Assessment of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) Code Assignment Validity for Case Finding of Medication-related Hypoglycemia Acute Care Visits Among Medicare Beneficiaries.

OBJECTIVE: Administrative claims are commonly relied upon to identify hypoglycemia. We assessed validity of 14 International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code assignments to identify medication-related hypoglycemia leading to acute care encounters. RESEARCH DESIGN AND METHODS: A multisite, retrospective medical record review study was conducted in a sample of Medicare beneficiaries prescribed outpatient diabetes medications and who received hospital care between January 1, 2016 and September 30, 2017. Diagnosis codes were validated with structured medical record review using prespecified criteria (clinical presentation, blood glucose values, and treatments for hypoglycemia). Sensitivity, specificity, and positive and negative predictive value (PPV, NPV) were calculated and adjusted using sampling weights to correct for partial verification bias. RESULTS: Among 990 encounters (496 cases, 494 controls), hypoglycemia codes demonstrated moderate PPV (69.2%; 95% confidence interval: 65.0-73.0) and moderate sensitivity (83.9%; 95% confidence interval: 70.0-95.5). Codes performed better at identifying hypoglycemic events among emergency department/observation encounters compared with hospitalizations (PPV 92.9%, sensitivity 100.0% vs. PPV 53.7%, sensitivity 71.0%). Accuracy varied by diagnosis position, especially for hospitalizations, with PPV of 95.6% versus 46.5% with hypoglycemia in primary versus secondary positions. Use of adverse event/poisoning codes did not improve accuracy; reliance on these codes alone would have missed 97% of true hypoglycemic events. CONCLUSIONS: Accuracy of International Classification of Diseases, Tenth Revision codes in administrative claims to identify medication-related hypoglycemia varied substantially by encounter type and diagnosis position. Consideration should be given to the trade-off between PPV and sensitivity when selecting codes, encounter types, and diagnosis positions to identify hypoglycemia.

Excess Death Estimates in Patients with End-Stage Renal Disease - United States, February-August 2020.

End-stage renal disease (ESRD) is a condition in which kidney function has permanently declined such that renal replacement therapy* is required to sustain life (1). The mortality rate for patients with ESRD in the United States has been declining since 2001 (2). However, during the COVID-19 pandemic, ESRD patients are at high risk for COVID-19-associated morbidity and mortality, which is due, in part, to weakened immune systems and presence of multiple comorbidities (3-5). The ESRD National Coordinating Center (ESRD NCC) supports the Centers for Medicare & Medicaid Services (CMS) and the ESRD Networks†,§ through analysis of data, dissemination of best practices, and creation of educational materials. ESRD NCC analyzed deaths reported to the Consolidated Renal Operations in a Web-Enabled Network (CROWNWeb), a system that facilitates the collection of data and maintenance of information about ESRD patients on chronic dialysis or receiving a kidney transplant who are treated in Medicare-certified dialysis facilities and kidney transplant centers in the United States. Excess death estimates were obtained by comparing observed and predicted monthly numbers of deaths during February 1-August 31, 2020; predicted deaths were modeled based on data from January 1, 2016, through December 31, 2019. The analysis estimated 8.7-12.9 excess deaths per 1,000 ESRD patients, or a total of 6,953-10,316 excess deaths in a population of 798,611 ESRD patients during February 1-August 31, 2020. These findings suggest that deaths among ESRD patients during the early phase of the pandemic exceeded those that would have been expected based on previous years' data. Geographic and temporal patterns of excess mortality, including those among persons with ESRD, should be considered during planning and implementation of interventions, such as COVID-19 vaccination, infection control guidance, and patient education. These findings underscore the importance of data-driven technical assistance and further analyses of the causes and patterns of excess deaths in ESRD patients.

Assessment of ICD-10-CM code assignment validity for case finding of outpatient anticoagulant-related bleeding among Medicare beneficiaries.

