Changes in Sales of Tobacco and Nicotine Replacement Therapy Products Before and During the COVID-19 Pandemic.

INTRODUCTION: The COVID-19 pandemic and its associated social distancing policies such as lockdowns and quarantine influenced people's lives and health behaviors. We comprehensively assessed national trends in sales of cigarettes, cigars, e-cigarettes, and over-the-counter nicotine replacement therapy (NRT) products before and during the pandemic, allowing for cross-product comparisons. Stockpiling behavior was also assessed. METHODS: We used US national tobacco and over-the-counter NRT retail store scanner data (excluding internet, specialty/vape store, and prescription sales) collected at 4-week intervals by NielsenIQ from December 2018 to June 2021. We applied an interrupted time-series model to assess differences in tobacco product and NRT unit sales before and during the pandemic. We defined the prepandemic period as December 16, 2018, through April 4, 2020, pandemic as starting on April 5, 2020, through June 26, 2021, and the stockpiling period as one 4-week period before the pandemic started. RESULTS: Four-week cigarette, e-cigarette, and cigar unit sales on average increased by 11.5% (P = .006), 37.1% (P < .001), and 26.1% (P < .001) respectively, while 4-week NRT unit sales decreased on average by 13.1% (P < .001), during the pandemic compared with the prepandemic period. Stockpiling was associated with increases in sales of all tobacco products and NRT products. CONCLUSION: Unit sales of assessed tobacco products increased while NRT unit sales decreased during the COVID-19 pandemic, compared with the prepandemic period. These changes may suggest an increase in the intensity of tobacco product use or stockpiling of tobacco products among people who use tobacco.

Cholecystectomy among Patients Admitted to the Department of Surgery in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Introduction: Cholecystectomy refers to the surgical removal of the gallbladder. It is indicated in acute cholecystitis, and other complications of gallstones like cholecystitis, pancreatitis and bile duct obstruction, the presence of gallbladder trauma, and gallbladder cancer. The aim of this study was to find out the prevalence of cholecystectomy among patients admitted to the Department of Surgery in a tertiary care centre. Methods: A descriptive cross-sectional study was conducted among patients admitted to the Department of Surgery of a tertiary care centre. Data from 1 July 2021 to 1 July 2022 were collected between 10 February 2023 to 20 February 2023 from the hospital records. Ethical approval was taken from the Institutional Review Committee of the same institute (Reference number: 630/2079/80). Convenience sampling method was used. Documents and medical records of the cholecystectomy patients were assessed for personal data, medical history was extracted and analysed using Microsoft Excel 2016. Point estimate and 95% Confidence Interval were calculated. Results: Among 2452 patients admitted to the Department of Surgery, 894 (36.46%) (34.46-38.26, 95% Confidence Interval) underwent cholecystectomy. Conclusions: The prevalence of cholecystectomy in our study was found to be similar to other studies done in similar settings. Keywords: cholecystectomy; cholelithiasis; Nepal; prevalence.

Trends in Nicotine Strength in Electronic Cigarettes Sold in the United States by Flavor, Product Type, and Manufacturer, 2017-2022.

