Background Psoriatic arthritis (PsA) is correlated with higher rates of major adverse cardiovascular events and autoimmune disorders than the general population, leading to more frequent hospitalizations. This study assessed the rates and characteristics of index and 30-day readmissions among adults hospitalized for PsA and evaluated the indications and predictors of 30-day readmissions across the United States. Methodology We analyzed the 2020 Nationwide Readmissions Database for adult PsA hospitalizations using the International Classification of Diseases, Tenth Revision, Clinical Modification codes. To compare baseline characteristics between index admissions and readmissions, we used chi-square tests. We used ranking commands to identify the most common indications for readmissions and multivariable Cox regression analysis to identify the predictors of readmissions. The primary endpoints were the rates and characteristics of index and 30-day readmissions. The secondary endpoint was the predictors of readmission within 30 days of index hospital discharge. Results Approximately 842 index hospitalizations for PsA were analyzed. Of these, 244 (29%) resulted in 30-day readmissions, with the primary causes being acute kidney failure, major depression, and heart failure. Readmitted patients had a mean age of 48.2 years (SD = 6.4 years) compared with 54.6 years (SD = 2.2 years) in index hospitalizations (p = 0.147). More readmitted patients were uninsured than index hospitalizations (18.6% vs. 4.4%; p = 0.015). The mean length of stay for readmissions was 7.2 days compared with 3.9 days for index admissions. The mean total hospital costs were US$31,424 for index admissions and US$60,147 for readmissions (p < 0.001). Significant differences in comorbidities such as hypertension (24.8% vs. 40.1%, p = 0.032), liver disease (29% vs. 7.9%, p = 0.020), uveitis (9.4% vs. 4.5%, p < 0.001), inflammatory bowel disease (8.6% vs. 3.8%, p < 0.001), and alcohol use disorder (29% vs. 7.8%, p = 0.002) were observed between readmissions and index admissions. Age <40 years (adjusted hazard ratio (AHR) = 2.35; p = 0.047), home healthcare (AHR = 5.87; p = 0.035), residence in the same state as the hospital (AHR = 1.24; p = 0.018), and secondary diagnoses of inflammatory bowel disease (AHR = 2.33; p < 0.001) or deep venous thrombosis (AHR = 3.80; p = 0.007) were correlated with an increased likelihood of readmission. Conclusions About one in three hospitalizations for PsA result in readmission within 30 days of initial discharge. Age <40 years, discharge to home healthcare, and a secondary diagnosis of inflammatory bowel disease or deep venous thrombosis were correlated with an increased likelihood of readmission.
Introduction The global burden of cardiovascular disease (CVD) has risen over the past decade, potentially escalating resource utilization, morbidity, and mortality. We analyzed trends in hospitalization for CVDs, outcomes of hospitalizations, and the impact of the COVID-19 pandemic on CVD hospitalizations between 2016 and 2020. Methods Adult CVD hospitalizations recorded in the 2016-2020 nationwide inpatient sample (NIS) were identified using major diagnostic categories (MDC- class 5). The NIS is the largest all-payer repository of all hospitalizations in the USA within a calendar year. We compared sociodemographic factors and outcomes (mortality, length of stay, and hospital charges) of CVD hospitalization before and during the pandemic using Pearson's χ2 tests. We used Stata ranking commands and ICD-10 (10th revision of the International Statistical Classification of Diseases and Related Health Problems) codes to identify the most recurring diagnoses associated with CVD mortality during the study period. Trends in mortality and resource use were assessed using the Jonckheere-Terpstra trend test. Hospital charges were adjusted for inflation using the Medical Expenditure Panel Survey index. We used stepwise multivariate logistic regression analyses (P ≤ 0.05 for entry; P > 0.10 for removal) to identify covariates associated with cardiovascular mortality during the study period. Results Hospitalizations for CVDs rose from 4,283,502 in 2016 to 4,635,246 in 2019 (Ptrend < 0.001) and declined to 3,865,399 in 2020. 452,930 mortalities were recorded during the study period. In-hospital mortality rose from 111,090 (2.6%) in 2016 to 118,825 (2.8%) in 2020 (Ptrend < 0.001). Compared with the prepandemic years, mortality rates were higher during the pandemic (108,231 [2.8%] vs. 445,373 [2.5%]; P<0.001), and increased in hospitalizations for hypertensive heart disease with chronic kidney disease (CKD) (15,585 [14.4%] vs. 45,873 [10.3%]; P<0.001), hypertensive heart disease with heart failure (7,468 [6.9%] vs. 21,378 [4.8%]), ventricular tachycardia (2,056 [1.9%] vs. 7,571 [1.7%]; P=0.022), and peripheral angiopathy with gangrene (1,191 [1.1%] vs. 3,118 [0.7%]; P<0.001). CVD hospitalizations totaled 80.3 million hospital days and 39.7 million hospital procedures during the period. The mean number of procedures (3 vs. 2) and mean length of hospital stay (5.6 vs. 4.5 days) increased during the pandemic (P<0.001). The mean hospital cost for CVD increased from US$ 69,394 in 2016 to US$ 89,728 in 2020 (Ptrend < 0.001). Conclusion CVD mortality increased despite increased resource use over the study period. Hospitalizations during the pandemic had poorer mortality and resource use outcomes than those in the preceding years.
