially with skeletal involvement. Bisphosphonate use in MM may lead to severe hypocalcemia due to vitamin D deficiency (VDD), exacerbating bone-marrow plasma cell burden. We aimed to assess VDD prevalence and its impact on outcomes in MM patients. A retrospective cross-sectional analysis (2008-2018) of nationwide inpatient data identified adult MM hospitalizations with VDD using ICD-10-CM codes. Univariate and multivariate analyses were conducted to evaluate prevalence, demographics, and outcomes, with significance set at p < 0.05. Among 330,175 MM hospitalizations, 3.48% had VDD. VDD was more prevalent among 50-75 year olds (61.72% vs 59.74%), females (53.36% vs 44.34%), Blacks (23.34% vs 22.94%), Whites (65.84% vs 65.79%), higher income brackets (26.13% vs 23.85%), and those with comorbidities like hypertension (71.12% vs 69.89%), dyslipidemia (42.47% vs 34.98%), obesity (13.63% vs 10.19%), and alcohol abuse (1.61% vs 1.34%). In regression analysis, VDD in MM patients correlated with higher morbidity (adjusted odds ratio (aOR): 1.24, 95% confidence interval (95% CI): 1.14-1.36) and major disability (aOR: 1.26, 95% CI: 1.20-1.30). MM patients with VDD exhibit worse outcomes, underscoring the importance of recognizing and managing VDD promptly. Further prospective studies are needed to validate our findings and explore the impact of vitamin D supplementation on MM patient outcomes.

Health care resource utilization in Medicare beneficiaries obtaining medication synchronization

BackgroundAn appointment-based medication synchronization (ABMS) is a service whuch aligns patients’ chronic medications to a predetermined routine pickup date and includes a comprehensive medication review or other clinical appointment at the pharmacy. Objective(s)We compared healthcare utilization outcomes (outpatient, inpatient, emergency department visits, and pharmacy utilization) of Medicare beneficiaries enrolled in a med-sync program to beneficiaries not enrolled in such a program. MethodsThis retrospective cohort study included Medicare beneficiaries obtaining medications from pharmacies providing ABMS. All Medicare inpatient, outpatient, emergency, and pharmacy claims data from 2014 to 2016 obtained from the Research Data Assistance Center. These pharmacy claims were used to create med-sync (n = 13,193) and non–med-sync cohorts (n = 156,987). All patients were followed longitudinally for 12 months before and after a 2015 index or enrollment date. Baseline characteristics were used to create a logistic regression model for propensity score matching. A 1:1 greedy nearest neighbor matching algorithm was adapted for sequentially matching both cohorts. Difference in differences (DID) was used to compare mean changes in health care utilization outcomes (outpatient, inpatient, ED visits, and pharmacy utilization) between cohorts. ResultsAfter matching, 13,193 beneficiaries in each cohort were used for analysis. DIDs for mean of health care utilizations were statistically significantly lower in the med-sync cohort than the non–med-sync cohort for outpatient visits (DID 0.012, P = 0.0073) and pharmacy utilization (DID 0.013, P < 0.0001). There was not a statistically significant DID for inpatient and ED visits between cohorts. ConclusionOutpatient and pharmacy utilization changes were statistically significantly lower in the med-sync cohort than the non–med-sync cohort in the 12 months after enrollment. Lower pharmacy utilization could be caused by reducing duplicate prescriptions during synchronized refills or optimization of therapy during medication reviews if patients are enrolled in appointment-based model med-sync.

Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure

Medicare Advantage (MA) enrollment is rapidly expanding, yet Centers for Medicare & Medicaid Services (CMS) claims-based hospital outcome measures, including readmission rates, have historically included only fee-for-service (FFS) beneficiaries. To assess the outcomes of incorporating MA data into the CMS claims-based FFS Hospital-Wide All-Cause Unplanned Readmission (HWR) measure. This cohort study assessed differences in 30-day unadjusted readmission rates and demographic and risk adjustment variables for MA vs FFS admissions. Inpatient FFS and MA administrative claims data were extracted from the Integrated Data Repository for all admissions for Medicare beneficiaries from July 1, 2018, to June 30, 2019. Measure reliability and risk-standardized readmission rates were calculated for the FFS and MA cohort vs the FFS-only cohort, overall and within specialty subgroups (cardiorespiratory, cardiovascular, medicine, surgery, neurology), then changes in hospital performance quintiles were assessed after adding MA admissions. Risk-standardized readmission rates. The cohort included 11 029 470 admissions (4 077 633 [37.0%] MA; 6 044 060 [54.8%] female; mean [SD] age, 77.7 [8.2] years). Unadjusted readmission rates were slightly higher for MA vs FFS admissions (15.7% vs 15.4%), yet comorbidities were generally lower among MA beneficiaries. Test-retest reliability for the FFS and MA cohort was higher than for the FFS-only cohort (0.78 vs 0.73) and signal-to-noise reliability increased in each specialty subgroup. Mean hospital risk-standardized readmission rates were similar for the FFS and MA cohort and FFS-only cohorts (15.5% vs 15.3%); this trend was consistent across the 5 specialty subgroups. After adding MA admissions to the FFS-only HWR measure, 1489 hospitals (33.1%) had their performance quintile ranking changed. As their proportion of MA admissions increased, more hospitals experienced a change in their performance quintile ranking (147 hospitals [16.3%] in the lowest quintile of percentage MA admissions; 408 [45.3%] in the highest). The combined cohort added 63 hospitals eligible for public reporting and more than 4 million admissions to the measure. In this cohort study, adding MA admissions to the HWR measure was associated with improved measure reliability and precision and enabled the inclusion of more hospitals and beneficiaries. After MA admissions were included, 1 in 3 hospitals had their performance quintile changed, with the greatest shifts among hospitals with a high percentage of MA admissions.

MELD3.0 is superior to MELDNa and MELD for prediction of mortality in patients with cirrhosis: An external validation in a multi-ethnic population.

The model for end-stage liver disease (MELD) was updated to MELDNa and recently to MELD3.0 to predict survival of cirrhotic patients. We validated the prognostic performance of MELD3.0 and compared with MELDNa and MELD amongst cirrhotic inpatients. Demographical, clinical, biochemical, and survival data of cirrhotic inpatients in Singapore General Hospital (SGH) from 01 January 2018 to 31 December 2018, were studied retrospectively. Patients were followed up from first admission in 2018 until death or until 01 April 2023. Area under the receiver operating characteristic curves (AUROC) were computed for the discriminative effects of MELD3.0, MELDNa, and MELD to predict 30-, 90-, and 365-day mortalities. AUROC was compared with DeLong's test. The cutoff MELD3.0 score for patients at high risk of 30-day mortality was determined using Youden's Index. Survival curves of patients with MELD3.0 score above and below the cutoff were estimated with Kaplan-Meier method and compared with log-rank analysis. Totally 862 patients were included (median age 71.0 years [interquartile range, IQR: 64.0-79.0], 65.4% males, 75.8% Chinese). Proportion of patients with Child-Turcotte-Pugh classes A/B/C were 55.5%/35.5%/9.0%. Median MELD3.0/MELDNa/MELD scores were 12.2 (IQR: 8.7-18.3)/11.0 (IQR: 8.0-17.5)/10.3 (IQR: 7.8-15.0). Median time of follow-up was 51.9 months (IQR: 8.5-59.6). The proportion of 30-/90-/365-day mortalities was 5.7%/13.2%/26.9%. AUROC of MELD3.0/MELDNa/MELD in predicting 30-, 90-, and 365-day mortalities, respectively, were 0.823/0.793/0.783, 0.754/0.724/0.707, 0.682/0.654/0.644 (P < 0.05). Optimal cutoff to predict 30-day mortality was MELD3.0 > 19 (sensitivity = 67.4%, specificity = 82.4%). Patients with MELD3.0 > 19, compared with patients with MELD3.0 ≤ 19, had shorter median time to death (98.0 days [IQR: 28.8-398.0] vs 390.0 days [IQR: 134.3-927.5]), and higher proportion of 30-day mortality (68.8% vs 43.0%) (P < 0.001). MELD3.0 performs better than MELDNa and MELD in predicting mortality in cirrhotic inpatients. MELD3.0 > 19 predicts higher 30-day mortality.

