Gender Differences in Hospital Outcomes among COVID-19 Hospitalizations.

OBJECTIVES: Many epidemiological studies have shown that coronavirus disease 2019 (COVID-19) disproportionately affects males, compared with females, although other studies show that there were no such differences. The aim of the present study was to assess differences in the prevalence of hospitalizations and in-hospital outcomes between the sexes, using a larger administrative database. METHODS: We used the 2020 California State Inpatient Database for this retrospective analysis. International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code U07.1 was used to identify COVID-19 hospitalizations. These hospitalizations were subsequently stratified by male and female sex. Diagnosis and procedures were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes. The primary outcome of the study was hospitalization rate, and secondary outcomes were in-hospital mortality, prolonged length of stay, vasopressor use, mechanical ventilation, and intensive care unit (ICU) admission. RESULTS: There were 95,180 COVID-19 hospitalizations among patients 18 years and older, 52,465 (55.1%) of which were among men and 42,715 (44.9%) were among women. In-hospital mortality (12.4% vs 10.1%), prolonged length of hospital stays (30.6% vs 25.8%), vasopressor use (2.6% vs 1.6%), mechanical ventilation (11.8% vs 8.0%), and ICU admission rates (11.4% versus 7.8%) were significantly higher among male compared with female hospitalizations. Conditional logistic regression analysis showed that the odds of mortality (odds ratio [OR] 1.38, 95% confidence interval [CI] 1.38-1.44), hospital lengths of stay (OR 1.35, 95% CI 1.31-1.39), vasopressor use (OR 1.59, 95% CI 1.51-1.66), mechanical ventilation (OR 1.62, 95% CI 1.47-1.78), and ICU admission rates (OR 1.58, 95% CI 1.51-1.66) were significantly higher among male hospitalizations. CONCLUSION: Our findings show that male sex is an independent and strong risk factor associated with COVID-19 severity.

Healthcare expenditure trends among adult stroke patients in the United States, 2011-2020.

BACKGROUND: In the US, between 2018 and 2019, approximately $57 billion were expended on stroke and related conditions. The aim of this study was to understand trends in direct healthcare expenditures among stroke patients using novel cost estimation methods and a nationally representative database. METHODS: This study was a retrospective analysis of 193,003 adults, ≥18 years of age, using the Medical Expenditure Panel Survey during 2009-2016. Manning and Mullahy's two-part model were used to calculate adjusted mean and incremental medical expenditures after adjusting for covariates. RESULTS: The mean (Standard Deviation) direct annual healthcare expenditure among stroke patients was $16,979.0 ($16,222.0- $17,736.0) and was nearly 3 times greater than non-stroke participants which were $5,039.7 ($4,951.0-$5,128.5) and were mainly spent on inpatient services, prescription medications, and office-based visits. Stroke patients had an additional healthcare expenditure of $4096.0 (3543.9, 4648.1) per person per year, compared to participants without stroke after adjusting for covariates (P<0.001). The total mean annual direct healthcare expenditure for stroke survivors increased from $16,142.0 (15,017.0-17,267.0) in 2007-2008 to $16,979.0 (16,222.0-17,736.0) in 2015-2016. CONCLUSION: Our study showed that stroke survivors had significantly greater healthcare expenses, compared to non-stroke individuals, mainly due to higher expenditures on inpatient services, prescription drugs, and office visits. These findings are concerning because the prevalence of stroke is projected to increase due to aging population and increased survival rates.

Comparative evaluation of the diagnostic and prognostic performance of CNSide™ versus standard cytology for leptomeningeal disease.

