BACKGROUND: The COVID-19 pandemic led to several surges in the mass hospitalization rate. Extreme increases in hospital admissions without adequate medical resources may increase mortality. No study has addressed the impact of daily census of ventilated patients on mortality in the context of the pandemic in a nationwide setting.
OBJECTIVE: This study aimed to determine whether daily census of ventilated patients affected COVID-19 mortality rates nationwide in Israel.
METHODS: We conducted a cohort study using nationwide, public-domain, population-based COVID-19 data of hospitalized patients from an Israeli database from March 11, 2020, until February 11, 2021. We included all COVID-19 hospital admissions, classified as mild to severe per the Centers for Diseases Control and Prevention classification irrespective of whether they were mechanically ventilated. Outcome measures were daily death rates and death rates expressed as a percentage of ventilated patients.
RESULTS: During the study period (338 days from March 11, 2020, to February 11, 2021), 715,743 patients contracted and were clinically confirmed as having COVID-19. Among them, 5577 (0.78%) patients died. In total, 3398 patients were ventilated because of severe COVID-19. Daily mortality correlated with daily census of ventilated patients (R2=0.828, P<.001). The daily percent mortality of ventilated patients also correlated with the daily census of ventilated patients (R2=0.365, P<.001)-backward multiple regression analysis demonstrated that this positive correlation was still highly significant even when correcting for the average age or gender of ventilated patients (R2=0.4328, P<.001) or for the surge in their number. Overall, 40% of the variation in mortality was explained by variations in the daily census of ventilated patients. ANOVA revealed that at less than 50 ventilated patients per day, the daily mortality of ventilated patients was slightly above 5%, and it nearly doubled (10%) with 50-149 patients; moreover, in all categories of ≥200 patients ventilated per day, it more than tripled at ≥15% (P<.001).
CONCLUSIONS: Daily mortality rates per ventilated patient increased with an increase in the number of ventilated patients, suggesting the saturation of medical resources. Policy makers should be aware that expanding medical services without adequate resources may increase mortality. Governments should perform similar analyses to provide indicators of system saturation, although further validation of these results might be needed to use this indicator to drive public policy.

OBJECTIVE: To investigate the extent of extra-skeletal manifestations along with inpatient outcomes and complications associated with osteogenesis imperfecta (OI).
METHODS: This cross-sectional study utilized the Kids\' Inpatient Database (KID) as part of the Healthcare Cost and Utilization Project (HCUP) to investigate inpatient hospital outcomes and management in patients with OI from 1997 through 2016. Data regarding hospital characteristics, cost of treatment, inpatient outcomes, and procedures were collected and analyzed.
RESULTS: There were 7,291 admissions that listed OI as a diagnosis in the KID database from 1997 through 2016. Unexpectedly, over one third of all admissions in these children with OI presented with an extra-skeletal manifestation. The rate of major complications was 3.85%. The rate of minor complications was 19.4%, most commonly respiratory problems. Mortality rate was 18.2 % in the neonatal period and 1.0% in all other admissions. Total charges of hospital stay increased over the years.
CONCLUSIONS: We identified a striking prevalence of extra-skeletal manifestations in OI along with inpatient outcomes and complications associated with OI, of which respiratory complications were predominant. We observed a significant financial burden for patients with OI and identified additional risks for financial crisis, in addition to disparities in care identified among socioeconomic groups. These data contribute to a more holistic understanding of OI from diagnosis to management.

