Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study.

BACKGROUND: In China, depressive disorders have been estimated to be the second leading cause of years lived with disability. However, nationally representative epidemiological data for depressive disorders, in particular use of mental health services by adults with these disorders, are unavailable in China. The present study, part of the China Mental Health Survey, 2012-15, aims to describe the socioeconomic characteristics and the use of mental health services in people with depressive disorders in China. METHODS: The China Mental Health Survey was a cross-sectional epidemiological survey of mental disorders in a multistage clustered-area probability sample of adults of Chinese nationality (≥18 years) from 157 nationwide representative population-based disease surveillance points in 31 provinces across China. Trained investigators interviewed the participants with the Composite International Diagnostic Interview 3.0 to ascertain the presence of lifetime and 12-month depressive disorders according to DSM-IV criteria, including major depressive disorder, dysthymic disorder, and depressive disorder not otherwise specified. Participants with 12-month depressive disorders were asked whether they received any treatment for their emotional problems during the past 12 months and, if so, the specific types of treatment providers. The Sheehan Disability Scale (SDS) was used to assess impairments associated with 12-month depressive symptoms. Data-quality control procedures included logic check by computers, sequential recording check, and phone-call check by the quality controllers, and reinterview check by the psychiatrists. Data were weighted according to the age-sex-residence distribution data from China's 2010 census population survey to adjust for differential probabilities of selection and differential response, as well as to post-stratify the sample to match the population distribution. FINDINGS: 28 140 respondents (12 537 [44·6%] men and 15 603 [55·4%] women) completed the survey between July 22, 2013, and March 5, 2015. Ethnicity data (Han or non-Han) were collected for only a subsample. Prevalence of any depressive disorders was higher in women than men (lifetime prevalence odds ratio [OR] 1·44 [95% CI 1·20-1·72] and 12-month prevalence OR 1·41 [1·12-1·78]), in unemployed people than employed people (lifetime OR 2·38 [95% CI 1·68-3·38] and 12-month OR 2·80 [95% CI 1·88-4·18]), and in people who were separated, widowed, or divorced compared with those who were married or cohabiting (lifetime OR 1·87 [95% CI 1·39-2·51] and 12-month OR 1·85 [95% CI 1·40-2·46]). Overall, 574 (weighted % 75·9%) of 744 people with 12-month depressive disorders had role impairment of any SDS domain: 439 (83·6%) of 534 respondents with major depressive disorder, 207 (79·8%) of 254 respondents with dysthymic disorder, and 122 (59·9%) of 189 respondents with depressive disorder not otherwise specified. Only an estimated 84 (weighted % 9·5%) of 1007 participants with 12-month depressive disorders were treated in any treatment sector: 38 (3·6%) in speciality mental health, 20 (1·5%) in general medical, two (0·3%) in human services, and 21 (2·7%) in complementary and alternative medicine. Only 12 (0·5%) of 1007 participants with depressive disorders were treated adequately. INTERPRETATION: Depressive disorders in China were more prevalent in women than men, unemployed people than employed, and those who were separated, widowed, or divorced than people who were married or cohabiting. Most people with depressive disorders reported social impairment. Treatment rates were very low, and few people received adequate treatment. National programmes are needed to remove barriers to availability, accessibility, and acceptability of care for depression in China. FUNDING: National Health Commission and Ministry of Science and Technology of People's Republic of China. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Access to Lung Cancer Screening in the Veterans Health Administration: Does Geographic Distribution Match Need in the Population?

BACKGROUND: Studies show uneven access to Medicare-approved lung cancer screening (LCS) programs across the United States. The Veterans Health Administration (VA), the largest national US integrated health system, is potentially well positioned to coordinate LCS services across regional units to ensure that access matches distribution of need nationally. RESEARCH QUESTION: To what extent does LCS access (considering both VA and partner sites) and use match the distribution of eligible Veterans at state and regional levels? METHODS: In this retrospective analysis, we identified LCS examinations in VA facilities between 2013 and 2019 from the VA Corporate Data Warehouse and plotted VA facilities with LCS geographically. We compared estimated LCS rates (unique Veterans screened per LCS-eligible population) across states and VA regional units. Finally, we assessed whether the VA's new partnership with the GO2 Foundation for Lung Cancer (which includes more than 750 LCS centers) closes geographic gaps in LCS access. RESULTS: We identified 71,898 LCS examinations in 96 of 139 (69.1%) VA facilities in 44 states between 2013 and 2019, with substantial variation across states (0-8 VA LCS facilities per state). Screening rates among eligible Veterans in the population varied more than 30-fold across regional networks (rate ratio, 33.6; 95% CI, 30.8-36.7 for VA New England vs Veterans Integrated Service Network 4), with weak correlation between eligible populations and LCS rates (coefficient, -0.30). Partnering with the GO2 Foundation for Lung Cancer expands capacity and access (eg, all states now have ≥ 1 VA or partner LCS site), but 9 of the 12 states with the highest proportions of rural Veterans still have ≤ 3 total LCS facilities. INTERPRETATION: Disparities in LCS access exist based on where Veterans live, particularly for rural Veterans, even after partnering with the GO2 Foundation for Lung Cancer. The nationally integrated VA system has an opportunity to leverage regional resources to distribute and coordinate LCS services better to ensure equitable access.

