Dementia incidence is lower among Asian Americans than Whites, despite higher prevalence of type 2 diabetes, a well-known dementia risk factor. Determinants of dementia, including type 2 diabetes, have rarely been studied in Asian Americans. We followed 4,846 Chinese, 4,129 Filipino, 2,784 Japanese, 820 South Asian, and 123,360 non-Latino White members of a California-based integrated healthcare delivery system from 2002-2020. We estimated dementia incidence rates by race/ethnicity and type 2 diabetes status, and fit Cox proportional hazards and Aalen additive hazards models for the effect of type 2 diabetes (assessed 5 years before baseline) on age of dementia diagnosis controlling for sex/gender, educational attainment, nativity, height, race/ethnicity, and a race/ethnicity*diabetes interaction. Type 2 diabetes was associated with higher dementia incidence in Whites (hazard ratio [HR] 1.46, 95% confidence interval [CI] 1.40-1.52). Compared with Whites, the estimated effect of diabetes was larger in South Asians (2.26 [1.48-3.44]), slightly smaller in Chinese (1.32 [1.08-1.62]) and Filipino (1.31 [1.08-1.60]), and similar in Japanese (1.44 [1.15-1.81]) individuals. Heterogeneity in this association across Asian subgroups may be related to type 2 diabetes severity. Understanding this heterogeneity may inform prevention strategies to prevent dementia for all racial and ethnic groups.

UNASSIGNED: Little is known about stage 1 and 2 pressure injuries that are health care-acquired. We report incidence rates of health care-acquired stage 1 and stage 2 pressure injuries, and, estimate the excess length of stay using four competing analytic methods. We discuss the merits of the different approaches.
UNASSIGNED: We calculated monthly incidence rates for stage 1 and 2 health care-acquired pressure injuries occurring in a large Singapore acute care hospital. To estimate excess stay, we conducted unadjusted comparisons with a control cohort, performed linear regression and then generalized linear regression with a gamma distribution. Finally, we fitted a simple state-based model. The design for the cost attribution work was a retrospective matched cohort study.
UNASSIGNED: Incidence rates in 2016 were 0.553% (95% confidence interval [CI] 0.55, 0.557) and 0.469% (95% CI 0.466, 0.472) in 2017. For data censored at 60 days\' maximum stay, the unadjusted comparisons showed the highest excess stay at 17.68 (16.43-18.93) days and multi-state models showed the lowest at 1.22 (0.19, 2.23) days.
UNASSIGNED: Poor-quality methods for attribution of excess length of stay to pressure injury generate inflated estimates that could mislead decision makers. The findings from the multi-state model, which is an appropriate method, are plausible and illustrate the likely bed-days saved from lowering the risk of these events. Stage 1 and 2 pressure injuries are common and increase costs by prolonging the length of stay. There will be economic value investing in prevention. Using biased estimates of excess length of stay will overstate the potential value of prevention.