Background: This retrospective study compares the real-world performance of cerebrospinal fluid (CSF) CNSide™ versus cytology in leptomeningeal disease (LMD). Methods: Consecutive patients with suspected LMD who underwent lumbar punctures for CSF cytology and CNSide™ from January 2020 to December 2022 were reviewed. LMD was classified by EANO criteria. Descriptive statistics, confusion matrix, Kaplan-Meier curves, and Cox proportional regression were used. Results: Median age for 87 evaluable patients was 63 years (range: 23-93); 82 (94%) met EANO criteria for possible/probable/confirmed LMD (EANO/LMD). The commonest primary cancers were breast (36,44.0%) and lung (34,41.5%). Primary lung harbored actionable mutations in 18 (53.0%); primary breast expressed hormone receptors in 27 (75%), and HER2 amplification in 8 (22%). Uncontrolled systemic disease was detected in 35 (40%), while 25 (46%) received systemic therapy with medium/high CNS penetrance at LMD diagnosis. The median time from initial cancer to LMD diagnosis was 31 months (range: 13-73). LMD was confirmed by CSF cytology in 23/82 (28%), all identified by CNSide™. CNSide™ identified 13 additional cases (36/82, 43.9%), increasing diagnostic yield by 56.5%. Median overall survival (mOS) was 31 weeks (95%CI: 21-43), significantly worse for CNSide™ positive versus negative: 4.0 versus 16.0 weeks, respectively (HR = 0.50, P = .010). While survival since LMD diagnosis did not differ by histology, time to LMD diagnosis from initial cancer diagnosis was longer for breast (48.5 months, IQR: 30.0-87.5) versus lung (8 months, IQR:0.5-16.0) cohorts. mOS was longer for patients eligible for intrathecal chemotherapy (HR: 0.189, 95%CI: 0.053-0.672, P = .010). Conclusions: This retrospective, real-world analysis of CNSide™ showed increased sensitivity versus cytology and provided clinically relevant molecular CSF analyses.

Burden of cardiovascular disease on coronavirus disease 2019 hospitalizations in the USA.

BACKGROUND: Patients with cardiovascular disease (CVD) and risk factors have increased rates of adverse events and mortality after hospitalization for coronavirus disease 2019 (COVID-19). In this study, we attempted to identify and assess the effects of CVD on COVID-19 hospitalizations in the USA using a large national database. METHODS: The current study was a retrospective analysis of data from the US National (Nationwide) Inpatient Sample from 2020. All adult patients 18 years of age and older who were admitted with the primary diagnosis of COVID-19 were included. The primary outcome was in-hospital mortality, while secondary outcomes included prolonged hospital length of stay, mechanical ventilation, and disposition other than home. Prolonged hospital length of stay was defined as a length of stay greater than the 75th percentile for the full sample. The diagnoses were identified using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes. RESULTS: A total of 1 050 040 patients were included in the study, of which 454 650 (43.3%) had prior CVD. Patients with CVD had higher mortality during COVID-19 hospitalization (19.3 vs. 5.0%, P < 0.001). Similarly, these patients had a higher rate of prolonged hospital length of stay (34.5 vs. 21.0%, P < 0.001), required mechanical ventilation (15.4 vs. 5.6%, P < 0.001), and were more likely to be discharged to a disposition other than home (62.5 vs. 32.3%, P < 0.001). Mean hospitalization cost was also higher in patients with CVD during hospitalization ($24 023 vs. $15 320, P < 0.001). Conditional logistic regression analysis showed that the odds of in-hospital mortality [odds ratio (OR), 3.23; 95% confidence interval (CI), 2.91-3.45] were significantly higher for COVID-19 hospitalizations with CVD, compared with those without CVD. Similarly, prolonged hospital length (OR, 1.82; 95% CI, 1.43-2.23), mechanical ventilation (OR, 3.31; 95% CI, 3.06-3.67), and disposition other than home (OR, 2.01; 95% CI, 1.87-2.21) were also significantly higher for COVID-19 hospitalizations with coronary artery disease. CONCLUSION: Our study showed that the presence of CVD has a significant negative impact on the prognosis of patients hospitalized for COVID-19. There was an associated increase in mortality, length of stay, ventilator use, and adverse discharge dispositions among COVID-19 patients with CVD. Adjustment in treatment for CVD should be considered when providing care to patients hospitalized for COVID-19 to mitigate some of the adverse hospital outcomes.