Incidence and predictors of early and late hospital readmission after transurethral resection of the prostate: a population-based cohort study.

OBJECTIVES: To evaluate the incidence and predictors of hospital readmission and emergency department (ED) visits in patients with benign prostatic hyperplasia treated by transurethral resection of the prostate (TURP). PATIENTS AND METHODS: We conducted a retrospective cohort study using a linked administrative dataset from Calgary, Canada. Participants were men who underwent their first TURP procedure between 2015 and 2017. We examined patient demographics, and type of surgery (elective or urgent). Comorbidities were scored using the Charlson comorbidity index (CCI). The primary outcomes were unplanned hospital readmissions and ED visits at 30, 60 and 90 days after TURP. The secondary aim was to identify potential predictors across these groups. RESULTS: We identified 3059 men, most of whom underwent elective TURP (83%). The mean (sd) patient age was 71.0 (10.0) years. A total of 224 patients (7.4%) were readmitted to the hospital within 30 days, 290 (9.5%) within 60 days, and 339 (11.1%) within 90 days of discharge. The frequency of return visits within 30, 60 and 90 days of TURP were 21.4%, 26% and 28.6%, respectively. The most responsible diagnoses for ED visit within 90 days were haematuria (15.4%) and retention of urine (12.8%). Multivariable analysis showed that age (odds ratio [OR] 1.61, P < 0.001), surgery type (OR 2.20, P < 0.001), and CCI score (OR 2.03, P < 0.001) were independently associated with odds of readmission and ED visits at all time points. CONCLUSION: Older age, poorer health and urgent surgery predicted return to ED or readmission after TURP; efforts should be made to improve selection, counselling and preoperative optimization based on these risks.

Determinants of lamina cribrosa depth in healthy Asian eyes: the Singapore Epidemiology Eye Study.

AIM: To investigate the determinants of lamina cribrosa depth (LCD) in healthy eyes of Chinese and Indian Singaporean adults. METHODS: The optic nerve head (ONH) of the right eye of 1396 subjects (628 Chinese and 768 Indian subjects) was imaged with optical coherence tomography (OCT, Spectralis, Heidelberg, Germany). LCD was defined as the distance from the Bruch's membrane opening (LCD-BMO) or the peripapillary sclera (LCD-PPS) reference plane to the laminar surface. A linear regression model was used to evaluate the relationship between the LCD and its determinants. RESULTS: Both LCDs were significantly different between the two races (LCD-BMO: 421.95 (95% CI 365.32 to 491.79) µm in Chinese vs 430.39 (367.46-509.81) µm in Indians, p=0.021; and LCD-PPS: 353.34 (300.98-421.45) µm in Chinese vs 376.76 (313.39-459.78) µm in Indians, p<0.001). In the multivariable regression analysis, the LCD-PPS of the whole cohort was independently associated with females (ß=-31.93, p<0.001), Indians subjects (ß=21.39, p=0.004) (Chinese as the reference), axial length (Axl) (ß=-6.68, p=0.032), retinal nerve fibre layer thickness (RNFL) (ß=0.71, p=0.019), choroidal thickness (ChT) (ß=0.41, p<0.001), vertical cup disc ratio (VCDR) (ß=24.42, p<0.001) and disc size (ß=-60.75, p=0.001). For every 1 year older in age, the LCD-PPS was deeper on average by 1.95 µm in Chinese subjects (p=0.01) but there was no association in Indians subjects (p=0.851). CONCLUSIONS: The LCD was influenced by age, gender, race, Axl, RNFL, ChT, VCDR and disc size. This normative LCD database may facilitate a more accurate assessment of ONH cupping using OCT in Asian populations.

National health screening may reduce cardiovascular morbidity and mortality among the elderly.