BACKGROUND/OBJECTIVES: Recent trends indicate a rise in the incidence of critical limb ischemia (CLI) among younger adults. This study examines trends in CLI hospitalization and outcomes among young adults with peripheral arterial disease (PAD) in the United States. METHODS: Adult hospitalizations (18-40 years) for PAD/CLI were analyzed from the 2016-2020 nationwide inpatient sample database using ICD-10 codes. Rates were reported per 1000 PAD or 100,000 cardiovascular disease admissions. Outcomes included trends in mortality, major amputations, revascularization, length of hospital stay (LOS), and hospital costs (THC). We used the Jonckheere-Terpstra tests for trend analysis and adjusted costs to the 2020 dollar using the consumer price index. RESULTS: Approximately 63,045 PAD and 20,455 CLI admissions were analyzed. The mean age of the CLI cohort was 32.7 ± 3 years. The majority (12,907; 63.1 %) were female and white (11,843; 57.9 %). Annual CLI rates showed an uptrend with 3265 hospitalizations (227 per 1000 PAD hospitalizations, 22.7 %) in 2016 to 4474 (252 per 1000 PAD hospitalizations, 25.2 %) in 2020 (Ptrend<0.001), along with an increase in PAD admissions from 14,405 (188 per 100,000, 0.19 %) in 2016 to 17,745 (232 per 100,000, 0.23 %%) in 2020 (Ptrend<0.0001). Annual in-hospital mortality increased from 570 (2.8 %) in 2016 to 803 (3.9 %) in 2020 (Ptrend = 0.001) while amputations increased from 1084 (33.2 %) in 2016 to 1995 (44.6 %) in 2020 (Ptrend<0.001). Mean LOS increased from 5.1 (SD 2.7) days in 2016 to 6.5 (SD 0.9) days in 2020 (Ptrend = 0.002). The mean THC for CLI increased from $50,873 to $69,262 in 2020 (Ptrend<0.001). The endovascular revascularization rates decreased from 11.5 % (525 cases) in 2016 to 10.7 % (635 cases) in 2020 (Ptrend = 0.025). Surgical revascularization rates also increased from 4.9 % (225 cases) in 2016 to 10.4 % (600 cases) in 2020 (Ptrend = 0.041). CONCLUSION: Hospitalization and outcomes for CLI worsened among young adults during the study period. There is an urgent need to enhance surveillance for risk factors of PAD in this age group.
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.
Background: This study examined ventilator utilization, ventilator-associated pneumonia (VAP) incidence, and mortality among non-COVID patients requiring mechanical ventilation during 2019 and 2020. Methods: The Nationwide Inpatient Sample database was queried for adult hospitalizations with mechanical ventilation using ICD-10 procedure codes, excluding COVID-19 patients and minors. VAP rates were calculated per 1000 adults ventilated. Outcomes included ventilation rates, VAP incidence, and mortality odds between prepandemic and pandemic-exposed hospitalizations. Results: Analyzing 1,533,775 hospitalizations, the pandemic-exposed had more male patients (57.6% vs 56.2%, P < 0.001) and nonelective admissions (95.4% vs 94.1%; P < 0.001). Non-COVID patients had a 4.5% increase in ventilator utilization in the pandemic compared with the prepandemic period (P < 0.001). Pandemic VAP incidence was 17 cases per 1000 adults ventilated, compared to 11 cases in the prepandemic period (P < 0.001). Mortality rates increased from 26.9% to 31.4%, with 314 mortalities per 1000 ventilated pandemic patients compared with 269 in the prepandemic period (adjusted odds ratio 1.13; 95% confidence interval 1.12-1.15; P < 0.001). Conclusion: Significant ventilator utilization, VAP rates, and mortality increases occurred during the COVID-19 pandemic.