BACKGROUND: The COVID-19 pandemic has sharpened the focus on health care safety and quality, underscoring the importance of using standardized metrics such as the International Classification of Diseases, Tenth Revision (ICD-10). In this regard, the ICD-10 cluster Y62-Y69 serves as a proxy assessment of safety and quality in health care systems, allowing researchers to evaluate medical misadventures. Thus far, extensive research and reports support the need for more attention to safety and quality in health care. The study aims to leverage the pandemic\'s unique challenges to explore health care safety and quality trends during prepandemic, intrapandemic, and postpandemic phases, using the ICD-10 cluster Y62-Y69 as a key tool for their evaluation.
OBJECTIVE: This research aims to perform a comprehensive retrospective analysis of incidence rates associated with ICD-10 cluster Y62-Y69, capturing both linear and nonlinear trends across prepandemic, intrapandemic, and postpandemic phases over an 8-year span. Therefore, it seeks to understand how these trends inform health care safety and quality improvements, policy, and future research.
METHODS: This study uses the extensive data available through the TriNetX platform, using an observational, retrospective design and applying curve-fitting analyses and quadratic models to comprehend the relationships between incidence rates over an 8-year span (from 2015 to 2023). These techniques will enable the identification of nuanced trends in the data, facilitating a deeper understanding of the impacts of the COVID-19 pandemic on medical misadventures. The anticipated results aim to outline complex patterns in health care safety and quality during the COVID-19 pandemic, using global real-world data for robust and generalizable conclusions. This study will explore significant shifts in health care practices and outcomes, with a special focus on geographical variations and key clinical conditions in cardiovascular and oncological care, ensuring a comprehensive analysis of the pandemic\'s impact across different regions and medical fields.
RESULTS: This study is currently in the data collection phase, with funding secured in November 2023 through the Ricerca Corrente scheme of the Italian Ministry of Health. Data collection via the TriNetX platform is anticipated to be completed in May 2024, covering an 8-year period from January 2015 to December 2023. This dataset spans pre-pandemic, intra-pandemic, and early post-pandemic phases, enabling a comprehensive analysis of trends in medical misadventures using the ICD-10 cluster Y62-Y69. The final analytics are anticipated to be completed by June 2024. The study\'s findings aim to provide actionable insights for enhancing healthcare safety and quality, reflecting on the pandemic\'s transformative impact on global healthcare systems.
CONCLUSIONS: This study is anticipated to contribute significantly to health care safety and quality literature. It will provide actionable insights for health care professionals, policy makers, and researchers. It will highlight critical areas for intervention and funding to enhance health care safety and quality globally by examining the incidence rates of medical misadventures before, during, and after the pandemic. In addition, the use of global real-world data enhances the study\'s strength by providing a practical view of health care safety and quality, paving the way for initiatives that are informed by data and tailored to specific contexts worldwide. This approach ensures the findings are applicable and actionable across different health care settings, contributing significantly to the global understanding and improvement of health care safety and quality.
UNASSIGNED: PRR1-10.2196/54838.

BACKGROUND: Alopecia areata (AA) is an autoimmune skin disease presenting as nonscarring hair loss. Information on the epidemiology of AA, especially the occurrence of AA and its subtypes within the general population, is scarce. The study aimed to estimate the incidence rates and prevalence of hospital-treated AA and its subtypes in Denmark and to examine the demographic and clinical characteristics of patients with AA, including comorbidities and use of prescription medications.
METHODS: This was a cohort study based on data from administrative and health registers in Denmark in 1995-2016. The study included individuals who were (1) registered with a hospital inpatient or hospital-based outpatient clinic diagnosis of AA between 1995 and 2016 in the Danish National Patient Registry covering encounters at all Danish hospitals, (2) alive and resided in Denmark anytime between 1995 and 2016, (3) aged ≥ 12 years, and (4) resided uninterrupted in Denmark during the 12 months before the first AA diagnosis during the study period.
RESULTS: During the study period, 2778 individuals with an incident hospital-based diagnosis of AA were identified; 63.1% were female and 28.7% of the patients were aged ≥ 50 years. Over the study period, the overall incidence rate for any hospital-treated AA per 100,000 person-years was 2.62 (95% confidence interval [CI], 2.53-2.72), and the overall prevalence in 2016 was 71.7 (95% CI 69.4-74.1) per 100,000 persons. Both incidence rate and prevalence increased over time. Prevalence of most hospital-treated comorbidities or history of medication use was below 10% and was similar in the alopecia totalis (AT)/alopecia universalis (AU) and non-AT/AU subtypes of AA.
CONCLUSIONS: This cohort study reported incidence rates and prevalence over time and characteristics of individuals with hospital-treated AA in Denmark, which are in agreement with those previously reported in this population.