OBJECTIVES: Since 2007, the Korean government has provided a free health screening to the elderly starting at the age of 66 years. The purpose of this study was to evaluate the association between this general health screening and the incidences of stroke and myocardial infarction and mortality. STUDY DESIGN: The study design used in this study is a retrospective cohort study. METHODS: The study was conducted using the universe of insurance claims data of Korea and followed a cohort of individuals aged 66 years in 2009 from 2006 through 2016 (n = 354,194). We assessed the association between receipt of the national health screening and health outcomes using propensity matching and Cox proportional hazard models. RESULTS: We found that the receipt of the national health screening was associated with a reduction in negative health outcomes. The hazard ratio for stroke was 0.89 (P < 0.001), 0.88 (P < 0.001) for myocardial infarction and 0.58 for death (P < 0.001). CONCLUSION: Korea's national health screening was associated with reductions in cardiovascular morbidity and mortality in the elderly.

Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: a population-based cohort study.

BACKGROUND: Diabetes has been associated with increased COVID-19-related mortality, but the association between modifiable risk factors, including hyperglycaemia and obesity, and COVID-19-related mortality among people with diabetes is unclear. We assessed associations between risk factors and COVID-19-related mortality in people with type 1 and type 2 diabetes. METHODS: We did a population-based cohort study of people with diagnosed diabetes who were registered with a general practice in England. National population data on people with type 1 and type 2 diabetes collated by the National Diabetes Audit were linked to mortality records collated by the Office for National Statistics from Jan 2, 2017, to May 11, 2020. We identified the weekly number of deaths in people with type 1 and type 2 diabetes during the first 19 weeks of 2020 and calculated the percentage change from the mean number of deaths for the corresponding weeks in 2017, 2018, and 2019. The associations between risk factors (including sex, age, ethnicity, socioeconomic deprivation, HbA1c, renal impairment [from estimated glomerular filtration rate (eGFR)], BMI, tobacco smoking status, and cardiovascular comorbidities) and COVID-19-related mortality (defined as International Classification of Diseases, version 10, code U07.1 or U07.2 as a primary or secondary cause of death) between Feb 16 and May 11, 2020, were investigated by use of Cox proportional hazards models. FINDINGS: Weekly death registrations in the first 19 weeks of 2020 exceeded the corresponding 3-year weekly averages for 2017-19 by 672 (50·9%) in people with type 1 diabetes and 16 071 (64·3%) in people with type 2 diabetes. Between Feb 16 and May 11, 2020, among 264 390 people with type 1 diabetes and 2 874 020 people with type 2 diabetes, 1604 people with type 1 diabetes and 36 291 people with type 2 diabetes died from all causes. Of these total deaths, 464 in people with type 1 diabetes and 10 525 in people with type 2 diabetes were defined as COVID-19 related, of which 289 (62·3%) and 5833 (55·4%), respectively, occurred in people with a history of cardiovascular disease or with renal impairment (eGFR <60 mL/min per 1·73 m2). Male sex, older age, renal impairment, non-white ethnicity, socioeconomic deprivation, and previous stroke and heart failure were associated with increased COVID-19-related mortality in both type 1 and type 2 diabetes. Compared with people with an HbA1c of 48-53 mmol/mol (6·5-7·0%), people with an HbA1c of 86 mmol/mol (10·0%) or higher had increased COVID-19-related mortality (hazard ratio [HR] 2·23 [95% CI 1·50-3·30, p<0·0001] in type 1 diabetes and 1·61 [1·47-1·77, p<0·0001] in type 2 diabetes). In addition, in people with type 2 diabetes, COVID-19-related mortality was significantly higher in those with an HbA1c of 59 mmol/mol (7·6%) or higher than in those with an HbA1c of 48-53 mmol/mol (HR 1·22 [95% CI 1·15-1·30, p<0·0001] for 59-74 mmol/mol [7·6-8·9%] and 1·36 [1·24-1·50, p<0·0001] for 75-85 mmol/mol [9·0-9·9%]). The association between BMI and COVID-19-related mortality was U-shaped: in type 1 diabetes, compared with a BMI of 25·0-29·9 kg/m2, a BMI of less than 20·0 kg/m2 had an HR of 2·45 (95% CI 1·60-3·75, p<0·0001) and a BMI of 40·0 kg/m2 or higher had an HR of 2·33 (1·53-3·56, p<0·0001); the corresponding HRs for type 2 diabetes were 2·33 (2·11-2·56, p<0·0001) and 1·60 (1·47-1·75, p<0·0001). INTERPRETATION: Deaths in people with type 1 and type 2 diabetes rose sharply during the initial COVID-19 pandemic in England. Increased COVID-19-related mortality was associated not only with cardiovascular and renal complications of diabetes but, independently, also with glycaemic control and BMI. FUNDING: None.