PURPOSE: To assess performance of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) code assignments for identifying bleeding events resulting in emergency department visits and hospitalizations among outpatient Medicare beneficiaries prescribed anticoagulants. METHODS: Performance of 206 ICD-10-CM code assignments indicative of bleeding, five anticoagulant adverse effect/poisoning codes, and five coagulopathy codes (according to Medicare Parts A and B claims) as assessed among Medicare fee-for-service beneficiaries prescribed anticoagulants between October 1, 2015 and September 30, 2016 (according to Part D claims). Structured medical record review was the gold standard for validating the presence of anticoagulant-related bleeding. Sensitivity was adjusted to correct for partial verification bias due to sampling design. RESULTS: Based on the study sample of 1166 records (583 cases, 583 controls), 57 of 206 codes yielded the optimal performance for anticoagulant-related bleeding (diagnostic odds ratio, 51; positive predictive value (PPV), 75.7% [95% CI, 72.0%-79.1%]; adjusted sensitivity, 70.0% [95% CI, 63.2%-77.7%]). Codes for intracranial bleeding demonstrated the highest PPV (85.0%) and adjusted sensitivity (91.0%). Bleeding codes in the primary position demonstrated high PPV (86.9%), but low adjusted sensitivity (36.0%). The adjusted sensitivity improved to 69.5% when codes in a secondary position were added. Only one adverse effect/poisoning code was used, appearing in 7.8% of cases and controls (PPV, 71.4% and adjusted sensitivity, 6.8%). CONCLUSIONS: Performance of ICD-10-CM code assignments for bleeding among patients prescribed anticoagulants varied by bleed type and code position. Adverse effect/poisoning codes were not commonly used and would have missed over 90% of anticoagulant-related bleeding cases.

Rural and Urban Differences in Sexual Behaviors Among Adolescents in Florida.

The national teen birth rate is higher in rural compared to urban areas. While national data suggest rural areas may present higher risk for adverse sexual health outcomes among adolescents, it is unknown whether there are differences within the state of Florida. Overall, Florida has poorer sexual health indicators for adolescents compared to national rates. The purpose of this study was to assess differences in sexual behaviors among Florida adolescents by rural-urban community location. This study includes baseline data from a randomized controlled trial conducted in Florida high schools. Of the 6316 participants, 74% were urban and 26% were rural. Participants responded to questions on sexual behaviors, sexual behavior intentions, and demographics. We estimated the effect of rural-urban status on risk outcomes after controlling for demographic variables using generalized linear mixed models. More teens from rural areas reported ever having sex (24.0%) compared to urban teens (19.7%). No significant differences were observed for most of sexual behaviors assessed. Nonetheless, urban participants were less likely to intend to have sex without a condom in the next year compared to rural participants (aOR = 0.76, 95% CI 0.63-0.92). Overall, there were no major differences in sexual behaviors between rural and urban adolescents in Florida. However, sexual intentions differed between rural and urban adolescents; specifically, rural adolescents were more likely to intend to have sex without a condom in the next year compared to urban adolescents. Understanding the specific disparities can inform contraception and sexual health interventions among rural youth.

Abortion Facility Closings and Abortion Rates in Texas.

From 2004 to 2014, the overall abortion rate in Texas fell by almost a third from 10.7 to 7.2 abortions per 1000 women aged 10 to 49 years. During this same period, the number of abortion clinics operating at least 6 months in the year fell from 40 to 27. We examined the relationship between the abortion rate and the proximity of abortion facilities. We matched annual, county-level data on abortion rates in Texas from 2004 through 2014 with the distance from the county centroids to the nearest abortion facility in operation. Linear regressions were used to estimate the association between abortion rates and proximity to abortion facilities. The regressions controlled for county-level and state-level characteristics as well as the availability of abortion services in neighboring US states and Mexico. We found that a 100-mile increase in distance to the nearest abortion facility was associated with a 10% decrease in the overall abortion rate. The relationship appeared to be driven largely by distances of 200 miles or more. The overall relationship was generally present for whites and blacks, whereas the pattern was less clear for Hispanics. The analysis indicated that the overall association was driven largely by women aged 20 to 34 years. Decreased access to abortion facilities was associated with decreases in the abortion rate, yet the relationship varied by race/ethnicity and age. As such, regulations that affect the operational status of abortion facilities likely have differential effects on women.

The Impact of the Teen Outreach Program on Sexual Intentions and Behaviors.