BACKGROUND: the description of the geographical distribution and temporal trends of cancer is relevant for prevention and improving the quality of care. This is primarily achieved through the incidence measures derived from population cancer registries (CRs). In recent years, in Italy there has been a prevalence of \'real-time\' estimates and projections, although based on rather dated data. Given the significant increase in registration activity and still in absence of a national cancer registry network, the recent publication of Volume 12 of Cancer Incidence in Five Continents (CI5) provides a valuable opportunity to update cancer incidence estimates in Italy and to provide national and macroarea reference estimates.
OBJECTIVE: to explore the pattern of cancer in Italy by reviewing and reorganizing the most recent data from cancer registries.
METHODS: data from Italian cancer registries included in CI5 for the years 2013-2017 were obtained. Populations were verified, corrected for errors, and normalized to Italian National census reconstruction. The completeness of CR data was assessed using the mortality/incidence ratio applied to potential outlier data. Age-specific rates, Age standardized rates (ASRs), and truncated rates for adults (35-64 years) were calculated for 79 different neoplasms. Analyses were performed for individual CRs and macroareas. Temporal comparisons were made for 23 CRs with data from 2008-2012.
RESULTS: the observed incidence rates show extreme heterogeneity. Among males, the overall ASR ranges from 584 per 100,000 in the province of Reggio Calabria to 809.9 per 100,000 in the province of Sondrio. Among women, ASR is highest in Emilia-Romagna (540.5) and lowest in the province of Avellino (409.9). The gradient with decreasing rates from North to South is clearly visible only for female breast cancer. Higher rates of lung cancer are observed for the city of Naples in both genders. In adult males (35-64 years), ASRs of lung cancer are maximum in the provinces of Caserta and Naples, where they are more than double the ASRs observed in the Veneto Region. In general, a significant decline in male ASRs is observed in Northern Italy compared to the previous five-year period. A significant part of this trend is influenced by lung cancer that is significantly decreasing throughout the Centre-North among men and substantially increasing among women. The database and tables with details of all calculated indicators are provided as supplementary material.
CONCLUSIONS: the analysis has shown the importance of a review of real CR data and, in general, working with real data to not only develop specific estimates of cancers in Italy, but also to share reference rates and basic data for further analysis. The present review has also revealed critical issues with data submitted to the IARC. The comparison and verification of data quality through control and audit processes must represent a concrete operational perspective of the national cancer registry network. From the perspective of cancer epidemiology, important indications emerge regarding the distribution of cancers that can fuel aetiological research, as well as the planning of prevention and care activities. The data also show that it is advisable to separate the provinces of Caserta and Naples from the South in estimation and projection models. The comparison and verification of data quality through control and audit processes must represent a concrete operational perspective of the national cancer registry network.