Objectives: Surgery at large teaching hospitals is reportedly associated with more favourable outcomes. However, these results are not uniformly consistent across all surgical patients. This study aimed to assess potential disparities in clinical outcomes by hospital type for patients with intestinal obstruction. Material and Methods: 2018 NIS was queried for all adult non-elective admissions for intestinal obstruction. Hospitals were classified as either smallmedium non-teaching hospitals or large teaching hospitals. Multivariate regression analyses were used to assess the association between hospital type and inpatient mortality, access to surgery, admission duration, non-home discharges, hospital costs, and postoperative complications. Results: After adjustments, admission to large teaching hospitals was not associated with a reduction in inpatient mortality (AOR= 0.73; 95% CI= 0.41- 1.31; p= 0.29), lower likelihood of surgery (AOR= 0.93; 95% CI= 0.58-1.48; p= 0.76) or increased chance of early surgery (p= 0.97). Patients admitted to large teaching hospitals had shorter hospital stays (p= 0.002) and were less likely to be discharged to other acute care hospitals (AOR= 0.94; 95% CI= 0.80-0.94; p= 0.04). Admission to large teaching hospitals was not associated with a reduction in perioperative complications (AOR= 1.04; 95% CI= 0.80- 1.28; p= 0.91) or significantly higher hospital costs (mean increase= 1518; 95% CI= 1891-4927; p= 0.38). Conclusion: Admission to large teaching hospitals does not necessarily result in better patient outcomes. Merely considering the teaching status of the hospital in isolation cannot explain the diverse outcomes observed for this condition.
INTRODUCTION: This study seeks to confirm the risk factors linked to cardiovascular (CV) events in chronic kidney disease (CKD), which have been identified as CKD-related. We aim to achieve this using a larger, more diverse, and nationally representative dataset, contrasting with previous research conducted on smaller patient cohorts. METHODS: The study utilized the nationwide inpatient sample database to identify adult hospitalizations for CKD from 2016 to 2020, employing validated ICD-10-CM/PCS codes. A comprehensive literature review was conducted to identify both traditional and CKD-specific risk factors associated with CV events. Risk factors and CV events were defined using a combination of ICD-10-CM/PCS codes and statistical commands. Only risk factors with specific ICD-10 codes and hospitalizations with complete data were included in the study. CV events of interest included cardiac arrhythmias, sudden cardiac death, acute heart failure, and acute coronary syndromes. Univariate and multivariate regression models were employed to evaluate the association between CKD-specific risk factors and CV events while adjusting for the impact of traditional CV risk factors such as old age, hypertension, diabetes, hypercholesterolemia, inactivity, and smoking. RESULTS: A total of 690,375 hospitalizations for CKD were included in the analysis. The study population was predominantly male (375,564, 54.4%) and mostly hospitalized at urban teaching hospitals (512,258, 74.2%). The mean age of the study population was 61 years (SD 0.1), and 86.7% (598,555) had a Charlson comorbidity index (CCI) of 3 or more. At least one traditional risk factor for CV events was present in 84.1% of all CKD hospitalizations (580,605), while 65.4% (451,505) included at least one CKD-specific risk factor for CV events. The incidence of CV events in the study was as follows: acute coronary syndromes (41,422; 6%), sudden cardiac death (13,807; 2%), heart failure (404,560; 58.6%), and cardiac arrhythmias (124,267; 18%). A total of 91.7% (113,912) of all cardiac arrhythmias were atrial fibrillations. Significant odds of CV events on multivariate analyses included: malnutrition (aOR: 1.09; 95% CI: 1.06-1.13; p<0.001), post-dialytic hypotension (aOR: 1.34; 95% CI: 1.26-1.42; p<0.001), thrombophilia (aOR: 1.46; 95% CI: 1.29-1.65; p<0.001), sleep disorder (aOR: 1.17; 95% CI: 1.09-1.25; p<0.001), and post-renal transplant immunosuppressive therapy (aOR: 1.39; 95% CI: 1.26-1.53; p<0.001). CONCLUSION: The study confirmed the predictive reliability of malnutrition, post-dialytic hypotension, thrombophilia, sleep disorders, and post-renal transplant immunosuppressive therapy, highlighting their association with increased risk for CV events in CKD patients. No significant association was observed between uremic syndrome, hyperhomocysteinemia, hyperuricemia, hypertriglyceridemia, leptin levels, carnitine deficiency, anemia, and the odds of experiencing CV events.