INTRODUCTION: Most e-cigarettes contain highly addictive nicotine. This study assessed trends in nicotine strength in e-cigarettes sold in the United States during January 2017-March 2022. AIMS AND METHODS: We obtained January 2017-March 2022 national retail e-cigarette sales data from NielsenIQ. We assessed monthly average nicotine strength overall, by e-cigarette product and flavor type, and manufacturer. A Joinpoint regression model assessed the magnitude and significance of changes in nicotine strength. RESULTS: During January 2017-March 2022, monthly average nicotine strength of e-cigarette products increased from 2.5% to 4.4%, an average of 0.8% per month (p < .001). Monthly average nicotine strength of disposable e-cigarettes increased the most (average monthly percentage change [AMPC] = 1.26%, p < .001) as compared to prefilled pods (AMPC = 0.6%, p < .001) and e-liquids (AMPC = 0.5%, p = .218). Monthly average nicotine strength for all flavors of e-cigarette products increased except for mint-flavored products. Increases were greatest for beverage-flavored products (AMPC = 2.1%, p < .001), followed by menthol-flavored products (AMPC = 1.2%, p < .001). Among the top 10 e-cigarette manufacturers assessed, monthly average nicotine strength decreased for Juul Labs products from 5% to 4.7% (AMPC = -0.1%, p < .001) but increased significantly for five manufacturers' products and remained unchanged at 5%-6% for four manufacturers' products. CONCLUSIONS: Monthly average nicotine strength of e-cigarette products increased overall, for most product and flavor types, and for some manufacturers in the United States during the study period. Imposing maximum limits on nicotine strength of e-cigarettes together with other evidence-based tobacco control strategies can help reduce the use of e-cigarettes among youth and increase tobacco product cessation among adults. IMPLICATIONS: From January 2017 to March 2022, the monthly average nicotine strength of disposable e-cigarettes increased substantially and exceeded prefilled pods since May 2020. E-cigarettes with menthol flavor and youth-appealing flavors, like fruit, also had sharp increases in monthly average nicotine strength. Among the top 10 e-cigarette manufacturers, monthly average nicotine strength increased or remained unchanged at a high nicotine level for all manufacturers' products, except Juul Lab's products. Comprehensive strategies including restricting sales of all flavored e-cigarettes, restricting youth tobacco product access, and imposing maximum limits on nicotine strength may help reduce youth e-cigarette use and increase tobacco cessation.

State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states.

BACKGROUND: Although treatment and control of diabetes can prevent complications and reduce morbidity, few data sources exist at the state level for surveillance of diabetes comorbidities and control. Surveys and electronic health records (EHRs) offer different strengths and weaknesses for surveillance of diabetes and major metabolic comorbidities. Data from self-report surveys suffer from cognitive and recall biases, and generally cannot be used for surveillance of undiagnosed cases. EHR data are becoming more readily available, but pose particular challenges for population estimation since patients are not randomly selected, not everyone has the relevant biomarker measurements, and those included tend to cluster geographically. METHODS: We analyzed data from the National Health and Nutritional Examination Survey, the Health and Retirement Study, and EHR data from the DARTNet Institute to create state-level adjusted estimates of the prevalence and control of diabetes, and the prevalence and control of hypertension and high cholesterol in the diabetes population, age 50 and over for five states: Alabama, California, Florida, Louisiana, and Massachusetts. RESULTS: The estimates from the two surveys generally aligned well. The EHR data were consistent with the surveys for many measures, but yielded consistently lower estimates of undiagnosed diabetes prevalence, and identified somewhat fewer comorbidities in most states. CONCLUSIONS: Despite these limitations, EHRs may be a promising source for diabetes surveillance and assessment of control as the datasets are large and created during the routine delivery of health care. TRIAL REGISTRATION: Not applicable.

Changes in Sales of E-Cigarettes, Cigarettes, and Nicotine Replacement Therapy Products Before, During, and After the EVALI Outbreak.

INTRODUCTION: In 2019, an outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) occurred in the US. We used Nielsen retail sales data to assess trends in sales of e-cigarettes, cigarettes, and nicotine replacement therapy (NRT) products before, during, and after the EVALI outbreak. METHODS: Monthly unit sales of e-cigarettes, cigarettes, and NRT products overall and by product type were assessed during January 2019 through June 2020 by using an interrupted time series model. Two time points were specified at the period ending July 13, 2019, and the period ending February 22, 2020, to partition before, during, and after the outbreak period. Sales trends by aggregated state-level EVALI case prevalence (low, medium, and high) were assessed to investigate interstate variations in changes of sales coinciding with the EVALI outbreak. RESULTS: Monthly e-cigarette sales increased 3.5% (P < .001) before the outbreak and decreased 3.1% (P < .001) during the outbreak, with no significant changes after the outbreak. Monthly cigarette sales increased 1.6% (P < .001) before the outbreak, decreased 1.8% (P < .001) during the outbreak, and increased 2.7% (P < .001) after the outbreak. NRT sales did not change significantly before or during the outbreak but decreased (2.8%, P = .01) after the outbreak. Sales trends by state-level EVALI case prevalence were similar to national-level sales trends. CONCLUSION: Cigarette and e-cigarette sales decreased during the EVALI outbreak, but no changes in overall NRT sales were observed until after the outbreak. Continued monitoring of tobacco sales data can provide insight into potential changes in use patterns and inform tobacco prevention and control efforts.