Prevalence and effects of acute myocardial infarction on hospital outcomes among COVID-19 patients.

BACKGROUND: Acute myocardial infarction (AMI) is one of the most lethal complications of COVID-19 hospitalization. In this study, we looked for the occurrence of AMI and its effects on hospital outcomes among COVID-19 patients. METHODS: Data from the 2020 California State Inpatient Database was used retrospectively. All COVID-19 hospitalizations with age ≥ 18 years were included in the analyses. Adverse hospital outcomes included in-hospital mortality, prolonged length of stay (LOS), vasopressor use, mechanical ventilation, and ICU admission. Prolonged LOS was defined as any hospital LOS ≥ 75th percentile. Multivariate logistic regression analyses were used to understand the strength of associations after adjusting for cofactors. RESULTS: Our analysis had 94 114 COVID-19 hospitalizations, and 1548 (1.6%) had AMI. Mortality (43.2% vs. 10.8%, P  < 0.001), prolonged LOS (39.9% vs. 28.2%, P  < 0.001), vasopressor use (7.8% vs. 2.1%, P  < 0.001), mechanical ventilation (35.0% vs. 9.7%, P  < 0.001), and ICU admission (33.0% vs. 9.4%, P  < 0.001) were significantly higher among COVID-19 hospitalizations with AMI. The odds of adverse outcomes such as mortality (aOR 3.90, 95% CI: 3.48-4.36), prolonged LOS (aOR 1.23, 95% CI: 1.10-1.37), vasopressor use (aOR 3.71, 95% CI: 3.30-4.17), mechanical ventilation (aOR 2.71, 95% CI: 2.21-3.32), and ICU admission (aOR 3.51, 95% CI: 3.12-3.96) were significantly more among COVID-19 hospitalizations with AMI. CONCLUSION: Despite the very low prevalence of AMI among COVID-19 hospitalizations, the study showed a substantially greater risk of adverse hospital outcomes and mortality. COVID-19 patients with AMI should be aggressively treated to improve hospital outcomes.

Adverse Outcomes in Hospitalizations for Amyloid-Related Heart Failure.

Transthyretin amyloid cardiomyopathy is being increasingly recognized as an important cause of heart failure (HF). In this study, we looked at adverse outcomes in hospitalizations with amyloid-related HF. This study was a retrospective analysis of the National Inpatient Sample data, collected from 2016 to 2019. Patients ≥41 years of age and admitted for HF were included in the study. In these hospitalizations, amyloid-related HF was identified through the International Classification of Diseases, Tenth Revision, Clinical Modification codes for amyloidosis. The primary outcome of the study was in-hospital mortality, whereas secondary outcomes were prolonged length of stay, mechanical ventilation, mechanical circulatory support, vasopressors use, and dispositions other than home. From 2016 to 2019, there were 4,705,274 HF hospitalizations, of which 16,955 (0.4%) had amyloid cardiomyopathy. In all HF hospitalizations, amyloid-related increased from 0.26% in 2016 to 0.46% in 2019 (relative increase, 76.9%, P for trend <0.001). Amyloid-related HF hospitalizations were more common in older, male, and Black patients. The odds of in-hospital mortality (odds ratio [OR], 1.29; 95% confidence interval [CI]: 1.11 to 1.38), prolonged hospital length (OR, 1.61; 95% CI: 1.49 to 1.73) and vasopressors use (OR, 1.59; 95% CI: 1.23 to 2.05) were significantly higher for amyloid-related hospitalizations. Amyloid-related HF hospitalizations are increasing substantially and are associated with adverse hospital outcomes. These hospitalizations were disproportionately higher for older, male, and Black patients. Amyloid-related HF is rare and underdiagnosed yet has several adverse outcomes. Hence, healthcare providers should be watchful of this condition for early identification and prompt management.

Effect of Frailty on Hospital Outcomes Among Pediatric Cancer Patients in the United States: Results From the National Inpatient Sample.