Active surveillance of acute paediatric hospitalisations demonstrates the impact of vaccination programmes and informs vaccine policy in Canada and Australia.

Sentinel surveillance of acute hospitalisations in response to infectious disease emergencies such as the 2009 influenza A(H1N1)pdm09 pandemic is well described, but recognition of its potential to supplement routine public health surveillance and provide scalability for emergency responses has been limited. We summarise the achievements of two national paediatric hospital surveillance networks relevant to vaccine programmes and emerging infectious diseases in Canada (Canadian Immunization Monitoring Program Active; IMPACT from 1991) and Australia (Paediatric Active Enhanced Disease Surveillance; PAEDS from 2007) and discuss opportunities and challenges in applying their model to other contexts. Both networks were established to enhance capacity to measure vaccine preventable disease burden, vaccine programme impact, and safety, with their scope occasionally being increased with emerging infectious diseases' surveillance. Their active surveillance has increased data accuracy and utility for syndromic conditions (e.g. encephalitis), pathogen-specific diseases (e.g. pertussis, rotavirus, influenza), and adverse events following immunisation (e.g. febrile seizure), enabled correlation of biological specimens with clinical context and supported responses to emerging infections (e.g. pandemic influenza, parechovirus, COVID-19). The demonstrated long-term value of continuous, rather than incident-related, operation of these networks in strengthening routine surveillance, bridging research gaps, and providing scalable public health response, supports their applicability to other countries.

Clinically Integrated Physical Therapist Practice in Cancer Care: A New Comprehensive Approach.

Best practice recommendations in cancer care increasingly call for integrated rehabilitation services to address physical impairments and disability. These recommendations have languished primarily due to a lack of pragmatic, generalizable intervention models. This perspective paper proposes a clinically integrated physical therapist (CI-PT) model that enables flexible and scalable services for screening, triage, and intervention addressing functional mobility. The model is based on (1) a CI-PT embedded in cancer care provider clinics, and (2) rehabilitation across the care continuum determined by the patient's level of functional mobility. The CI-PT model includes regular screening of functional mobility in provider clinics via a patient-reported mobility measure-the Activity Measure for Post-Acute Care, a brief physical therapy evaluation tailored to the specific functional needs of the individual-and a tailored, skilled physical therapist intervention based on functional level. The CI-PT model provides a pragmatic, barrier-free, patient-centric, data-driven approach to integrating rehabilitation as part of standard care for survivors of cancer. The model standardizes CI-PT practice and may be sufficiently agile to provide targeted interventions in widely varying cancer settings and populations. Therefore, it may be ideal for wide implementation among outpatient oncological settings. Implementation of this model requires a shared approach to care that includes physical therapists, rehabilitation administrators, cancer care providers, and cancer center administrators.

A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions.

Bivariate choropleth mapping is a straightforward but underused method for displaying geographic health information to use in public health decision making. Previous studies have recommended this approach for state comprehensive cancer control planning and similar efforts. In this method, 2 area-level variables of interest are mapped simultaneously, often as overlapping quantiles or by using other classification methods. Variables to be mapped may include area-level (eg, county level) measures of disease burden, health care use, access to health care services, and sociodemographic characteristics. We demonstrate how geographic information systems software, specifically ArcGIS, can be used to develop bivariate choropleth maps to inform resource allocation and public health interventions. We used 2 types of county-level public health data: South Carolina's Behavioral Risk Factor Surveillance System estimates of ever having received cervical cancer screening, and a measure of availability of cervical cancer screening providers that are part of South Carolina's Breast and Cervical Cancer Early Detection Program. Identification of counties with low screening rates and low access to care may help inform where additional resources should be allocated to improve access and subsequently improve screening rates. Similarly, identifying counties with low screening rates and high access to care may help inform where educational and behavioral interventions should be targeted to improve screening in areas of high access.

Does establishing local treatment institutions lead to different populations seeking treatment among Greenlandic Inuit?

Introduction: In 2016, a new addiction treatment service was established in Greenland to tackle the addiction problems with alcohol, cannabis and gambling among the population. The new service has established a treatment center in each of the five municipalities and works in partnership with a central private provider of treatment for those who reside in areas without a local treatment center.Methods: The national addiction database provided us with data from the Alcohol Use Disorder Identification Test, Alcohol Severity Index and questions on cannabis use and gambling behavior received at referral to, and at initiation of treatment. The data were analyzed for differences between the population in local or central treatment using SPSS version 25 (SPSS Inc., Chicago, IL).Results: Significant differences between the individuals in local and central treatment were revealed. Individuals in local treatment are more often women with minor children and a job, and their alcohol use is concentrated on weekends/holidays. Individuals in central treatment are more equal in both genders, few have minor children living at home, heavy drinking is more pronounced, and cannabis is used more frequently as well.Discussion: The findings support our expectations of local treatment being more attractive to individuals with obligations at home. The differences in the populations are worth considering when planning the treatment service, as the needs of the populations might differ. The findings are limited by many missing in the analyses, which we believe is caused by the establishing process of the new service.