Cost of Cigarette Smoking‒Attributable Productivity Losses, U.S., 2018.

INTRODUCTION: Information on morbidity-related productivity losses attributable to cigarette smoking, an important component of the economic burden of cigarette smoking, is limited. This study fills this gap by estimating these costs in the U.S. and by state. METHODS: A human capital approach was used to estimate the cost of the morbidity-related productivity losses (absenteeism, presenteeism, household productivity, and inability to work) attributable to cigarette smoking among adults aged ≥18 years in the U.S. and by state. A combination of data, including the 2014-2018 National Health Interview Survey, 2018 Current Population Survey Annual Social and Economic Supplement, 2018 Behavioral Risk Factor Surveillance System, 2018 value of daily housework, and literature-based estimate of lost productivity while at work (presenteeism), was used. Costs were estimated for 2018, and all analyses were conducted in 2021. RESULTS: Estimated total cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. in 2018 was $184.9 billion. Absenteeism, presenteeism, home productivity, and the inability to work accounted for $9.4 billion, $46.8 billion, $12.8 billion, and $116.0 billion, respectively. State-level total costs ranged from $291 million to $16.9 billion with a median cost of $2.7 billion. CONCLUSIONS: The cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. and in each state was substantial in 2018 and varied across the states. These estimates can guide public health policymakers and practitioners planning and evaluating interventions designed to alleviate the burden of cigarette smoking at the state and national levels.

Inpatient care cost, duration, and acute complications associated with BMI in children and adults hospitalized for COVID-19.

OBJECTIVE: This study aimed to assess the association of BMI with inpatient care cost, duration, and acute complications among patients hospitalized for COVID-19 at 273 US hospitals. METHODS: Children (aged 2-17 years) and adults (aged ≥18 years) hospitalized for COVID-19 during March 2020-July 2021 and with measured BMI in a large electronic administrative health care database were included. Generalized linear models were used to assess the association of BMI categories with the cost and duration of inpatient care. RESULTS: Among 108,986 adults and 409 children hospitalized for COVID-19, obesity prevalence was 53.4% and 45.0%, respectively. Among adults, overweight and obesity were associated with higher cost of care, and obesity was associated with longer hospital stays. Children with severe obesity had higher cost of care but not significantly longer hospital stays, compared with those with healthy weight. Children with severe obesity were 3.7 times (95% CI: 1.4-9.5) as likely to have invasive mechanical ventilation and 62% more likely to have an acute complication (95% CI: 39%-90%), compared with children with healthy weight. CONCLUSIONS: These findings show that patients with a high BMI experience significant health care burden during inpatient COVID-19 care.

Estimation of Coronavirus Disease 2019 Hospitalization Costs From a Large Electronic Administrative Discharge Database, March 2020-July 2021.