BACKGROUND: Studies on frailty among pediatric patients with cancer are scarce. In this study, we sought to understand the effects of frailty on hospital outcomes in pediatric patients with cancer. METHODS: This retrospective study used data collected and stored in the Nationwide Inpatient Sample (NIS) between 2005 and 2014. These were hospitalized patients and hence represented the sickest group of patients. Frailty was measured using the frailty definition diagnostic indicator by Johns Hopkins Adjusted Clinical Groups. RESULTS: Of 187,835 pediatric cancer hospitalizations included in this analysis, 11,497 (6.1%) were frail. The average hospitalization costs were $86,910 among frail and $40,358 for nonfrail patients. In propensity score matching analysis, the odds of in-hospital mortality (odds ratio, 2.08; 95% CI, 1.71-2.52) and length of stay (odds ratio, 3.76; 95% CI, 3.46-4.09) were significantly greater for frail patients. The findings of our study suggest that frailty is a crucial clinical factor to be considered when treating pediatric cancer patients in a hospital setting. CONCLUSIONS: These findings highlight the need for further research on frailty-based risk stratification and individualized interventions that could improve outcomes in frail pediatric cancer patients. The adaptation and validation of a frailty-defining diagnostic tool in the pediatric population is a high priority in the field.

Automatic disease screening method using image processing for dried blood microfluidic drop stain pattern recognition.

This paper examines programmed automatic recognition of infection from samples of dried stains of micro-scale drops of patient blood. This technique has the upside of being low-cost and less-intrusive and not requiring puncturing the patient with a needle for drawing blood, which is especially critical for infants and the matured. It also does not require expensive pathological blood test laboratory equipment. The method is shown in this work to be successful for ailment identification in patients suffering from tuberculosis and anaemia. Illness affects the physical properties of blood, which thus influence the samples of dried micro-scale blood drop stains. For instance, if a patient has a severe drop in platelet count, which is often the case of dengue or malaria patients, the blood's physical property of viscosity drops substantially, i.e. the blood is thinner. Thus, the blood micro-scale drop stain samples can be utilised for diagnosing maladies. This paper presents programmed automatic examination of the dried micro-scale drop blood stain designs utilising an algorithm based on pattern recognition. The samples of micro-scale blood drop stains of ordinary non-infected people are clearly recognisable as well as the samples of micro-scale blood drop stains of sick people, due to key distinguishing features. As a contextual analysis, the micro-scale blood drop stains of patients infected with tuberculosis have been contrasted with the micro-scale blood drop stains of typical normal healthy people. The paper dives into the fundamental flow mechanics behind how the samples of the dried micro-scale blood drop stain is shaped. What has been found is a thick ring like feature in the dried micro-scale blood drop stains of non-ailing people and thin shape like lines in the dried micro-scale blood drop stains of patients with anaemia or tuberculosis disease. The ring like feature at the periphery is caused by an outward stream conveying suspended particles to the edge. Concentric rings (brought on by internal Marangoni flow) and deposition in the centre of the stain are patterns that were found in the dried micro-scale drop blood stain samples of ordinary healthy people.

Role of cone beam computed tomography and white mineral trioxide aggregate in the successful management of a permanent anterior tooth with open apex.

Cone beam computed tomography (CBCT) is a recent three-dimensional (3D) radiographic imaging modality used for the accurate diagnosis, management and follow-up of endodontic problems. In tooth with open apex and periapical lesion, the use of new obturation material such as white mineral trioxide aggregate (wMTA) facilitates faster and more predictable closure of root apex and periapical healing. The objective of this case report was to evaluate the role of CBCT and wMTA obturation in management of a permanent anterior tooth with open apex and periapical lesion. After CBCT evaluation of maxillary left central incisor with open apex and periapical lesion, it was endodontically treated with wMTA obturation. The patient was recalled regularly for 6 months. CBCT was found to be a useful tool for the diagnosis and post-operative evaluation of this case. The wMTA used for obturation in two visit endodontic treatment resulted in successful outcome, both clinically and radiographically.