Racial and gender disparities in utilization of outpatient total shoulder arthroplasties

Utilization in outpatient total shoulder arthroplasties (TSAs) has increased significantly in recent years. It remains largely unknown whether utilization of outpatient TSA differs across gender and racial groups. This study aimed to quantify racial and gender disparities both nationally and by geographic regions. 168,504 TSAs were identified using Medicare fee-for-service inpatient and outpatient claims data and beneficiary enrollment data from 2020 to 2022Q4. The percentage of outpatient cases, defined as cases discharged on the same day of surgery, was evaluated by racial and gender groups and by different census divisions. A multivariate logistics regression model controlling for patient sociodemographic information (White vs. non-White race, age, gender, and dual eligibility for both Medicare and Medicaid), hierarchical condition category (HCC) score, hospital characteristics, year fixed effects, and patient residency state fixed effects was performed. The TSA volume per 1000 beneficiaries was 2.3 for the White population compared with 0.8, 0.6, and 0.3 for the Black, Hispanic, and Asian population, respectively. A higher percentage of outpatient TSAs were in White patients (25.6%) compared with Black patients (20.4%) (P<.001). The Black TSA patients were also younger, more likely to be female, more likely to be dually eligible for Medicaid, and had higher HCC risk scores. After controlling for patient sociodemographic characteristics and hospital characteristics, the odds of receiving outpatient TSAs were 30% less for Black than the White group (odds ratio 0.70). Variations were observed across different census divisions, with South Atlantic (0.67, P<.01), East North Central (0.56, P<.001), and Middle Atlantic (0.36, P<.01) being the 4 regions observed with significant racial disparities. Statistically significant gender disparities were also found nationally and across regions, with an overall odds ratio of 0.75 (P<.001). Statistically significant racial and gender disparities were found nationally in outpatient TSAs, with Black patients having 30% (P<.001) fewer odds of receiving outpatient TSAs than White patients, and female patients with 25% (P<.001) fewer odds than male patients. Racial and gender disparities continue to be an issue for shoulder arthroplasties after the adoption of outpatient TSAs.

Epidemiology and Comorbidities of Vestibular Disorders: Preliminary Findings of the AVOCADO Study.

Studies on incidence and prevalence of vestibular disorders tend to focus on small pockets of patients recruited from specialized clinics and often exclude measures of vestibular function. The objectives of the study were to characterize patients with common vestibular disorders, estimate the prevalence of common vestibular disorders, and ascertain whether patients with vestibular disorders experience increased risks of falls and morbidity. This retrospective cohort study includes both inpatient and outpatient routine clinical care data culled from a nationally representative, population-based sample. Patients were included if their record in the TriNetX Diamond Cohort comprised at least one vestibular function test or vestibular diagnosis. The main outcome measures were diagnosis with a vestibular disorder, a fall, or a common medical comorbidity (e.g., diabetes, cerebrovascular disease). The cohort includes n = 4,575,724 patients, of which 55% (n = 2,497,136) had a minimum of one vestibular diagnosis. Patients with vestibular diagnoses were 61.3 ± 16.6 years old (mean ± standard deviation), 67% women, 28% White race (69% unknown race), and 30% of non-Hispanic or Latino ethnicity (66% unknown ethnicity). The prevalence of vestibular disorders was estimated at 2.98% (95% confidence interval [CI]: 2.98-2.98%). Patients with vestibular diagnoses experienced a significantly greater odds of falls (odds ratio [OR] = 1.04; 95% CI: 1.02-1.05), cerebrovascular disease (OR = 1.42; 95% CI: 1.40-1.43), ischemic heart disease (OR = 1.17; 95% CI: 1.16-1.19), and diabetes (OR = 1.14; 95% CI: 1.13-1.15), among others. Vestibular disorders affect an estimated 3% of the U.S. population, after weighting. Patients with these disorders are at greater risk for many common, consequential medical conditions.