BACKGROUND: Information on the costs of inpatient care for patients with coronavirus disease 2019 (COVID-19) is very limited. This study estimates the per-patient cost of inpatient care for adult COVID-19 patients seen at >800 US hospitals. METHODS: Patients aged ≥18 years with ≥1 hospitalization during March 2020-July 2021 with a COVID-19 diagnosis code in a large electronic administrative discharge database were included. We used validated costs when reported; otherwise, costs were calculated using charges multiplied by cost-to-charge ratios. We estimated costs of inpatient care per patient overall and by severity indicator, age, sex, underlying medical conditions, and acute complications of COVID-19 using a generalized linear model with log link function and gamma distribution. RESULTS: The overall cost among 654673 patients hospitalized with COVID-19 was $16.2 billion. Estimated per-patient hospitalization cost was $24 826. Among surviving patients, estimated per-patient cost was $13 090 without intensive care unit (ICU) admission or invasive mechanical ventilation (IMV), $21 222 with ICU admission alone, and $59 742 with IMV. Estimated per-patient cost among patients who died was $27 017. Adjusted cost differential was higher among patients with certain underlying conditions (eg, chronic kidney disease [$12 391], liver disease [$8878], cerebrovascular disease [$7267], and obesity [$5933]) and acute complications (eg, acute respiratory distress syndrome [$43 912], pneumothorax [$25 240], and intracranial hemorrhage [$22 280]). CONCLUSIONS: The cost of inpatient care for COVID-19 patients was substantial through the first 17 months of the pandemic. These estimates can be used to inform policy makers and planners and cost-effectiveness analysis of public health interventions to alleviate the burden of COVID-19.

Prevalence of Obesity in Inguinal Hernia Repair Patients in a Tertiary Care Center.

INTRODUCTION: Inguinal hernia is a common surgical problem, with a lifetime risk of 27% in men and 3% in women. Its cumulative incidence is 17.2% and 12.3% in body mass index of <25 kg/m2 and 25-30 kg/m2 respectively. Obesity had been regarded as the risk factor for the development of an inguinal hernia. However, recent epidemiologic studies have suggested the decreased prevalence of inguinal hernia in increased weight and body mass index individuals. The aim of this study is to find out the prevalence of obesity in inguinal hernia repair patients in a tertiary care center. METHODS: A descriptive cross-sectional observational study was performed in Bir Hospital from May 2018 to December 2019 after taking ethical approval from the institutional review board of NAMS. Convenient sampling was done with a sample size of 219. Statistical analysis was done using SPSS version 23 and Microsoft Excel software by descriptive statistics. RESULTS: The mean body mass index was 22.10±3.07 kg/m2. Body mass index category 18.5-22.9 kg/m2 had 133 (61%) male and seven (3.2%) female patients, category ≥30 kg/m2 had four (1.8%) male. Most of inguinal hernia repair patients were farmers 158 (72.5%). Common risk factors noted were smoking 142 (65.1%), heavy work 112 (51.4%), chronic cough 65 (29.8%). Most of the complications occurred in the normal body mass index category and the prevalence of complications decreased as the body mass index increased. The recurrence was found in 3 (1.4%) inguinal hernia repairs. CONCLUSIONS: The majority of inguinal hernia repair patients were non-obese, and complications were less in obese patients.

U.S. healthcare spending attributable to cigarette smoking in 2014.

INTRODUCTION: Cigarette smoking continues to be the leading cause of preventable disease and death in the U.S. Smoking also carries an economic burden, including smoking-attributable healthcare spending. This study assessed smoking-attributable fractions in healthcare spending between 2010 and 2014, overall and by insurance type (Medicaid, Medicare, private, out-of-pocket, other federal, other) and by medical service (inpatient, non-inpatient, prescriptions). METHODS: Data were obtained from the 2010-2014 Medical Expenditure Panel Survey linked to the 2008-2013 National Health Interview Survey. The final sample (n = 49,540) was restricted to non-pregnant adults aged 18 years or older. Estimates from two-part models (multivariable logistic regression and generalized linear models) and data from 2014 national health expenditures were combined to estimate the share of and total (in 2014 dollars) annual healthcare spending attributable to cigarette smoking among U.S. adults. All models controlled for socio-demographic characteristics, health-related behaviors, and attitudes. RESULTS: During 2010-2014, an estimated 11.7% (95% CI = 11.6%, 11.8%) of U.S. annual healthcare spending could be attributed to adult cigarette smoking, translating to annual healthcare spending of more than $225 billion dollars based on total personal healthcare expenditures reported in 2014. More than 50% of this smoking-attributable spending was funded by Medicare or Medicaid. For Medicaid, the estimated healthcare spending attributable fraction increased more than 30% between 2010 and 2014. CONCLUSIONS: Cigarette smoking exacts a substantial economic burden in the U.S. Continuing efforts to implement proven population-based interventions have been shown to reduce the health and economic burden of cigarette smoking nationally.