In search of potential predictors of erythropoiesis-stimulating agents (ESAs) hyporesponsiveness: a population-based study.

BACKGROUND: Evidences show that around 20% of biosimilar or originator erythropoiesis-stimulating agents (ESAs) users are hyporesponsive. Controversial post-marketing data exist on the predictors of ESA hyporesponsiveness. The aim of this study was to identify predictors of ESA hyporesponsiveness in patients with chronic kidney disease (CKD) or cancer in clinical practice. METHODS: During the years 2009-2015, a multi-center, population-based, cohort study was conducted using claims databases of Treviso and Caserta Local Health Units (LHUs). All incident ESA users were characterized at baseline and the differences between the baseline hemoglobin (Hb) value, that is the Hb registered within 30 days prior to the first ESA dispensing (index date, ID) and each outcome Hb value (registered between 30 and 180 days after ID) were calculated and defined as delta Hb (ΔHb). Incident ESA users were defined as hyporesponsive if, during follow-up, they registered at least one ΔHb < 0 g/dL. Including all potential predictors of ESA hyporesponsiveness and stratifying by indication for use, univariate and multivariate binary logistic regression models and Receiver Operating Characteristic (ROC) curves were carried out. RESULTS: In general, 1080 incident ESA users (CKD: 57.0%; cancer: 43.0%) were identified. In CKD, predictors of ESA hyporesponsiveness were C-reactive protein (OR = 1.2, 95% CI: 1.0-1.5; P-value = 0.060) and high levels of baseline Hb (OR = 1.7, 95% CI: 1.2-2.2; P-value< 0,001), the latter being also predictor of ESA hyporesponsiveness in cancer (OR = 1.7, 95% CI: 1.1-2.4; P-value = 0.007). Both in CKD and in cancer, the type of ESA, biosimilar or originator, was not a predictor of ESA hyporesponsiveness. In CKD, concomitant use of iron preparations (OR = 0.3, 95% CI: 0.2-0.7; P-value = 0.002) and of high dosage of angiotensin-converting enzyme inhibitors/angiotensin II-receptor blockers (OR = 0.5, 95% CI: 0.3-0.9; P-value = 0.022) were protective factors against ESA hyporesponsiveness. CONCLUSIONS: The study confirmed traditional potential predictors of hyporesponsiveness to ESA. The use of biosimilar or originator ESA was not a predictor of hyporesponsiveness in an outpatient setting from two large Italian areas. A better knowledge of the predictors of ESA response would allow a better anemia management to improve patients' quality of life.

Risk of major autoimmune diseases in female breast cancer patients: A nationwide, population-based cohort study.

BACKGROUND: Breast cancer is one of the most common malignancies among women. However, there remains no consensus in current literature on the incidence of autoimmune diseases among breast cancer patients. The purpose of this study was to evaluate the risks of major autoimmune diseases (MAD) including systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), Sjögren's syndrome (SS) and dermatomyositis (DMtis)/polymyositis (PM) in female breast cancer patients. METHODS: Using the Taiwanese National Health Insurance Research Database (NHIRD) records from 2003 to 2013, we identified newly-diagnosed female breast cancer patients and randomly selected females without breast cancer in the period 2007 to 2013 into a control group. We matched the two cohorts using a 1:4 ratio based on age, and the year of index date for comparison of the risk of major autoimmune diseases. We estimated and compared the relative risks of autoimmune diseases in female breast cancer patients and females without breast cancer. RESULTS: A total of 54,311 females with breast cancer and 217,244 matched females without breast cancer were included in this study. For SLE, the incidence rates were 2.3 (breast cancer group) vs. 10.0 (control group) per 100,000 women years; for RA rates were 19.3 (breast cancer group) vs. 42.7 (control group) per 100,000 women years; and for SS rates were 20.5 (breast cancer group) vs. 38.2 (control group) per 100,000 women years. After adjusting for potential confounders, the hazard ratios (95% confidence intervals) for female breast cancer patients vs. control group were 0.04 (0.01-0.24) for SLE; 0.03 (0.02-0.04) for RA; and 0.21 (0.09-0.48) for SS. CONCLUSION: Female breast cancer patients had lower risks of SLE, RA and SS when compared to female individuals without breast cancer. However, there was no significant difference in the risk of developing DMtis/PM between both groups.