Clinical outcomes, demographics and associative analysis of lung cancer patients with Lambert-Eaton myasthenic syndrome: Insights from the National Inpatient Sample (NIS) database.

e20134 Background: Lambert-Eaton myasthenic syndrome (LEMS) is a rare neuromuscular junction disorder that may present as a paraneoplastic syndrome or a primary autoimmune disorder. Approximately 60% of LEMS patients have an underlying tumor, with the paraneoplastic form predominantly associated with small cell lung cancer (SCLC). Understanding the clinical outcomes and risks associated in lung cancer patients with LEMS is crucial in effective management of such patients. Methods: This retrospective study utilized inpatient hospitalization data from the National Inpatient Sample (NIS) between January 1, 2016, and December 31, 2019. Data of patients with a primary or secondary discharge diagnosis of lung cancer (ICD10-CM codes C34, C78.0, C46.5, D02.2) were obtained. Then, out of this population, we identified Lambert-Eaton myasthenic syndrome with ICD-10 codes (G70.80, G70.81, G73.1). The objective was to run a descriptive analysis of clinical outcomes, risks, demographics and associations of LEMS in patients with lung cancer. Results: A total of 204 cases of lung cancer hospitalizations with LEMS were analyzed. The mean age was 68.23 years, with a slight female (51.72%) preponderance as compared to male (48.28%). Race distribution revealed increased prevalence in White Caucasians (83%), followed by Black (7%), Hispanic (4.5%), Asian or Pacific Islander (3%), Native American (0.5%), and Other (2%). The majority were covered by Medicare (66.33%), followed by private insurance (26.13%). The mortality rate was 8.9%, with a mean length of stay of 10.35 days and mean hospital charges of $118,676. Clinical outcomes and risks were analyzed, with sepsis occurring in 17.6% of cases, pneumonia in 22.5%, and acute respiratory failure in 26.9%. Intubation/mechanical ventilation was necessary in 18.1% of cases. The incidence of urinary tract infection (UTI) was 16.7%, acute kidney injury (AKI) was 17.2%, and venous thromboembolism (VTE) was 6.4%. Additionally, interventions such as intravenous immunoglobulin (IVIG) therapy and blood transfusions were also noted. Conclusions: This study provides insights into the demographic characteristics and clinical outcomes of lung cancer patients with Lambert-Eaton myasthenic syndrome (LEMS). The findings highlight the need for comprehensive management strategies targeting associated complications like acute respiratory failure, intubation and need for mechanical ventilation, pneumonia, UTI, AKI, and VTE to improve patient outcomes, quality of care and effective patient education with regards to their diagnosis of LEMS in lung cancer.

A Preoperative Risk Assessment Tool for Predicting Adverse Outcomes among Total Shoulder Arthroplasty Patients

With the increased utilization of Total Shoulder Arthroplasty (TSA) in the outpatient setting, understanding the risk factors associated with complications and hospital readmissions becomes a more significant consideration. Prior developed assessment metrics in the literature either consisted of hard-to-implement tools or relied on postoperative data to guide decision-making. This study aimed to develop a preoperative risk assessment tool to help predict the risk of hospital readmission and other postoperative adverse outcomes. We retrospectively evaluated the 2019-2022(Q2) Medicare fee-for-service inpatient and outpatient claims data to identify primary anatomic or reserve TSAs and to predict postoperative adverse outcomes within 90days postdischarge, including all-cause hospital readmissions, postoperative complications, emergency room visits, and mortality. We screened 108 candidate predictors, including demographics, social determinants of health, TSA indications, prior 12-month hospital, and skilled nursing home admissions, comorbidities measured by hierarchical conditional categories, and prior orthopedic device-related complications. We used two approaches to reduce the number of predictors based on 80% of the data: 1) the Least Absolute Shrinkage and Selection Operator logistic regression and 2) the machine-learning-based cross-validation approach, with the resulting predictor sets being assessed in the remaining 20% of the data. A scoring system was created based on the final regression models' coefficients, and score cutoff points were determined for low, medium, and high-risk patients. A total of 208,634 TSA cases were included. There was a 6.8% hospital readmission rate with 11.2% of cases having at least one postoperative adverse outcome. Fifteen covariates were identified for predicting hospital readmission with the area under the curve of 0.70, and 16 were selected to predict any adverse postoperative outcome (area under the curve =0.75). The Least Absolute Shrinkage and Selection Operator and machine learning approaches had similar performance. Advanced age and a history of fracture due to orthopedic devices are among the top predictors of hospital readmissions and other adverse outcomes. The score range for hospital readmission and an adverse postoperative outcome was 0 to 48 and 0 to 79, respectively. The cutoff points for the low, medium, and high-risk categories are 0-9, 10-14, ≥15 for hospital readmissions, and 0-11, 12-16, ≥17 for the composite outcome. Based on Medicare fee-for-service claims data, this study presents a preoperative risk stratification tool to assess hospital readmission or adverse surgical outcomes following TSA. Further investigation is warranted to validate these tools in a variety of diverse demographic settings and improve their predictive performance.

