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BACKGROUND: Mild cognitive impairment (MCI) is a significant public health concern and a potential precursor to Alzheimer\'s disease (AD). This study leverages electronic health record (EHR) data to explore rural-urban differences in MCI incidence, risk factors, and healthcare navigation in West Michigan.
METHODS: Analysis was conducted on 1,528,464 patients from Corewell Health West, using face-to-face encounters between 1/1/2015 and 7/31/2022. MCI cases were identified using International Classification of Diseases (ICD) codes, focusing on patients aged 45+ without prior MCI, dementia, or AD diagnoses. Incidence rates, cumulative incidences, primary care physicians (PCPs), and neuropsychology referral outcomes were examined across rural and urban areas. Risk factors were evaluated through univariate and multivariate Cox regression analyses. The geographic distribution of patient counts, hospital locations, and neurology department referrals were examined.
RESULTS: Among 423,592 patients, a higher MCI incidence rate was observed in urban settings compared to rural settings (3.83 vs. 3.22 per 1,000 person-years). However, sensitivity analysis revealed higher incidence rates in rural areas when including patients who progressed directly to dementia. Urban patients demonstrated higher rates of referrals to and completion of neurological services. While the risk factors for MCI were largely similar across urban and rural populations, urban-specific factors for incident MCI are hearing loss, inflammatory bowel disease, obstructive sleep apnea, insomnia, being African American, and being underweight. Common risk factors include diabetes, intracranial injury, cerebrovascular disease, coronary artery disease, stroke, Parkinson\'s disease, epilepsy, chronic obstructive pulmonary disease, depression, and increased age. Lower risk was associated with being female, having a higher body mass index, and having a higher diastolic blood pressure.
CONCLUSIONS: This study highlights rural-urban differences in MCI incidence and access to care, suggesting potential underdiagnosis in rural areas likely due to reduced access to specialists. Future research should explore socioeconomic, environmental, and lifestyle determinants of MCI to refine prevention and management strategies across geographic settings.
UNASSIGNED: Leveraged EHRs to explore rural-urban differences in MCI in West Michigan.Revealed a significant underdiagnosis of MCI, especially in rural areas.Observed lower rates of neurological referrals and completions for rural patients.Identified risk factors specific to rural and urban populations.

UNASSIGNED: Cholangiocarcinoma is a relatively rare malignancy with high mortality. In the U.S., incidence rates of cholangiocarcinoma have increased, particularly affecting younger age groups and Hispanic and Asian individuals. We investigated the incidence of cholangiocarcinoma in a largely under-represented, minority population.
UNASSIGNED: We performed a retrospective cohort study from 2005 to 2017 among adults in a county-funded healthcare system in Harris County, Texas. Incidence rate ratios were computed to compare age-standardized rates using U.S. standard population between 2 time periods: 2005-2011 and 2012-2017.
UNASSIGNED: We identified 139 cholangiocarcinoma cases (64% intrahepatic, 36% extrahepatic). The median age at diagnosis was 57 years; 62% were Hispanic, and 56% were born outside the U.S. The incidence rate increased from 1.2 to 2.4 per 100,000 person-years (rate ratio 2.1 [95% confidence interval {CI}: 1.5, 3.0]). Hispanic individuals and those aged 40-69 years had the highest rate of incidence increase (respectively, rate ratio: 2.5 [95% CI: 1.6, 4.0] and rate ratio: 2.0 [95% CI: 1.2, 3.0]) between time periods. In 2012-2017, the risk of cholangiocarcinoma among patients with diabetes was 1.4 times relative to those without (relative risk: 1.4; 95% CI: 1.1, 1.5) and 1.2 times among those who were overweight/obese relative to those who were not (relative risk: 1.2; 95% CI: 1.1, 1.6).
UNASSIGNED: Incidence of cholangiocarcinoma doubled during the 12-year study period, with Hispanic and middle-aged individuals disproportionately affected. Individuals with diabetes mellitus and those who were overweight or obese had a high risk of being diagnosed with cholangiocarcinoma in the later time period. Further studies should focus on preventing and improving earlier diagnosis of cholangiocarcinoma among Hispanics.

UNASSIGNED: Cardiovascular disease (CVD) is the leading cause of death in the United States, and rates of CVD incidence vary widely by race and ethnicity. Cigarette smoking is associated with increased risk of CVD. The purpose of the study was: 1) to examine smoking prevalence over time across Asian and Pacific Islander (API) and multi-race API subgroups; 2) to determine whether the CVD risk associated with smoking differed among these subgroups.
UNASSIGNED: We identified patients belonging to 7 single race/ethnicity groups, 4 multi-race/ethnicity groups, and a non-Hispanic White (NHW) comparison group at two large health systems in Hawaii and California. We estimated annual smoking prevalence from 2011 through 2018 by group and gender. We examined incidence of CVD events by smoking status and race/ethnicity, and computed hazard ratios for CVD events by age, gender, race/ethnicity, census block median household income, census block college degree, and study site using Cox regression.
UNASSIGNED: Of the 12 groups studied, the Asian Indian and Chinese American groups had the lowest smoking prevalence, and the Asian + Pacific Islander multiracial group had the highest smoking prevalence. The prevalence of smoking decreased from 2011 to 2018 for all groups. Multi-race/ethnicity groups had higher risk of CVD than the NHW group. There was no significant interaction between race/ethnicity and smoking in models predicting CVD, but the association between race/ethnicity and CVD incidence was attenuated after adjusting for smoking status.
UNASSIGNED: There is considerable heterogeneity in smoking prevalence and the risk of CVD among API subgroups.

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.

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.
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.
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.
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.
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.