Global Incidence of Frailty and Prefrailty Among Community-Dwelling Older Adults: A Systematic Review and Meta-analysis.

Importance: Frailty is a common geriatric syndrome of significant public health importance, yet there is limited understanding of the risk of frailty development at a population level. Objective: To estimate the global incidence of frailty and prefrailty among community-dwelling adults 60 years or older. Data Sources: MEDLINE, Embase, PsycINFO, Web of Science, CINAHL Plus, and AMED (Allied and Complementary Medicine Database) were searched from inception to January 2019 without language restrictions using combinations of the keywords frailty, older adults, and incidence. The reference lists of eligible studies were hand searched. Study Selection: In the systematic review, 2 authors undertook the search, article screening, and study selection. Cohort studies that reported or had sufficient data to compute incidence of frailty or prefrailty among community-dwelling adults 60 years or older at baseline were eligible. Data Extraction and Synthesis: The methodological quality of included studies was assessed using The Joanna Briggs Institute's Critical Appraisal Checklist for Prevalence and Incidence Studies. Meta-analysis was conducted using a random-effects (DerSimonian and Laird) model. Main Outcomes and Measures: Incidence of frailty (defined as new cases of frailty among robust or prefrail individuals) and incidence of prefrailty (defined as new cases of prefrailty among robust individuals), both over a specified duration. Results: Of 15 176 retrieved references, 46 observational studies involving 120 805 nonfrail (robust or prefrail) participants from 28 countries were included in this systematic review. Among the nonfrail individuals who survived a median follow-up of 3.0 (range, 1.0-11.7) years, 13.6% (13 678 of 100 313) became frail, with the pooled incidence rate being 43.4 (95% CI, 37.3-50.4; I2 = 98.5%) cases per 1000 person-years. The incidence of frailty was significantly higher in prefrail individuals than robust individuals (pooled incidence rates, 62.7 [95% CI, 49.2-79.8; I2 = 97.8%] vs 12.0 [95% CI, 8.2-17.5; I2 = 94.9%] cases per 1000 person-years, respectively; P for difference < .001). Among robust individuals in 21 studies who survived a median follow-up of 2.5 (range, 1.0-10.0) years, 30.9% (9974 of 32 268) became prefrail, with the pooled incidence rate being 150.6 (95% CI, 123.3-184.1; I2 = 98.9%) cases per 1000 person-years. The frailty and prefrailty incidence rates were significantly higher in women than men (frailty: 44.8 [95% CI, 36.7-61.3; I2 = 97.9%] vs 24.3 [95% CI, 19.6-30.1; I2 = 8.94%] cases per 1000 person-years; prefrailty: 173.2 [95% CI, 87.9-341.2; I2 = 99.1%] vs 129.0 [95% CI, 73.8-225.0; I2 = 98.5%] cases per 1000 person-years). The incidence rates varied by diagnostic criteria and country income level. The frailty and prefrailty incidence rates were significantly reduced when accounting for the risk of death. Conclusions and Relevance: Results of this study suggest that community-dwelling older adults are prone to developing frailty. Increased awareness of the factors that confer high risk of frailty in this population subgroup is vital to inform the design of interventions to prevent frailty and to minimize its consequences.

Susceptibility of Pseudomonas aeruginosa and antimicrobial activity using PK/PD analysis: an 18-year surveillance study.

INTRODUCTION: We analysed the changes in the susceptibility of Pseudomonas aeruginosa to antimicrobials over an 18-year period (2000-2017) in order to evaluate the adequacy of the antimicrobial therapy against this organism in patients admitted in a tertiary Spanish hospital (excluding the intensive care unit). In addition, the antimicrobial activity was evaluated using pharmacokinetic/pharmacodynamic (PK/PD) criteria as a microbiological surveillance tool. METHODS: Susceptibility was studied according to the Clinical and Laboratory Standards Institute breakpoints. Monte Carlo simulations were conducted to calculate the cumulative fraction of response (CFR). Linear regression analysis was applied to determine the trends in susceptibility and in the CFR. RESULTS: In 2017, susceptibility rates were: amikacin, penicillins and cephalosporins ≥85%, tobramycin 76%, meropenem 75% and gentamicin, imipenem and fluoroquinolones <70%. PK/PD analyses was able to identify changes in antimicrobial activity not detected by only assessing MICs; meropenem administered in extended infusion attained a CFR >90%, ceftazidime, piperacillin/tazobactam and imipenem provided CFRs between 80-90%, all of them administered at the highest doses. CONCLUSIONS: Analysis of susceptibility and PK/PD modelling, should be considered together to select the most appropriate antimicrobial drug and dosage regimen. Empirical antipseudomonal therapy would vary considerably if both microbiological surveillance tools were considered. In this study, the PK/PD analysis made it possible to preserve the therapeutic value of antimicrobials with low susceptibility rates, such as carbapenems, and the selection of the most effective antimicrobials among those with high rates of susceptibility.