Background Obesity, a widespread national epidemic that impacts one in three U.S. adults, is closely linked with the development and exacerbation of cardiovascular disease. The objective of this study was to assess and contrast the outcomes of adults, both obese and non-obese, who present with cardiac chest pain in the emergency department (ED). Methodology A retrospective analysis of the 2020 Nationwide Emergency Department Sample database was conducted. Multivariate regression models were utilized to examine the association between obesity and mortality, discharge disposition, number of procedures, complications, and hospital costs. Results No significant difference in mortality odds was observed between obese and non-obese patients presenting with cardiac chest pain in the ED (adjusted odds ratio (aOR) = 0.92; 95% confidence interval (CI) = 0.59-1.46; p = 0.736). However, obesity was found to be associated with a decreased likelihood of being discharged home from the ED (aOR = 0.57; 95% CI = 0.52-0.63; p < 0.001), as well as an increased likelihood of hospital admission from the ED (aOR = 1.66; 95% CI = 1.53-1.81; p < 0.001). Obesity also correlated with higher odds of non-home discharge (aOR = 1.74; 95% CI = 1.54-1.97; p < 0.001), elevated mean total hospital costs (mean = $13,345 vs. $9,952; mean increase = $3,360; 95% CI = $2,816-$3,904; p < 0.001), and increased risks of cardiac arrests (aOR = 1.52; 95% CI = 1.05-1.88; p < 0.001) and acute respiratory failures (aOR = 1.43; 95% CI = 1.25-1.96; p < 0.001). Obese patients with cardiac pain underwent more procedures on average than non-obese patients (19 vs. 15; aOR = 3.57; 95% CI = 3.04-4.11; p < 0.001). Conclusions Obesity is associated with higher odds of hospital admission from the ED, non-home discharges, higher total hospital costs, and a greater number of procedures.
INTRODUCTION: Despite considerable research on the comparison of enteral and parenteral nutrition in patients with acute pancreatitis, there is an ongoing debate about the optimal timing of nutrition initiation, invasiveness of interventions, impact on outcomes, and patient tolerance. Given the gap that still exists in the literature, we investigated the relationship between the mode of nutrition and critical outcomes such as mortality rates, inpatient complications, length of hospitalization, and discharge disposition, using comprehensive national-level data. In addition, we investigated the impact of early enteral nutrition on outcomes in acute pancreatitis. METHODS: All adult discharges for acute pancreatitis between 2016 and 2018 were analyzed from the National (Nationwide) Inpatient Sample (NIS). Discharges of minors and those involving mixed nutrition were excluded from the analysis. Enteral nutrition and parenteral nutrition subgroups were identified using the International Classification of Diseases, 10th revision (ICD-10) codes. Disease severity was defined using the 2013 revised Atlanta Classification of Acute Pancreatitis, along with the All Patient Refined Diagnosis Related Group (APR-DRG)'s severity of illness and likelihood of mortality variables. Complications were identified using ICD-10 codes from the secondary diagnoses variables within the NIS dataset. Multivariable logistic regression analyses were employed to assess associations between the mode of nutrition and the outcomes of interest. RESULTS: A total of 379,410 hospitalizations were studied. About 2,011 (0.53%) received enteral nutrition, while 4,174 (1.1%) received parenteral nutrition. The mean age of the study was 51.7 years (SD 0.1). About 2,280 mortalities were recorded in the study. After adjustments, enteral nutrition was associated with significantly lower odds of mortality (adjusted OR (aOR): 0.833; 95%CI: 0.497-0.933; P<0.001). Parenteral nutrition was linked with significantly greater odds of mortality (aOR: 6.957; 95%CI: 4.730-10.233; P<0.001). Both enteral nutrition and parenteral nutrition were associated with augmented odds of complications and prolonged hospitalization (P<0.001) compared to normal oral feeding. Initiation of enteral nutrition within 24 hours of admission did not improve the odds of mortality in this study (aOR: 5.619; 95%CI: 1.900-16.615; P=0.002). CONCLUSION: Enteral nutrition demonstrates better outcomes in mortality rates and systemic complications compared to parenteral nutrition in patients unable to maintain normal oral feeding.