BACKGROUND: There is evidence suggesting that COVID-19 vaccination may be associated with small, transitory effects on uterine bleeding, possibly including menstrual timing, flow, and duration, in some individuals. However, changes in health care seeking, diagnosis, and workup for abnormal uterine bleeding in the COVID-19 vaccine era are less clear.
OBJECTIVE: This study aimed to assess the impact of COVID-19 vaccination on incident abnormal uterine bleeding diagnosis and diagnostic evaluation in a large integrated health system.
METHODS: Using segmented regression, we assessed whether the availability of COVID-19 vaccines was associated with changes in monthly, population-based rates of incident abnormal uterine bleeding diagnoses relative to the prepandemic period in health system members aged 16 to 44 years who were not menopausal. We also compared clinical and demographic characteristics of patients diagnosed with incident abnormal uterine bleeding between December 2020 and October 13, 2021 by vaccination status (never vaccinated, vaccinated in the 60 days before diagnosis, vaccinated >60 days before diagnosis). Furthermore, we conducted detailed chart review of patients diagnosed with abnormal uterine bleeding within 1 to 60 days of COVID-19 vaccination in the same time period.
RESULTS: In monthly populations ranging from 79,000 to 85,000 female health system members, incidence of abnormal uterine bleeding diagnosis per 100,000 person-days ranged from 8.97 to 19.19. There was no significant change in the level or trend in the incidence of abnormal uterine bleeding diagnoses between the prepandemic (January 2019-January 2020) and post-COVID-19 vaccine (December 2020-December 2021) periods. A comparison of clinical characteristics of 2717 abnormal uterine bleeding cases by vaccination status suggested that abnormal bleeding among recently vaccinated patients was similar or less severe than abnormal bleeding among patients who had never been vaccinated or those vaccinated >60 days before. There were also significant differences in age and race of patients with incident abnormal uterine bleeding diagnoses by vaccination status (Ps<.02). Never-vaccinated patients were the youngest and those vaccinated >60 days before were the oldest. The proportion of patients who were Black/African American was highest among never-vaccinated patients, and the proportion of Asian patients was higher among vaccinated patients. Chart review of 114 confirmed postvaccination abnormal uterine bleeding cases diagnosed from December 2020 through October 13, 2021 found that the most common symptoms reported were changes in timing, duration, and volume of bleeding. Approximately one-third of cases received no diagnostic workup; 57% had no etiology for the bleeding documented in the electronic health record. In 12% of cases, the patient mentioned or asked about a possible link between their bleeding and their recent COVID-19 vaccine.
CONCLUSIONS: The availability of COVID-19 vaccination was not associated with a change in incidence of medically attended abnormal uterine bleeding in our population of over 79,000 female patients of reproductive age. In addition, among 2717 patients with abnormal uterine bleeding diagnoses in the period following COVID-19 vaccine availability, receipt of the vaccine was not associated with greater bleeding severity.

Data description is the first step for understanding the nature of the problem at hand. Usually, it is a simple task that does not require any particular assumption. However, the interpretation of the used descriptive measures can be a source of confusion and misunderstanding. The incidence rate is the quotient between the number of observed events and the sum of time that the studied population was at risk of having this event (person-time). Despite this apparently simple definition, its interpretation is not free of complexity. In this piece of research, we revisit the incidence rate estimator under right-censorship. We analyze the effect that the censoring time distribution can have on the observed results, and its relevance in the comparison of two or more incidence rates. We propose a solution for limiting the impact that the data collection process can have on the results of the hypothesis testing. We explore the finite-sample behavior of the considered estimators from Monte Carlo simulations. Two examples based on synthetic data illustrate the considered problem. The R code and data used are provided as Supplementary Material.

To estimate the incidence rates (IR) of prespecified outcomes of interest in pediatric patients (1 month to < 1 year) treated with intravenous (IV) pantoprazole using Optum\'s longitudinal electronic health records database (Optum Market Clarity) from the United States (US).
This real-world, non-interventional, retrospective cohort study was conducted from 01 January 2007 to 31 December 2020 in patients who received IV pantoprazole. Premature patients and those weighing < 2.36 kg were excluded. Patients were categorized based on diagnosis of gastroesophageal reflux disease (GERD) and erosive esophagitis (EE) into: Subgroup 1 (GERD and EE), Subgroup 2 (GERD and no EE), and Subgroup 3 (absence of GERD and EE). Overall IRs (per 1000 person-years [PY]) and 95% confidence intervals (CI) of outcomes were estimated (overall and subgroups) and stratified by duration of IV pantoprazole treatment (< 4 days versus ≥ 4 days).
Of 1879 eligible patients, none were identified in Subgroup 1; 851 (45.3%) and 1028 (54.7%) patients were identified in Subgroups 2 and 3, respectively. IRs of outcomes of interest ranged from 0.0 to 742.8 per 1000 PY. IRs were highest for vomiting (742.80), diarrhea (377.77), abdominal distension (214.31), hyponatremia (204.99), and hypokalemia (203.49). IRs were comparable between Subgroups 2 and 3. For most outcomes, IRs were higher among patients treated with IV pantoprazole for ≥ 4 days versus those treated for < 4 days.
These results are consistent with the known safety profile of pantoprazole and emphasize the utility of using real-world data from pediatric populations for assessment of safety outcomes.