Receipt of and Spending on Cessation Medication Among US Adults With Employer-Sponsored Health Insurance, 2010 and 2017.

OBJECTIVE: Studies examining the use of smoking cessation treatment and related spending among enrollees with employer-sponsored health insurance are dated and limited in scope. We assessed changes in annual receipt of and spending on cessation medications approved by the US Food and Drug Administration (FDA) among tobacco users with employer-sponsored health insurance from 2010 to 2017. METHODS: We analyzed data on 439 865 adult tobacco users in 2010 and 344 567 adult tobacco users in 2017 from the IBM MarketScan Commercial Database. We used a negative binomial regression to estimate changes in receipt of cessation medication (number of fills and refills and days of supply). We used a generalized linear model to estimate spending (total, employers', and out of pocket). In both models, covariates included year, age, sex, residence, and type of health insurance plan. RESULTS: From 2010 to 2017, the percentage of adult tobacco users with employer-sponsored health insurance who received any cessation medication increased by 2.4%, from 15.7% to 16.1% (P < .001). Annual average number of fills and refills per user increased by 15.1%, from 2.5 to 2.9 (P < .001) and days of supply increased by 26.4%, from 81.9 to 103.5 (P < .001). The total annual average spending per user increased by 53.6%, from $286.40 to $440.00 (P < .001). Annual average out-of-pocket spending per user decreased by 70.9%, from $70.80 to $20.60 (P < .001). CONCLUSIONS: Use of smoking cessation medications is low among smokers covered by employer-sponsored health insurance. Opportunities exist to further increase the use of cessation medications by promoting the use of evidence-based cessation treatments and reducing barriers to coverage, including out-of-pocket costs.

Medical expenditures for hypertensive disorders during pregnancy that resulted in a live birth among privately insured women.

OBJECTIVE: To estimate the excess maternal health services utilization and direct maternal medical expenditures associated with hypertensive disorders during pregnancy and one year postpartum among women with private insurance in the United States. STUDY DESIGN: We used 2008-2014 IBM MarketScan® Commercial Databases to identify women aged 15-44 who had a pregnancy resulting in live birth during 1/1/09-12/31/13 and were continuously enrolled with non-capitated or partially capitated coverage from 12 months before pregnancy through 12 months after delivery. Hypertensive disorders identified by diagnosis codes were categorized into three mutually exclusive types: preeclampsia and eclampsia, chronic hypertension, and gestational hypertension. Multivariate negative binomial and generalized linear models were used to estimate service utilization and expenditures, respectively. MAIN OUTCOME MEASURES: Per person excess health services utilization and medical expenditures during pregnancy and one year postpartum associated with hypertensive disorders (in 2014 US dollars). RESULTS: Women with preeclampsia and eclampsia, chronic hypertension, and gestational hypertension had $9,389, $6,041, and $2,237 higher mean medical expenditures compared to women without hypertensive disorders ($20,252), respectively (ps < 0.001). One-third (36%) of excess expenditure associated with hypertensive disorders during pregnancy was attributable to outpatient services. CONCLUSIONS: Hypertensive disorders during pregnancy were associated with significantly higher health services utilization and medical expenditures among privately insured women with hypertensive disorders. Medical expenditures varied by types of hypertensive disorders. Stakeholders can use this information to assess the potential economic benefits of interventions that prevent these conditions or their complications.