Background Alcoholic liver disease (ALD) is known to contribute to the onset of insulin resistance (IR), which has been speculated to worsen the outcome of the disease. This study examines the impact of IR on the severity and outcomes of hospitalizations for ALD. Methods A retrospective study was performed using the combined 2016 to 2018 Nationwide Inpatient Sample. All admissions for ALD were included. The association between IR and the clinical and resource utilization of hospitalizations for ALD was analyzed using multivariate regression models to adjust for confounding variables. Results About 294,864 hospitalizations for ALD were analyzed. Of these, 383 cases (0.13%) included a secondary diagnosis of IR, while the remaining 294,481 hospitalizations (99.87%) were considered as controls. The incidence of IR in the study was 1.3 per 1000 admissions for ALD. IR was not associated with any significant difference in the likelihood of mortality (adjusted odds ratio (aOR): 1.10, 95% confidence interval (CI): 0.370-3.251, p=0.867), acute liver failure, or the incidence of complications (aOR: 0.83, 95% CI: 0.535-1.274, p<0.001). However, the study found that ALD hospitalizations with IR had longer hospital stays (7.3 days vs. 6.0 days: IRR, 1.17; 95% CI, 1.09-1.26; p<0.001) and higher mean hospital costs ($91,124 vs. $65,290: IRR, 1.32; 95% CI, 1.20-1.46; p<0.001) compared to patients without IR. Conclusion IR alone does not worsen the outcomes of patients with ALD, and its association with longer hospital stays and higher mean hospital costs could be due to other confounding factors.
Background Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease characterized by various clinical manifestations. Despite efforts to improve outcomes, mortality rates remain high, and certain disparities, including gender, may influence prognosis and mortality rates in SLE. This study aims to examine the gender disparities in outcomes of SLE hospitalizations in the US. Methods We conducted a retrospective analysis of the Nationwide Inpatient Sample (NIS) database between 2016 and 2020. The NIS database is the largest publicly available all-payer database for inpatient care in the United States, representing approximately 20% of all hospitalizations nationwide. We selected every other year during the study period and included hospitalizations of adult patients (≥18 years old) with a primary or secondary diagnosis of SLE using International Classification of Diseases, Tenth Revision (ICD-10) codes. The control population consisted of all adult hospitalizations. Multivariate logistic regression was used to estimate the strength of the association between gender and primary and secondary outcomes. The regression models were adjusted for various factors, including age, race, median household income based on patients' zip codes, Charlson comorbidity index score, insurance status, hospital location, region, bed size, and teaching status. To ensure comparability across the years, revised trend weights were applied as the healthcare cost and use project website recommends. Stata version 17 (StataCorp LLC, TX, USA) was used for the statistical analyses, and a two-sided P-value of less than 0.05 was considered statistically significant. Results Among the 42,875 SLE hospitalizations analyzed, women accounted for a significantly higher proportion (86.4%) compared to men (13.6%). The age distribution varied, with the majority of female admissions falling within the 30- to 60-year age range, while most male admissions fell within the 15- to 30-year age category. Racial composition showed a slightly higher percentage of White Americans in the male cohort compared to the female cohort. Notably, more Black females were admitted for SLE compared to Black males. Male SLE patients had a higher burden of comorbidities and were more likely to have Medicare and private insurance, while a higher percentage of women were uninsured. The mortality rate during the index hospitalization was slightly higher for men (1.3%) compared to women (1.1%), but after adjusting for various factors, there was no statistically significant gender disparity in the likelihood of mortality (adjusted odds ratio (aOR): 1.027; 95% confidence interval (CI): 0.570-1.852; P=0.929). Men had longer hospital stays and incurred higher average hospital costs compared to women (mean length of stay (LOS): seven days vs. six days; $79,751 ± $5,954 vs. $70,405 ± $1,618 respectively). Female SLE hospitalizations were associated with a higher likelihood of delirium, psychosis, and seizures while showing lower odds of hematological and renal diseases compared to men. Conclusion While women constitute the majority of SLE hospitalizations, men with SLE tend to have a higher burden of comorbidities and are more likely to have Medicare and private insurance. Additionally, men had longer hospital stays and incurred higher average hospital costs. However, there was no significant gender disparity in the likelihood of mortality after accounting for various factors.
PURPOSE: Frailty is reportedly associated with poorer outcomes among surgical patients. Using a coding-based frailty tool, we investigated the impact of frailty on clinical outcomes and resource utilization for urolithiasis hospitalizations. METHODS: A cohort study using the 2018 National Inpatient Sample database. All adult elective hospitalizations for urolithiasis were included in the study. The study population was categorized into FRAIL and non-frail (nFRAIL) cohorts using the Johns Hopkins Adjusted Clinical Groups frailty clusters. The association between frailty and clinical and financial outcomes was evaluated using multivariate regression models. RESULTS: About 1028 (14.9%) out of 6900 total hospitalizations were frail. Frailty was not associated with a significant increase in the odds of in-hospital mortality (adjusted odds ratio (aOR) 1.73, 95% CI 0.15-20.02) or length of hospital stay, but was associated with a lower chance of surgery within 24 h of admission (aOR 0.65, 95% CI 0.48-0.90, P = 0.008). A higher Charlson index was independently associated with an over 100% increase in the odds of in-hospital mortality (aOR 2.091, 95% CI 1.53-2.86, P < 0.001). Frail patients paid $15,993 higher in total hospital costs and had a higher likelihood of non-home discharges (aOR 4.29, 95% CI 2.74-6.71, P < 0.001) and peri-operative complications (aOR 1.77, 95% CI 1.14-2.73, P = 0.01). CONCLUSION: Frailty was correlated with unfavorable outcomes, except mortality and prolonged hospital stay. Incorporating frailty evaluation into risk models has the potential to enhance patient selection and preparation for urolithiasis intervention.