PURPOSE: We evaluated the impact of a positive youth development program on adolescent pregnancy, sexual behavior, risky sex, and intentions in nonmetropolitan Florida high schools. METHODS: Between 2012 and 2014, the Teen Outreach Program (TOP) was compared to standard school curriculum content using a cluster randomized controlled trial design with 7,976 youth in two cohorts. The majority of youth were 14 years old and in the ninth grade at baseline. Treatment group youth received TOP in health-related classes. After using multiple imputation to account for missing data, we analyzed baseline and follow-up survey data using generalized linear mixed-effects models with logit link function. RESULTS: In the cohort 1 sample, compared to the control condition, males and females receiving TOP showed lower odds of engaging in recent sex (odds ratio [OR], .71; 95% confidence interval [CI]: .58-.86) compared to control males and females. Cohort 1 treatment females who did engage in recent sex were less likely to have risky sex (OR, .54; 95% CI: .32-.89). There were fewer significant findings in cohort 2, though TOP females and combined gender had lower odds of risky sex intentions (OR, .53; 95% CI: .33-.84 and OR, .65; 95% CI: .44-.96, respectively). Overall, cohort 1 females in the TOP condition were the group most likely to benefit from TOP. CONCLUSIONS: Consistent with previous research, TOP was more effective regarding sexual health outcomes among female versus male youth; this was especially true for the outcome of risky sex. However, results were not consistent across cohorts, prompting questions for future research.

Behavioral syndromes: an intergrative overiew.

A behavioral syndrome is a suite of correlated behaviors expressed either within a given behavioral context (e.g., correlations between foraging behaviors in different habitats) or across different contexts (e.g., correlations among feeding, antipredator, mating, aggressive, and dispersal behaviors). For example, some individuals (and genotypes) might be generally more aggressive, more active or bold, while others are generally less aggressive, active or bold. This phenomenon has been studied in detail in humans, some primates, laboratory rodents, and some domesticated animals, but has rarely been studied in other organisms, and rarely examined from an evolutionary or ecological perspective. Here, we present an integrative overview on the potential importance of behavioral syndromes in evolution and ecology. A central idea is that behavioral correlations generate tradeoffs; for example, an aggressive genotype might do well in situations where high aggression is favored, but might be inappropriately aggressive in situations where low aggression is favored (and vice versa for a low aggression genotype). Behavioral syndromes can thereby result in maladaptive behavior in some contexts, and potentially maintain individual variation in behavior in a variable environment. We suggest terminology and methods for studying behavioral syndromes, review examples, discuss evolutionary and proximate approaches for understanding behavioral syndromes, note insights from human personality research, and outline some potentially important ecological implications. Overall, we suggest that behavioral syndromes could play a useful role as an integrative bridge between genetics, experience, neuroendocrine mechanisms, evolution, and ecology.

An hypothesis-driven, molecular phylogenetics exercise for college biology students.

This hypothesis-driven laboratory exercise teaches how DNA evidence can be used to investigate an organism's evolutionary history while providing practical modeling of the fundamental processes of gene transcription and translation. We used an inquiry-based approach to construct a laboratory around a nontrivial, open-ended evolutionary question about the relationship of five species of Drosophila. In the course of answering this question, students at the early college biology level learn how the information in DNA can be extracted and used by both the cell and scientists. This dual proximate-ultimate approach introduces students to the techniques of PCR, DNA sequencing, and phylogenetic sequence analysis while simultaneously providing a concrete pen-and-paper model of the cellular processes of transcription and translation. The laboratory has been successfully employed over 3 years with first-year college students and has proven its versatility by being easily adapted to a "dry lab" form with advanced high school students.

Development of size structure in tiger salamanders: the role of intraspecific interference.

Cannibalism affects patterns of density-dependent mortality and may regulate population size. In many cases, rates of cannibalism depend on size structure, the frequency distribution of body sizes in the population, because cannibals can often only capture and consume smaller individuals. Size differences within single-age groups can be caused by a variety of factors. In this research we tested the hypothesis that size variation among larval tiger salamanders is due, in part, to interference interactions among individuals of different sizes. We found that size variation was greater when we raised larvae in groups rather than in isolation. This increase in size variation was due more to a relative deceleration of growth among smaller individuals rather than acceleration among larger individuals. We also found that smaller larvae had lower feeding rates than larger larvae when in groups, but not when isolated. Including spatial structure to limit physical interactions did not affect the size specificity of feeding rate, although it reduced feeding rates overall. We argue that these results are consistent with the hypothesis that larger larvae interfere, probably indirectly, with the feeding behavior of small individuals and this contributes to increases in size variation over time. We hypothesize that this indirect interference is caused by a behavioral response of smaller larvae to the risk of predation (cannibalism) by larger individuals.