Association between socioeconomic and psychosocial factors with use of interventional and surgical treatments and outcomes in patients with myocardial infarction – Inpatient data of the largest European health care system

BackgroundMyocardial infarction (MI) is an important driver of both morbidity and mortality on a global scale. Elucidating social inequalities may help to identify vulnerable groups as well as treatment imbalances and guide efforts to improve care for MI. MethodsAll hospitalized patient-cases with confirmed MI 2005-2020 in Germany were included in the study and stratified for socioeconomic or psychosocial factors (SPF) and the impact of SPF on treatment usage and adverse in-hospital events was analyzed. ResultsOverall, 4,409,597 hospitalizations of MI patients were included; of these, 17,297 (0.4 %) were coded with SPF. These patients were more often of female sex (49.4 % vs. 36.9 %, P<0.001), older (median 77.0 [IQR: 65.0–84.0] vs. 73.0 [62.0–81.0] years, P<0.001) and revealed an aggravated cardiovascular profile. Although SPF were independently associated with increased usage of cardiac catheterization (OR 1.174 [95 %CI 1.136-1.212]) and percutaneous coronary intervention (OR 1.167 [95 %CI 1.130-1.205]), they were accompanied by higher risk for a prolonged length of in-hospital stay >7 days (OR 1.236 [95 %CI 1.198-1.276]) and >10 days (OR 1.296 [95 %CI 1.254-1.339]). While SPF were associated with increased risk for deep venous thrombosis and/or thrombophlebitis (OR 1.634 [95 %CI 1.427-1.870]), pulmonary embolism (OR 1.337 [95 %CI 1.149-1.555]), and acute renal failure (OR 1.170 [95 %CI 1.105-1.240), these SPF were inversely associated with in-hospital case-fatality (OR 0.461 [95 %CI 0.433-0.490]). ConclusionsThis study demonstrates that SPF in hospitalized MI patients have significant impacts on treatments and outcomes. Fortunately, our data did not revealed an underuse of interventional treatments in MI patients with SPF.

Correlation of cost in teaching hospital with outcomes in patients with cardiac myxoma: A retrospective study using the national in-patient data sample (NIS).

e23062 Background: Cardiac myxoma (CM) is a rare cancer, benign but functionally malignant. It is the most common cardiac tumor and is more frequent in females in North America and Europe. Mortality has been associated with cardiac burden complications and the resolving capacity of the medical center to diagnose and treat these complications. Methods: A retrospective cohort analysis focused on adults admitted to hospitals between 2016 and 2020 with a primary diagnosis of CM. Data for this study were obtained from the NIS Database. The primary outcome was to determine if higher cost in teaching hospitals has an impact on mortality outcomes compared with non-teaching teaching hospitals. We looked at sociodemographic characteristics, length of stay (LoS), and complications as secondary outcomes. Hypothesis testing for categorical variables was tested with Chi-Square. Continuous variables were tested with a Student t-test. Statistical significance was defined as a two-tailed P value of &lt; 0.05. Results: A total of 3,744 patients met inclusion criteria: 3014 were within teaching hospitals (TH), and 730 were within no-teaching hospitals (NTH). The median age was similar in both settings: 64 years in TH and 68 years in NTH (p &lt; 0.001). LoS was higher in TH, 7.6 days, vs. NTH, 6.3 days (p = 0.05). Hospitalization costs were higher in TH, for a mean of $156,658 than in NTH, for a mean of $109,328 (p &lt; 0.001). Most patients were females, 1850 in TH and 405 in NTH (p = 0.24). Mortality was higher in TH 75 vs. NTH 45 (p = 0.02). The population was composed of mostly White patients (68% in TH vs. 73% in NTH), followed by Back (14% in TH vs. 9% in NTH), Hispanics (11% in TH vs. 9% in NTH), Asian (3% in TH vs. 6% in NTH) and Native American patients (5% in TH vs. 0% in NTH) (p = 0.22). Patients were located mainly in the south region (39% in TH vs. 43% in NTH), followed by a similar distribution between the West (20% in TH vs. 27% in NTH), Central (23% in TH vs. 20% in NTH) and East regions (20% in TH vs. 10% in NTH) (p = 0.02). The most frequent payer was Medicare, 56% in TH vs 64% in NTH and private insurance, 28% in TH vs 24% in NTH (p &lt; 0.001). Cardiac pathologies were the most frequent comorbidities: Congestive Heart Failure (p = 0.39), Cardiovascular disease (p = 0.18), hypertension (p = 0.1), and coronary artery disease (p = 0.44). The most common complications were cardiovascular, as demonstrated in previous studies. Conclusions: Cardiac Myxoma is a benign tumor with fatal severe complications that affect the more elderly female white population. Our study revealed a lack of significance between the outcome and the type of hospital in which patients received treatment. Similarly, mortality was not found to be driven by sociodemographic characteristics in our analysis.