Prevalence and medical expenditures of diabetes-related complications among adult Medicaid enrollees with diabetes in eight U.S. states.

AIMS: To estimate the prevalence and medical expenditures of diabetes-related complications (DRCs) among adult Medicaid enrollees with diabetes. METHODS: We estimated the prevalence and medical expenditures for 12 diabetes-related complications by Medicaid eligibility category (disability-based vs. non-disability-based) in eight states. We used generalized linear models with log link and gamma distribution to estimate the total per-person annual medical expenditures for DRCs, controlling for demographics, and other comorbidities. RESULTS: Among non-disability-based enrollees (NDBEs), 40.1% (in California) to 47.5% (in Oklahoma) had one or more DRCs, compared to 53.6% (in Alabama) to 64.8% (in Florida) among disability-based enrollees (DBEs). The most prevalent complication was neuropathy (16.1%-27.1% for NDBEs; 20.2%-30.4% for DBEs). Lower extremity amputation (<1% for both eligibilities) was the least prevalent complication. The costliest per-person complication was dialysis (per-person excess annual expenditure of $22,481-$41,298 for NDBEs; $23,569-$51,470 for DBEs in 2012 USD). Combining prevalence and per-person excess expenditures, the three costliest complications were nephropathy, heart failure, and ischemic heart disease (IHD) for DBEs, compared to neuropathy, nephropathy, and IHD for NDBEs. CONCLUSIONS: Our study provides data that can be used for assessing the health care resources needed for managing DRCs and evaluating cost-effectiveness of interventions to prevent and management DRCs.

Cost Effectiveness of the Tips From Former Smokers® Campaign-U.S., 2012-2018.

INTRODUCTION: Since 2012, the Centers for Disease Control and Prevention has conducted the national Tips From Former Smokers® public education campaign, which motivates smokers to quit by featuring people living with the real-life health consequences of smoking. Cost effectiveness, from the healthcare sector perspective, of the Tips From Former Smokers® campaign was compared over 2012-2018 with that of no campaign. METHODS: A combination of survey data from a nationally representative sample of U.S. adults that includes cigarette smokers and literature-based lifetime relapse rates were used to calculate the cumulative number of Tips From Former Smokers® campaign‒associated lifetime quits during 2012-2018. Then, lifetime health benefits (premature deaths averted, life years saved, and quality-adjusted life years gained) and healthcare sector cost savings associated with these quits were assessed. All the costs were adjusted for inflation in 2018 U.S. dollars. The Tips From Former Smokers® campaign was conducted and the survey data were collected during 2012-2018. Analyses were conducted in 2019. RESULTS: During 2012-2018, the Tips From Former Smokers® campaign was associated with an estimated 129,100 premature deaths avoided, 803,800 life years gained, 1.38 million quality-adjusted life years gained, and $7.3 billion in healthcare sector cost savings on the basis of an estimated 642,200 campaign-associated lifetime quits. The Tips From Former Smokers® campaign was associated with cost savings per lifetime quit of $11,400, per life year gained of $9,100, per premature deaths avoided of $56,800, and per quality-adjusted life year gained of $5,300. CONCLUSIONS: Mass-reach health education campaigns, such as Tips From Former Smokers®, can help smokers quit, improve health outcomes, and potentially reduce healthcare sector costs.

Availability and Characteristics of Hospital-Affiliated Tobacco-Cessation Programs in the U.S., 2000-2018.