UNASSIGNED: Ocular malignancies are uncommon among eye diseases; however, they jeopardize both vision and life. The main objective of this study was to use to describe the epidemiology of eye and ocular adnexa malignancies across different ages and sex.
UNASSIGNED: The King Khaled University institutional review board approved this study. Data on ocular cancer were retrieved from the Saudi Cancer Registry between 1994 and 2018. The registry collected important patient information such as demographic information (age, gender, and nationality), clinical details, and tumor classification.
UNASSIGNED: The total number of cases with ocular cancer diagnosed was 1051 cases. The highest number was recorded in Riyadh (35.39%, n=372), followed by Makkah (16.93%, n=178). The incidence was higher in the 0-4 years\' age group (55.21%), and it got down as people got older. The data also revealed differences in the number of reported cases over time, as well as in the representation of eye cancer cases by gender and nationality. While many ocular cancer pathologies were seen, with \"Retinoblastoma, not otherwise specified\" being the most common (53.32%), the incidence rates for males and females remained largely stable over time.
UNASSIGNED: The study emphasizes the need for continued monitoring, research, and analysis of potential of epidemiology of ocular cancer occurrence in Saudi Arabia. Identifying the geographical distribution and age pattern of Ocular malignancies have the potential to assist healthcare authorities and policymakers in developing precise strategies to reduce, recognize at an early stage, and successfully manage this condition.

BACKGROUND: There is a growing literature base regarding menstrual changes following COVID-19 vaccination among premenopausal people. However, relatively little is known about uterine bleeding in postmenopausal people following COVID-19 vaccination.
OBJECTIVE: This study aimed to examine trends in incident postmenopausal bleeding diagnoses over time before and after COVID-19 vaccine introduction, and to describe cases of new-onset postmenopausal bleeding after COVID-19 vaccination.
METHODS: For postmenopausal bleeding incidence calculations, monthly population-level cohorts consisted of female Kaiser Permanente Northwest members aged ≥45 years. Those diagnosed with incident postmenopausal bleeding in the electronic medical record were included in monthly numerators. Members with preexisting postmenopausal bleeding or abnormal uterine bleeding, or who were at increased risk of bleeding due to other health conditions, were excluded from monthly calculations. We used segmented regression analysis to estimate changes in the incidence of postmenopausal bleeding diagnoses from 2018 through 2021 in Kaiser Permanente Northwest members meeting the inclusion criteria, stratified by COVID-19 vaccination status in 2021. In addition, we identified all members with ≥1 COVID-19 vaccination between December 14, 2020 and August 14, 2021, who had an incident postmenopausal bleeding diagnosis within 60 days of vaccination. COVID-19 vaccination, diagnostic procedures, and presumed bleeding etiology were assessed through chart review and described. A temporal scan statistic was run on all cases without clear bleeding etiology.
RESULTS: In a population of 75,530 to 82,693 individuals per month, there was no statistically significant difference in the rate of incident postmenopausal bleeding diagnoses before and after COVID-19 vaccine introduction (P=.59). A total of 104 individuals had incident postmenopausal bleeding diagnosed within 60 days following COVID-19 vaccination; 76% of cases (79/104) were confirmed as postvaccination postmenopausal bleeding after chart review. Median time from vaccination to bleeding onset was 21 days (range: 2-54 days). Among the 56 postmenopausal bleeding cases with a provider-attributed etiology, the common causes of bleeding were uterine or cervical lesions (50% [28/56]), hormone replacement therapy (13% [7/56]), and proliferative endometrium (13% [7/56]). Among the 23 cases without a clear etiology, there was no statistically significant clustering of postmenopausal bleeding onset following vaccination.
CONCLUSIONS: Within this integrated health system, introduction of COVID-19 vaccines was not associated with an increase in incident postmenopausal bleeding diagnoses. Diagnosis of postmenopausal bleeding in the 60 days following receipt of a COVID-19 vaccination was rare.