Age-Related Differences in the Effectiveness of Rehabilitation to Improve Activities of Daily Living in Patients with Stroke: A Cross-Sectional Study.

This study aimed to reveal differences in the effectiveness of rehabilitation in improving activities of daily living (ADL) in patients with acute stroke across age groups and propose age-appropriate rehabilitation strategies. This observational study analyzed nationwide administrative data of inpatients admitted to hospitals with acute stroke between April 1, 2018, and March 31, 2020. The data included the average length of daily rehabilitation sessions, weekly frequency of rehabilitation sessions, and initiation of rehabilitation within 3 days. The primary outcome was the improvement in the Barthel Index (BI) score from admission to discharge. We classified the patients based on age and analyzed improvements in ADL according to rehabilitation characteristics. An increased daily rehabilitation dose was associated with improved ADL, except in patients aged &lt;65 years (risk ratio [95% confidence interval] in the 65-74, 75-85, and ≥85 years age groups: 1.20 [1.14‒1.27], 1.21 [1.15‒1.27], and 1.43 [1.34‒1.53], respectively; all p&lt;0.001 vs. &lt;65 years: 1.05 [0.98‒1.12]; p=0.18). A rehabilitation frequency of seven sessions per week was associated with improved ADL in the 75-85 years and ≥85 years age groups (1.06 [1.02‒1.10] and 1.08 [1.03‒1.13], respectively; both p&lt;0.001). The effects of initiating rehabilitation within 3 days on ADL post-admission did not differ across age groups. Increasing the daily dose of rehabilitation was significantly associated with improved ADL in all age groups while increasing the frequency of rehabilitation per week improved ADL in older and very old patients.

#75 Extracorporeal membrane oxygenation (ECMO) in patients with acute kidney injury (AKI): a prospective, observational, multi-center study

Abstract Background and Aims Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for patients with severe respiratory and/or cardiovascular failure. Acute kidney injury (AKI) is a frequent complication in ECMO, resulting in increased morbidity and mortality. We aim to evaluate impact of ECMO on AKI outcome in Kuwait. Method Demographics, comorbidities, management, and 30-day kidney and patient outcome data for adult inpatients with native kidneys with AKI who received ECMO in seven public hospitals in Kuwait from 1/January to 31/December 2021, were prospectively collected and analyzed. Results Total number of AKI cases during study period was 3744, but only 121 patients received ECMO, or only 3.2%, with mean age of 56.3 years; and mean baseline eGFR of 81.6 ml/min. Males were 62.8% of the cohort, and 91.7% of cases were hospital-acquired AKI. Only 21.5% had pre-existing CKD (mainly diabetic kidney disease), and only 26.5% were older than 65, however, 58.7% were diabetics, and 48% were hypertensive. COVID-19 infection was a cause for AKI in 69% of patients. ECMO was veno-venous in 90% of cases, and AKI developed before ECMO initiation in 62.8% of cases. Dialysis was provided for 92% with continuous kidney replacement therapy (CKRT) accounting for 97%, and 93% of patients were in ICU (all on inotropic support). At 30 days, 86.8% of the whole group died (91% of those died on dialysis), six patients remained alive on dialysis, and only four patients recovered kidney function completely. Conclusion Although ECMO utilization in patients with AKI is limited in our AKI cohort, and despite relatively young age and reasonable baseline eGFR for the cohort, ECMO is associated with high need for ICU admission, high incidence of AKI, high need for dialysis, and high mortality rates.