BACKGROUND: Some previous observational studies have linked deep venous thrombosis (DVT) to thyroid diseases; however, the findings were contradictory. This study aimed to investigate whether some common thyroid diseases can cause DVT using a two-sample Mendelian randomization (MR) approach.
METHODS: This two-sample MR study used single nucleotide polymorphisms (SNPs) identified by the FinnGen genome-wide association studies (GWAS) to be highly associated with some common thyroid diseases, including autoimmune hyperthyroidism (962 cases and 172,976 controls), subacute thyroiditis (418 cases and 187,684 controls), hypothyroidism (26,342 cases and 59,827 controls), and malignant neoplasm of the thyroid gland (989 cases and 217,803 controls. These SNPs were used as instruments. Outcome datasets for the GWAS on DVT (6,767 cases and 330,392 controls) were selected from the UK Biobank data, which was obtained from the Integrative Epidemiology Unit (IEU) open GWAS project. The inverse variance weighted (IVW), MR-Egger and weighted median methods were used to estimate the causal association between DVT and thyroid diseases. The Cochran\'s Q test was used to quantify the heterogeneity of the instrumental variables (IVs). MR Pleiotropy RESidual Sum and Outlier test (MR-PRESSO) was used to detect horizontal pleiotropy. When the causal relationship was significant, bidirectional MR analysis was performed to determine any reverse causal relationships between exposures and outcomes.
RESULTS: This MR study illustrated that autoimmune hyperthyroidism slightly increased the risk of DVT according to the IVW [odds ratio (OR) = 1.0009; p = 0.024] and weighted median methods [OR = 1.001; p = 0.028]. According to Cochran\'s Q test, there was no evidence of heterogeneity in IVs. Additionally, MR-PRESSO did not detect horizontal pleiotropy (p = 0.972). However, no association was observed between other thyroid diseases and DVT using the IVW, weighted median, and MR-Egger regression methods.
CONCLUSIONS: This study revealed that autoimmune hyperthyroidism may cause DVT; however, more evidence and larger sample sizes are required to draw more precise conclusions.

Objectives To assess the association between concomitant use of central nervous system drugs and femoral fracture risk in individuals ≥80 years old in Japan. Methods A case-crossover design was used, defining the case period as 3 days before the fracture diagnosis and the control period as 31-33, 34-36, and 37-39 days prior. The association between the daily intake of central nervous system drugs (Anatomical Therapeutic Chemical codes) and fracture risk was analyzed using conditional logistic regression. Patients Using the Japanese administrative claims database, we examined elderly patients diagnosed with femoral neck fractures between January 1, 2009, and December 31, 2020. Results In 255,875 patients, the concomitant use of central nervous system drugs increased the odds ratios of femoral fracture (3.41[95% confidence interval: 3.27-3.55], 3.69 [3.46-3.91], 3.76 [3.42-4.13], and 4.34 [3.86-4.86] for an intake of >0-1, >1-2, >2-3, and >3 central nervous system drugs, respectively). Conclusions The concomitant use of central nervous system drugs is associated with an increased risk of femoral fractures in individuals ≥80 years old in Japan.

UNASSIGNED: This study constructed a comprehensive database of dietary antioxidants and total antioxidant capacity (TAC) to facilitate the estimation of daily antioxidant intake using a food frequency questionnaire (FFQ). This database was applied to 3 general population-based cohorts (n=195,961) within the Korean Genome and Epidemiology Study (KoGES).
UNASSIGNED: To establish a database of 412 foods derived from recipes of a 106-item FFQ, we followed a pre-established standardized protocol. This included the selection of source databases, matching of foods, substitution of unmatched items with identical foods and input of values, and assessment of coverage. For each food, the TAC was estimated by summing the individual antioxidant capacities, calculated by multiplying the amount of each antioxidant by its vitamin C equivalent antioxidant capacity.
UNASSIGNED: We identified 48 antioxidants across 5 classes: retinol, carotenoids, vitamins C and E, and flavonoids, with flavonoids divided into 7 subclasses. TAC values were then established. Coverage exceeded 90.0% for retinol, carotenoids, vitamin C, and vitamin E, while coverage for flavonoids was 60.9%. The daily intakes of 4 antioxidant classes-all but vitamin E-were higher in women than in men. The Ansan-Ansung cohort exhibited the highest levels of dietary TAC, vitamin E, and flavonoids, while the Health Examinees Study cohort displayed the highest values for retinol, carotenoids, and vitamin C.
UNASSIGNED: We customized a comprehensive antioxidant database for the KoGES FFQ, achieving relatively high coverage. This expansion could support research investigating the impact of dietary antioxidants on the development of chronic diseases targeted by the KoGES.