INTRODUCTION: Smoking-cessation interventions can increase successful quitting, reduce healthcare costs, and enhance patients' health and well-being. This study assesses changes in the availability of hospital-affiliated smoking-cessation programs over time in the U.S. and examines the hospital characteristics associated with such programs. METHODS: Data were obtained from the American Hospital Association annual surveys. Joinpoint regressions were used to estimate the trends in having hospital-affiliated cessation programs between 2000 and 2018. A logit regression was used to estimate the association between hospital characteristics (bed size, location, teaching status, ownership) and having any hospital-affiliated cessation program. Analyses were conducted in 2019. RESULTS: The percentage of U.S. hospitals with any tobacco-cessation program increased from 23.8% (95% CI=22.7, 24.9) in 2000 to 45.5% (95% CI=44.2, 46.7) in 2018. There were sharp increases in the cessation programs between 2000 and 2002 but no change between 2015 and 2018. Hospitals with ≥200 beds (vs <200 beds; OR=2.6, 95% CI=2.5, 2.7), urban hospitals (vs rural; OR=1.3, 95% CI=1.2, 1.3), teaching hospitals (vs nonteaching; OR=1.7, 95% CI=1.7, 1.8), and private not-for-profit hospitals and public hospitals (vs private for-profit; OR=5.1, 95% CI=4.9, 5.3, and OR=3.2, 95% CI=3.0, 3.4, respectively) had higher odds of having a hospital-affiliated tobacco-cessation program. CONCLUSIONS: Less than half of U.S. hospitals reported having any hospital-affiliated cessation program in 2018. Although program prevalence nearly doubled between 2000 and 2015, this increase has not continued in recent years. Further efforts to promote and support hospital-affiliated cessation programs could be beneficial, especially among smaller, rural, nonteaching, and private for-profit hospitals.

The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort.

BACKGROUND: The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR) study uses a novel Electronic Health Record (EHR) data approach as a tool to assess the epidemiology of known and new risk factors for type 2 diabetes mellitus (T2DM) and study how prevention interventions affect progression to and onset of T2DM. We created an electronic cohort of 1.4 million patients having had at least 4 encounters with a healthcare organization for at least 24-months; were aged ≥18 years in 2010; and had no diabetes (i.e., T1DM or T2DM) at cohort entry or in the 12 months following entry. EHR data came from patients at nine healthcare organizations across the U.S. between January 1, 2010-December 31, 2016. RESULTS: Approximately 5.9% of the LEADR cohort (82,922 patients) developed T2DM, providing opportunities to explore longitudinal clinical care, medication use, risk factor trajectories, and diagnoses for these patients, compared with patients similarly matched prior to disease onset. CONCLUSIONS: LEADR represents one of the largest EHR databases to have repurposed EHR data to examine patients' T2DM risk. This paper is first in a series demonstrating this novel approach to studying T2DM. IMPLICATIONS: Chronic conditions that often take years to develop can be studied efficiently using EHR data in a retrospective design. LEVEL OF EVIDENCE: While much is already known about T2DM risk, this EHR's cohort's 160 M data points for 1.4 M people over six years, provides opportunities to investigate new unique risk factors and evaluate research hypotheses where results could modify public health practice for preventing T2DM.

Factors Contributing to the Rising National Cost of Glucose-Lowering Medicines for Diabetes During 2005-2007 and 2015-2017.

OBJECTIVE: We examined changes in glucose-lowering medication spending and quantified the magnitude of factors that are contributing to these changes. RESEARCH DESIGN AND METHODS: Using the Medical Expenditure Panel Survey, we estimated the change in spending on glucose-lowering medications during 2005-2007 and 2015-2017 among adults aged ≥18 years with diabetes. We decomposed the increase in total spending by medication groups: for insulin, by human and analog; and for noninsulin, by metformin, older, newer, and combination medications. For each group, we quantified the contributions by the number of users and cost-per-user. Costs were in 2017 U.S. dollars. RESULTS: National spending on glucose-lowering medications increased by $40.6 billion (240%), of which insulin and noninsulin medications contributed $28.6 billion (169%) and $12.0 billion (71%), respectively. For insulin, the increase was mainly associated with higher expenditures from analogs (156%). For noninsulin, the increase was a net effect of higher cost for newer medications (+88%) and decreased cost for older medications (-34%). Most of the increase in insulin spending came from the increase in cost-per-user. However, the increase in the number of users contributed more than cost-per-user in the rise of most noninsulin groups. CONCLUSIONS: The increase in national spending on glucose-lowering medications during the past decade was mostly associated with the increased costs for insulin, analogs in particular, and newer noninsulin medicines, and cost-per-user had a larger effect than the number of users. Understanding the factors contributing to the increase helps identify ways to curb the growth in costs.