Frailty , Kidney Calculi , Adult , Humans , Cohort Studies , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Hospitalization , Frailty/epidemiology , Frailty/complications , Length of Stay , Kidney Calculi/complications , Risk Factors , Retrospective Studies
Background The use of cannabis has been associated with an array of multi-systemic physiological effects. However, the medical literature on the potential role of cannabinoids in the management and outcomes of thyrotoxicosis remains scarce. We studied the association between cannabis use and orbitopathy, dermopathy, and the length of hospital stay for thyrotoxicosis admissions. Methods A thorough analysis was conducted on adult hospitalizations in 2020 with a primary discharge diagnosis of thyrotoxicosis, using data from the Nationwide Inpatient Sample (NIS). To ensure data completeness and consistency, hospitalizations with missing or incomplete information, as well as those involving patients under 18 years of age, were excluded from the study. The remaining study sample was categorized into two groups based on the presence or absence of cannabis use, as determined by ICD-10-CM/PCS codes. Subtypes of orbitopathy, dermopathy, and potential confounding factors were identified based on previous literature and defined using validated ICD-10-CM/PCS codes. The association between cannabis use and the outcomes was evaluated using multivariate regression analysis. The primary focus was on thyroid orbitopathy, while dermopathy and the average length of hospital stay were considered as secondary outcomes. Results A total of 7,210 hospitalizations for thyrotoxicosis were included in the analysis. Among them, 404 (5.6%) were associated with cannabis use, while 6,806 (94.4%) were non-users serving as controls. Cannabis users were predominantly female (227, 56.3%), which was similar to the control group (5,263, 73%), and they were primarily of Black descent. Notably, the cohort of cannabis users was significantly younger than the control group (37.7 ± 1.3 vs. 63.6 ± 0.3). Upon conducting multivariate regression analysis, it was found that cannabis use was linked to a significant increase in the odds of orbitopathy among patients with thyrotoxicosis (AOR: 2.36; 95% CI: 1.12-4.94; P = 0.02). Additionally, a history of tobacco smoking was also correlated with higher odds of orbitopathy in the study (AOR: 1.21; 95% CI: 0.76-1.93; p = 0.04). However, no significant association was observed between cannabis use and the odds of dermopathy (AOR: 0.88; 95% CI: 0.51-1.54; p = 0.65) or the average length of hospital stay (IRR: 0.44; 95% CI: 0.58-1.46; p = 0.40). Conclusion The study identified a significant association between cannabis use and increased odds of orbitopathy in patients with thyrotoxicosis. Additionally, a history of tobacco smoking was also found to be correlated with augmented odds of orbitopathy.
Childhood poisoning is a prevalent and significant public health issue, with a higher incidence among children under the age of five due to their natural inquisitiveness and impulsive behavior. In order to gain a better understanding of the burden and outcomes of acute poisoning in children, this study utilized data from two comprehensive databases: the 2018 Nationwide Emergency Department Sample and the National (Nationwide) Inpatient Sample. A total of 257,312 hospital visits were analyzed, with 85.5% being emergency department visits and 14.5% being inpatient admissions. Drug overdose emerged as the most commonly known cause of poisoning in both emergency and inpatient settings. While alcohol poisoning was the predominantly known cause of non-pharmaceutical poisoning in the inpatient setting, household soaps and detergents were more common in the emergency setting. Among the identified pharmaceutical agents, non-opioid analgesics and antibiotics were the most frequently implicated. However, a significant proportion of the poisoning cases were caused by unidentified substances (26.8% in the pharmaceutical group and 72.2% in the non-pharmaceutical group). There were 211 deaths in total and further analysis revealed that patients with higher Charlson indices and hospital stays exceeding seven days were associated with increased likelihood of mortality. Additionally, admission to teaching hospitals or hospitals located in the western region of the country was linked to an increased likelihood of an extended hospital stay.