UNASSIGNED: Many studies on multiple sclerosis (MS) reveal different prevalence and epidemiologic results.
UNASSIGNED: In this study, we aimed to determine the epidemiologic profile of MS using official health records in Turkey.
UNASSIGNED: Patients diagnosed with MS from the official health data of the Ministry of Health, representing the entire population of Turkey, were included in the study. Prevalence and incidence calculations were performed using the data on gender, age, year of birth, city of residence, and year of diagnosis.
UNASSIGNED: As a result of the study, the number of patients with the ICD code G35 was determined as 201,061 and the number of patients with this code entered at least three times was determined as 82,225. The prevalence of MS in Turkey was calculated as 96.4 per 100,000 and the female/male ratio as 2.1/1. The incidence of MS in 2022 was 6.2 per 100,000 and the mean patient age was 43.1 ± 13.3 years (female: 43.0 ± 13.1 vs male: 43.2 ± 13.7) while the mean age at first diagnosis was 34.0 ± 13.0 (female: 33.6 ± 12.6 vs male: 34.9 ± 13.7).
UNASSIGNED: The research was conducted via Official Database of Turkey, which includes population of 85 million and provides valuable insights into the prevalence and incidence rates of this chronic disease.

Introduction Naldemedine and magnesium oxide are common first-line early laxative medications used in the real-world scenario in Japan, for patients with cancer pain who receive opioid prescriptions, as per a nationwide hospital claims database study. However, the real-world prescription patterns and associated outcomes are unknown. Methods In this retrospective, cohort study using the Medical Data Vision (MDV) database (January 2018 to December 2020), data were collected from eligible patients (who had a long-term prescription of strong opioids, for >30 days) in Japan with naldemedine or magnesium oxide as the first-line laxative prescription, for a long-term opioid prescription for cancer pain with ≥6 months post-opioid observation period. A laxative prescription within three days after the opioid prescription date was termed an \"early\" prescription. The composite incidence of dose increase or addition/change of laxatives at three months after the start of the opioid prescription was the primary endpoint after adjusting baseline characteristics between the treatment arms by propensity score matching. Results After propensity score matching, 1717 and 544 patients who were prescribed naldemedine and magnesium oxide each were included in the early prescription and non-early prescription groups, respectively. Even after matching, the incidence of death was not adjusted enough and was significantly higher in the naldemedine arm than in the magnesium oxide arm in the non-early group but comparable in the early group. The incidence of addition, change, or dose increase was significantly higher in the naldemedine arm than in the magnesium oxide arm of the early prescription group (hazard ratio (95% confidence interval), 1.08 (1.00, 1.17); p=0.0402); the incidence was comparable between the arms of the non-early group. Conclusion These findings may provide valuable insights into real-world clinical treatment patterns and preliminary evidence for the selection of first-line medications to mitigate opioid-induced constipation in Japanese patients with cancer pain.

This study presents the nutrition survey methods and the updated food composition database for the Korean Genome and Epidemiology Study (KoGES). The KoGES, which is the largest and longest cohort study in Korea, aims to identify genetic and environmental factors associated with chronic diseases. This study has collected dietary data using a validated semi-quantitative food frequency questionnaire and/or the 24-hour recall method. However, these dietary survey methods use different food composition databases, and their nutritional values are out of date. Therefore, it became necessary to update the food composition database by revising nutrient analysis values to reflect improvements in the performance of food ingredient analysis equipment, revising international values to analysis values of Korean agricultural products, adjusting nutrient units, and adding newly reported nutrients related to chronic diseases. For this purpose, we integrated the different food composition databases used in each nutrition survey, updated 23 nutrients, and expanded 48 new nutrients for 3,648 food items using the latest reliable food composition databases published by national and international institutions. This revised food composition database may help to clarify the relationship between various nutrients and chronic diseases. It could serve as a valuable resource for nutritional, epidemiological, and genomic research and provide a basis for determining public health policies.