Injury and Illness Surveillance During the 2016 Department of Defense Warrior Games: Review of Methods and Results.

INTRODUCTION: Surveillance systems have become a valuable tool to capture epidemiological data at multi-sport events, with findings serving to predict and prevent injury, reduce illness, and guide efficient utilization of medical resources. In 2016, the first injury and illness surveillance tool for the Department of Defense (DoD) Warrior Games was established to inform the required medical footprint. The purpose of this paper is to describe the methods and findings from the 2016 DoD Warrior Games surveillance system, which included a database of injuries and illness. MATERIALS AND METHODS: A total of 245 wounded warrior (WW) athletes were followed over 19 days, to include train-up and competition periods, as they competed for their respective teams of Army, Navy, Air Force, Marines, Special Operations, and United Kingdom. Medical personnel recorded injuries and illnesses treated utilizing a standardized surveillance form and data were entered into a daily tracker to examine patterns or areas for prevention. Reports included sex, age, event discipline, previous injury or illness, reason for presentation, and treatment provided. RESULTS: From June 3 to June 21, 2016, 114 individual encounters were recorded on the standard form and entered into the surveillance database. Athletes accounted for 67% of all encounters. Illness accounted for 30.7% of all visits, while injuries accounted for 69.2%. The incident proportion of injuries in athletes was 23.3 injuries per 100 athletes (95% CI 17.6, 30.1) and incident rate of 12.2 injuries per 1000 athlete days. Integrative medicine treatments including acupuncture, osteopathic manipulative treatment (OMT), massage therapy, and gua sha accounted for the largest forms of treatment (31%). CONCLUSIONS: From the surveillance data, staff levels and treatment supplies can be adjusted. In addition an improved surveillance tool can be created. Continuous surveillance is required to provide information on trends in injury and illness to support prevention strategies.

Influenza A (H3) Outbreak at a Hurricane Harvey Megashelter in Harris County, Texas: Successes and Challenges in Disease Identification and Control Measure Implementation.

ABSTRACTWhen Hurricane Harvey landed along the Texas coast on August 25, 2017, it caused massive flooding and damage and displaced tens of thousands of residents of Harris County, Texas. Between August 29 and September 23, Harris County, along with community partners, operated a megashelter at NRG Center, which housed 3365 residents at its peak. Harris County Public Health conducted comprehensive public health surveillance and response at NRG, which comprised disease identification through daily medical record reviews, nightly "cot-to-cot" resident health surveys, and epidemiological consultations; messaging and communications; and implementation of control measures including stringent isolation and hygiene practices, vaccinations, and treatment. Despite the lengthy operation at the densely populated shelter, an early seasonal influenza A (H3) outbreak of 20 cases was quickly identified and confined. Influenza outbreaks in large evacuation shelters after a disaster pose a significant threat to populations already experiencing severe stressors. A holistic surveillance and response model, which consists of coordinated partnerships with onsite agencies, in-time epidemiological consultations, predesigned survey tools, trained staff, enhanced isolation and hygiene practices, and sufficient vaccines, is essential for effective disease identification and control. The lessons learned and successes achieved from this outbreak may serve for future disaster response settings. (Disaster Med Public Health Preparedness. 2019;13:97-101).

Incidence and survival impact of pulmonary arterial hypertension among patients with systemic lupus erythematosus: a nationwide cohort study.