Background The effect of geriatric events (GEs) on outcomes of acute coronary syndrome (ACS) admissions is poorly understood. We evaluated the prevalence and impact of GEs on clinical outcomes and resource utilization of older patients admitted with ACS. Methods Using the 2018 National (Nationwide) Inpatient Sample, we analyzed all elective hospitalizations for ACS in older adults (age ≥ 65 years) and a younger reference group (age 55-64). Nationally-weighted descriptive statistics were generated for GEs based on ACS subtypes. Multivariate logistic regression models controlling for comorbidities, frailty, patient procedure, and hospital-level variables were used to estimate the association of age with GEs and GEs with outcomes. Results Out of 403,760 admissions analyzed, 71.9% occurred in older adults (≥65 years). The overall rate of any GE in older adults with ACS was 3.4%. With advancing age, the number of GEs was found to significantly increase (p<0.001). After adjustments, having any GE was found to have a significant impact on mortality (adjusted OR (AOR): 1.32; 95%CI: 1.15-1.54; p < 0.001), post-myocardial infarction (MI) complications (AOR: 1.53; 95%CI: 1.36-1.71; p < 0.001), prolonged hospital stays (AOR: 2.97; 95%CI: 2.56-3.30; p < 0.001), and non-home (acute care and skilled nursing home) discharge (AOR: 1.68; 95%CI: 1.53-1.85; p < 0.001). The occurrence of GEs was also associated with a substantial increase in total hospitalization costs with a mean increase of $48,325.22 ± $5,539 (p < 0.001). A dose-response relationship was established between GEs and all outcomes. Limitations of the study included the use of retrospective data and an administrative database. Conclusion Geriatric events were found to significantly worsen outcomes for older adults with ACS. There is, therefore, a need for increased awareness and effective management of GEs in older adults to improve their health outcomes and reduce the burden on the healthcare system.
BACKGROUND: A large body of research has been conducted on the "weekend effect," which is the reportedly increased risk of adverse outcomes for patients admitted to the hospital on weekends versus those admitted on weekdays. This effect has been researched in numerous patient populations, including sub-populations of end-stage renal disease (ESRD) patients, with varying conclusions. OBJECTIVES: To assess whether differences in in-hospital mortality, access to renal replacement therapy (RRT), time to RRT, and other important outcomes exist in patients with ESRD or patients on RRT admitted on the weekend versus weekdays. DESIGN AND SETTING: A retrospective cohort study was conducted using the 2018 Nationwide Inpatient Sample. Patients were included if they were adults with a principal or secondary diagnosis of ESRD or if they were admitted with a diagnosis related to initiation, maintenance, or complications of RRT. Patients admitted between midnight Friday and midnight Sunday were classified as weekend admissions. Primary outcome measurements included in-hospital mortality, in-hospital dialysis (peritoneal dialysis, hemodialysis, and continuous RRT), and renal transplantation (TP). Secondary outcomes included length of hospital stay (LOS) and total hospitalization charges. RESULTS: The study included 1,144,385 patients who satisfied the inclusion criteria. Compared with patients admitted on weekdays, patients with ESRD admitted on weekends had 8% higher adjusted odds of in-hospital mortality (OR: 1.08; 95% CI: 1.03-1.13; p = 0.002), 9% lower adjusted OR of any RRT over the weekend than on weekdays (OR: 0.91; 95% CI: 0.89-0.93; p = 0.000), lower RRT rates (within 24 hours) (adjusted OR: 0.71; 95% CI: 0.70-0.73; p = 0.000), higher odds of renal TP (adjusted OR: 1.32; 95% CI: 1.20-1.45; p = 0.000), and higher hospitalization charges (mean adjusted increase: $1451; p = 0.07). LIMITATIONS: The limitations of the study include the use of retrospective data and an administrative database. CONCLUSION: Compared with weekday admissions, patients with ESRD admitted on weekends had higher odds of mortality, higher mean hospitalization charges, and higher odds of renal TP. They had lower overall RRT rates, and a longer time to first RRT. However, the average LOS was similar for both weekend and weekday admissions.