BACKGROUND: The COVID-19 pandemic added to the decades of evidence that public health institutions are routinely stretched beyond their capacity. Community health workers (CHWs) can be a crucial extension of public health resources to address health inequities, but systems to document CHW efforts are often fragmented and prone to unneeded redundancy, errors, and inefficiency.
OBJECTIVE: We sought to develop a more efficient data collection system for recording the wide range of community-based efforts performed by CHWs.
METHODS: The Communities Organizing to Promote Equity (COPE) project is an initiative to address health disparities across Kansas, in part, through the deployment of CHWs. Our team iteratively designed and refined the features of a novel data collection system for CHWs. Pilot tests with CHWs occurred over several months to ensure that the functionality supported their daily use. Following implementation of the database, procedures were set to sustain the collection of feedback from CHWs, community partners, and organizations with similar systems to continually modify the database to meet the needs of users. A continuous quality improvement process was conducted monthly to evaluate CHW performance; feedback was exchanged at team and individual levels regarding the continuous quality improvement results and opportunities for improvement. Further, a 15-item feedback survey was distributed to all 33 COPE CHWs and supervisors for assessing the feasibility of database features, accessibility, and overall satisfaction.
RESULTS: At launch, the database had 60 active users in 20 counties. Documented client interactions begin with needs assessments (modified versions of the Arizona Self-sufficiency Matrix and PRAPARE [Protocol for Responding to and Assessing Patient Assets, Risks, and Experiences]) and continue with the longitudinal tracking of progress toward goals. A user-specific automated alerts-based dashboard displays clients needing follow-up and upcoming events. The database contains over 55,000 documented encounters across more than 5079 clients. Available resources from over 2500 community organizations have been documented. Survey data indicated that 84% (27/32) of the respondents considered the overall navigation of the database as very easy. The majority of the respondents indicated they were overall very satisfied (14/32, 44%) or satisfied (15/32, 48%) with the database. Open-ended responses indicated the database features, documentation of community organizations and visual confirmation of consent form and data storage on a Health Insurance Portability and Accountability Act-compliant record system, improved client engagement, enrollment processes, and identification of resources.
CONCLUSIONS: Our database extends beyond conventional electronic medical records and provides flexibility for ever-changing needs. The COPE database provides real-world data on CHW accomplishments, thereby improving the uniformity of data collection to enhance monitoring and evaluation. This database can serve as a model for community-based documentation systems and be adapted for use in other community settings.

Objective As population-based studies describing the characteristics of patients with refractory chronic cough (RCC) are sparse, the objective of this descriptive study was to identify and describe such patients using an algorithm developed for administrative claims databases and requiring validation in future. Methods We identified adults with chronic cough (N = 782,121) from Optum Clinformatics™ Data Mart as individuals with a \'cough event\' (primary cough event; based on ICD codes/relevant prescriptions) and ≥2 cough events in the 56-180 preceding days. We applied several exclusion criteria to identify potential RCC cases and stratified them into probable, possible, and unlikely RCC cohorts by the number of cough events during 1-year follow up (≥3, 1-2 or 0 events, respectively). Patient characteristics were described during the year before the primary cough event and follow up. Results 16.8% (n = 131,772) of patients with chronic cough were potential RCC cases: 25.8% probable, 35.9% possible and 38.3% unlikely. The majority were female (66.4-70.5%); median age was 53-60 years. The most common comorbidities and cough-associated complications at baseline were: allergic rhinitis (30.7-39.1%), hypertension (37.3-47.7%), gastro-oesophageal reflux disease (23.7-34.3%), asthma (18.1-27.3%), insomnia (6.3-8.3%) and stress incontinence (2.5-3.9%). Among probable RCC cases, use of several medications was higher during follow up versus baseline: 52.7% versus 49.0% (cough treatments), 73.3% versus 69.0% (respiratory drugs), 40.5% versus 34.2% (gastrointestinal drugs) and 58.8% versus 56.1% (psychotherapeutics). Conclusion Our algorithm requires validation but provides a starting point to identify patients with RCC in claims databases in future studies.