BACKGROUND: No population-based study has investigated the cumulative incidence of pulmonary arterial hypertension (PAH) in patients with newly diagnosed systemic lupus erythematosus (SLE) or the survival impact of PAH in this population. METHOD: We used a nationwide database in Taiwan and enrolled incident SLE patients between January 1, 2000, and December 31, 2013. The cumulative incidence of PAH in the SLE patients and the survival of these patients were estimated by the Kaplan-Meier method. Potential predictors of the development of PAH were determined using a Cox proportional hazards regression model. RESULTS: Of 15,783 SLE patients, 336 (2.13%) developed PAH. The average interval from SLE diagnosis to PAH diagnosis was 3.66 years (standard deviation [SD] 3.36, range 0.1 to 13.0 years). Seventy percent of the patients developed PAH within 5 years after SLE onset. The 3- and 5-year cumulative incidence of PAH were 1.2% and 1.8%, respectively. Systemic hypertension was an independent predictor of PAH occurrence among the SLE patients (adjusted hazard ratio 2.27, 95% confidence interval 1.59-2.97). The 1-, 3-, and 5-year survival rates of SLE patients following the diagnosis of PAH were 87.7%, 76.8%, and 70.1%, respectively. CONCLUSIONS: PAH is a rare complication of SLE and the majority of PAH cases occur within the first 5 years following SLE diagnosis. Systemic hypertension may be a risk factor for PAH development in the SLE population. The overall 5-year survival rate after PAH diagnosis was 70.1%.

Evaluating Surveillance Patterns after Chemoradiation-Only Compared with Conventional Management for Older Patients with Rectal Cancer.

BACKGROUND: Upfront chemoradiation with omission of surgery (CR-only) is increasingly being used to treat rectal cancer. When CR-only is used with curative intent, intense surveillance is recommended. We hypothesized that in practice, few patients treated with CR-only receive intensive post-treatment surveillance. STUDY DESIGN: Using Surveillance, Epidemiology, and End Results (SEER)-Medicare, all nonmetastatic rectal cancer patients (≥66 years old) diagnosed from 2004 to 2012, who received upfront chemoradiation, were included. Patients who received CR-only were compared with patients receiving neoadjuvant therapy plus proctectomy. In the 24 months after treatment, markers of surveillance, including carcinoembryonic antigen testing (CEA), endoscopy, and imaging, were compared between groups. RESULTS: A total of 2,482 individuals met the inclusion criteria: 21% (n = 514) had CR-only and 79% had conventional treatment (ie chemoradiation plus proctectomy). Only 2.5% and 3.4% of those in the CR-only and conventional treatment groups, respectively, were in complete compliance with National Comprehensive Cancer Network surveillance guidelines during the first 2 years post-treatment (p < 0.01). The CR-only group was less likely than the conventional treatment group to receive: CEA (adjusted risk ratio [aRR] 0.57; 95% CI 0.50 to 0.65), endoscopy (aRR 0.76; 95% CI 0.66 to 0.87), and office visits (aRR 0.88; 95% CI 0.84 to 0.92), respectively. However, there were similar rates of cross-sectional imaging between groups (aRR 1.31; 95% CI 0.93 to 1.85). CONCLUSIONS: Adherence to guideline-recommended surveillance was poor for all Medicare patients with rectal cancer. Despite recommendations for closer follow-up, patients treated with CR-only were less likely to receive surveillance than those treated with conventional treatment. Efforts should be made to increase adherence to surveillance guidelines for all rectal cancer patients treated with curative intent, but particularly for those with higher risk of recurrence, such as those treated with CR-only.

Epidemiology of Whipple's Disease in the USA Between 2012 and 2017: A Population-Based National Study.

OBJECTIVE: Prior studies on the epidemiology of Whipple's disease are limited by small sample size and case series design. We sought to characterize the epidemiology of Whipple's disease in the USA utilizing a large population-based database. METHODS: We queried a commercial database (Explorys Inc, Cleveland, OH), an aggregate of electronic health record data from 26 major integrated healthcare systems in the USA. We identified a cohort of patients with a diagnosis of Whipple's disease based on systemized nomenclature of medical terminology (SNOMED CT) codes. We calculated the overall and age-, race-, ethnicity, and gender-based prevalence of Whipple's disease and prevalence of associated diagnoses using univariate analysis. RESULTS: A total of 35,838,070 individuals were active in the database between November 2012 and November 2017. Of these, 350 individuals had a SNOMED CT diagnosis of Whipple's disease, with an overall prevalence of 9.8 cases per 1 million. There was no difference in prevalence based on sex. However, prevalence of Whipple's disease was higher in Caucasians, non-Hispanics, and individuals > 65 years old. Individuals with a diagnosis of Whipple's disease were more likely to have associated diagnoses/findings of arthritis, CNS disease, endocarditis, diabetes, malignancy, dementia, vitamin D deficiency, iron deficiency, chemotherapy, weight loss, abdominal pain, and lymphadenopathy. CONCLUSIONS: To our knowledge, this is the largest study to date examining the epidemiology of Whipple's disease. In this large population-based study, the overall prevalence of Whipple's disease in the USA is 9.8 cases per 1 million people. It affects men and women at similar rates and is more common in Caucasians, non-Hispanics, and people > 65 years old.