BACKGROUND: Longitudinal data on the trends in systemic lupus erythematous (SLE) readmissions are limited. We aimed to study trends in 30-day readmissions of patients admitted for SLE flares and all SLE hospitalizations in the USA from 2010 to 2018. MATERIALS AND METHODS: Data were obtained from the nationwide readmission database (NRD). We performed a retrospective 9-year longitudinal trend analysis using the 2010-2018 NRD databases. We searched for index hospitalizations of adult patients diagnosed with SLE using the International Classification of Diseases (ICD) codes. Elective and traumatic readmissions were excluded from the study. Multivariable logistic and linear regression analyses were used to calculate the adjusted p value trend for categorical and continuous outcomes, respectively. RESULTS: The 30-day readmissions following index admissions of all SLE patients and for SLE flares decreased from 15.6% in 2010 to 13.3% in 2018 (adjusted p trend < 0.0001), and 20.3% in 2010 to 17.6% in 2018 (adjusted p trend = 0.009) respectively. Following SLE-flare admissions, hospital length of stay (LOS) decreased from 6.7 to 6 days (adjusted p trend = 0.045), while the proportion with a Charlson comorbidity index (CCI) score ≥ 3 increased from 42.2 to 54.4% (adjusted p trend < 0.0001) during the study period. SLE and its organ involvement, sepsis, and infections were common reasons for 30-day readmissions. CONCLUSION: About 1 in 5 SLE-flare admissions resulted in a 30-day readmission. The 30-day readmissions following index hospitalization for SLE flares and all SLE hospitalizations have decreased in the last decade. Although the readmission LOS was reduced, the CCI score increased over time. Key Points ⢠The 30-day readmissions following index hospitalization for SLE flares and all SLE hospitalizations have reduced in the last decade although the CCI score increased over time. ⢠SLE, its organ involvement, and infections are common reasons for readmission. ⢠Infection control strategies, optimal management of SLE and its complications, and emphasis on an ideal transition of care are essential in reducing SLE readmissions.
Lupus Erythematosus, Systemic , Patient Readmission , Adult , Humans , United States/epidemiology , Longitudinal Studies , Retrospective Studies , Hospitalization , Databases, Factual , Lupus Erythematosus, Systemic/epidemiology , Risk Factors
Wound contamination and subsequent colonization by microbes can significantly impair tissue repair and lead to the development of chronic non-healing ulcers. Atypical Burkholderia and Actinomycetes bacterial species are common in cases of soil contamination of open wounds leading to a complex infection that is both difficult to diagnose and treat. Despite much research on the involvement of atypical organisms, including Burkholderia and Actinomycetes, in antibiotic resistance, there is no consensus on the timeline from contamination to infection and on an algorithm for early diagnosis and management. Thus, the ways in which these organisms interact in settings of co-infection and contribute to cross-resistance remains unclear. The generally low index of clinical suspicion for atypical microbial infections and the absence of clear diagnostic protocols have multiple consequences, ranging from excessive reliance on pathology, delayed treatment, expensive and ineffective investigations and treatment, and progressive wound sepsis and morbidity. We are reporting a case of Burkholderia cepacia infection, co-infection with Actinomyces spp., and resistance to ceftazidime/avibactam and co-trimoxazole in a 28-year-old previously healthy farmer following soil contamination of an open wound. This is one of only a few reported cases of Burkholderia resistance to ceftazidime/avibactam and the first reported case ofB. cepacia bacteremia due to peripheral contamination.
BACKGROUND: There is a scarcity of literature on co-existing psoriasis (Ps) and systemic lupus erythematosus (SLE). We used a large national population database to determine if there is any association between Ps and SLE. The primary objective was to compare the odds of being admitted for SLE in patients with Ps compared to those without Ps. The secondary objective was to compare hospital outcomes of patients admitted for SLE with co-existing Ps to those without Ps. METHODS: Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 Databases. We search for hospitalizations using ICD-10 codes. Multivariate logistic and linear regression analysis was used accordingly to adjust for confounders. RESULTS: There were over 71 million discharges included in the database. A total of 20,630 hospitalizations had SLE as the principal diagnosis. One hundred fifty (0.7%) of these SLE hospitalizations have co-existing Ps. Hospitalizations for SLE with co-existing Ps had similar length of stay (LOS), total hospital charges, need for blood transfusion, odds of having a secondary discharge diagnosis of venous thrombosis or embolism/pulmonary embolus, and acute kidney injury compared to those without Ps. Hospitalizations with a secondary diagnosis of Ps have an adjusted odds ratio (AOR)=2.73 (95% CI 1.86-4.02, P<0.0001) of SLE being the principal reason for hospitalization compared to hospitalizations without Ps. CONCLUSION: In our study, patients with Ps had almost three times the odds of being admitted for SLE compared to non-Ps patients. However, Ps patients admitted for SLE had similar hospital outcomes compared to non-Ps patients admitted for SLE.