Cigarette and electronic vapor product use among high school students in Georgia, 2015-2018.

Adolescent use of electronic vapor products (EVP) is increasing; however, changes in EVP use in the context of cigarette smoking is less certain. We analyzed trends in EVP and cigarette use among high school students in the state of Georgia. We used self-reported EVP and cigarette use from the annual Georgia Student Health Survey 2.0 for 2015 to 2018 (N = 1,405,108). Users were categorized as exclusive EVP users, exclusive cigarette users, or dual users. We assessed current (≥1 day in past 30 days) use of EVPs, cigarettes, and dual users of both products, as well as number of days the products were used among current users. We compared current users, as well as number of days used, across adjacent years using tests for proportion and Wilcoxon t-tests, respectively. The proportion of current exclusive EVP users and dual users increased during 2017-2018 (4.2% to 6.9% and 1.6% to 3.7%, p < 0.001, respectively) after declining during 2015-2017, while the proportion of exclusive cigarette users declined during 2015-2018 (2.0% to 1.0%, p < 0.001). Similarly, the mean number of days of EVP use increased among exclusive EVP and dual users, and mean number of days of cigarette use increased among dual users during 2017-2018 (p < 0.001). These findings reinforce the importance of continued efforts to reduce all forms of tobacco products use among Georgia high school students.

Colonic Duplication Cyst in an Adult Woman: A Case Report.

Intestinal duplications are rare congenital anomaly found in pediatric age group. Although, ileum is the most common site, there are cases of colonic duplications even in the adult. We report a case of 43 years woman presented with chronic constipation, intermittent colicky abdomen pain and a cystic lump in left abdomen diagnosed as tubular duplication cyst of descending colon. Colonoscopy is a good investigation tool for diagnosis of colonic duplications; however, it may not be true in all cases. She was managed with left hemicolectomy and excision of cyst with uneventful post-operative days. This case has been reported as it is a rare condition.

Medical Costs Among Youth Younger Than 20 Years of Age With and Without Diabetic Ketoacidosis at the Time of Diabetes Diagnosis.

OBJECTIVE: While diabetic ketoacidosis (DKA) is common in youth at the onset of the diabetes, the excess costs associated with DKA are unknown. We aimed to quantify the health care services use and medical care costs related to the presence of DKA at diagnosis of diabetes. RESEARCH DESIGN AND METHODS: We analyzed data from the U.S. MarketScan claims database for 4,988 enrollees aged 3-19 years insured in private fee-for-service plans and newly diagnosed with diabetes during 2010-2016. Youth with and without DKA at diabetes diagnosis were compared for mean health care service use (outpatient, office, emergency room, and inpatient visits) and medical costs (outpatient, inpatient, prescription drugs, and total) for 60 days prior to and 60 days after diabetes diagnosis. A two-part model using generalized linear regression and logistic regression was used to estimate medical costs, controlling for age, sex, rurality, health plan, year, presence of hypoglycemia, and chronic pulmonary condition. All costs were adjusted to 2016 dollars. RESULTS: At diabetes diagnosis, 42% of youth had DKA. In the 60 days prior to diabetes diagnosis, youth with DKA at diagnosis had less health services usage (e.g., number of outpatient visits: -1.17; P < 0.001) and lower total medical costs (-$635; P < 0.001) compared with youth without DKA at diagnosis. In the 60 days after diagnosis, youth with DKA had significantly greater health care services use and health care costs ($6,522) compared with those without DKA. CONCLUSIONS: Among youth with newly diagnosed diabetes, DKA at diagnosis is associated with significantly higher use of health care services and medical costs.