NICU infants who require a feeding gastrostomy for discharge.

OBJECTIVE: To determine population data for infants receiving a gastrostomy tube (GT) in our Neonatal Intensive Care Unit (NICU) to better understand the premature infant population at risk for GT prior to discharge. STUDY DESIGN: We identified all NICU infants born 2015-2016 who received a GT and determined the birth gestational age below which GTs were placed due to oral feeding failure secondary to prematurity-related comorbidities, rather than anomalies or other reasons. Aggregate data were used to compare infants born <30 weeks (w) gestation who received a GT with those who did not. RESULTS: GTs were placed in 117 infants. More than half of the NICU patients who receive GTs were actually >32 weeks gestation; a cut-off of <30w was a good identifier for those who failed achieving full oral feeds due to prematurity-related problems. Infants born <30w (n = 282) not receiving GTs were discharged at a significantly lower postmenstrual age (36w) and lower weight (2.3 kg) compared with infants who received a GT (49w, 5 kg). CONCLUSIONS: The population of premature infants born <30w gestation constitute the population of infants at risk for a GT based solely on prematurity. LEVELS OF EVIDENCE: III.

Relationship Gender Equality and Couples' Uptake of Oral Human Immunodeficiency Virus Self-Testing Kits Delivered by Pregnant Women in Kenya.

BACKGROUND: Higher gender equality is associated with many human immunodeficiency virus (HIV) preventive behaviors, including HIV testing. HIV self-testing is a relatively new testing technology that could assist with HIV prevention. However, there are no studies examining gender equality and HIV self-testing. We examined the associations between gender equality and couples' uptake of HIV self-testing among heterosexual couples expecting a child in central Kenya. METHODS: This analysis used data from a HIV self-testing randomized intervention trial among pregnant women attending antenatal care and their male partners. The primary exposures were gender equality (measured by the male partner's attitudes toward intimate partner violence, and the woman's report on her household decision making power), and the primary outcome was couples' uptake of HIV self-testing. Generalized linear mixed models framework was used to account for site-level clustering. RESULTS: In comparison to male partners reporting high acceptance of intimate partner violence, couples with male partners reporting medium acceptance (odds ratio, 2.36; 95% confidence interval, 0.99-5.63) or low acceptance (odds ratio, 2.50; 95% confidence interval, 1.20-5.21) were significantly more likely to use HIV self-testing. Gender equality measured by decision making power was not associated with couples' uptake of HIV self-testing. CONCLUSIONS: This study is the first of its kind to examine the association between gender equality and couples' HIV self-testing. This holds important implications for HIV self-testing as we strive to achieve the United Nations Programme on HIV/acquired immune deficiency syndrome goal that 90% of individuals living with HIV should know their status.

Approaches for dealing with various sources of overdispersion in modeling count data: Scale adjustment versus modeling.

Overdispersion is a common problem in count data. It can occur due to extra population-heterogeneity, omission of key predictors, and outliers. Unless properly handled, this can lead to invalid inference. Our goal is to assess the differential performance of methods for dealing with overdispersion from several sources. We considered six different approaches: unadjusted Poisson regression (Poisson), deviance-scale-adjusted Poisson regression (DS-Poisson), Pearson-scale-adjusted Poisson regression (PS-Poisson), negative-binomial regression (NB), and two generalized linear mixed models (GLMM) with random intercept, log-link and Poisson (Poisson-GLMM) and negative-binomial (NB-GLMM) distributions. To rank order the preference of the models, we used Akaike's information criteria/Bayesian information criteria values, standard error, and 95% confidence-interval coverage of the parameter values. To compare these methods, we used simulated count data with overdispersion of different magnitude from three different sources. Mean of the count response was associated with three predictors. Data from two real-case studies are also analyzed. The simulation results showed that NB and NB-GLMM were preferred for dealing with overdispersion resulting from any of the sources we considered. Poisson and DS-Poisson often produced smaller standard-error estimates than expected, while PS-Poisson conversely produced larger standard-error estimates. Thus, it is good practice to compare several model options to determine the best method of modeling count data.

Mortality following status epilepticus in persons with and without epilepsy.

PURPOSE: Incidence of status epilepticus (SE) ranges from 6.8 to 41.0 per 100,000 population. Although SE is associated with significant morbidity and mortality, the temporal relationship between SE, epilepsy, and mortality is less clear. The risk of all-cause mortality following SE with and without prior epilepsy was investigated. METHOD: This study identified hospitalizations and emergency department visits for persons with SE and persons with epilepsy between 2000 and 2013. Excluded were those with epilepsy subsequent to SE, epilepsia partialis continua, less than 90days follow-up, and less than 2 years of data prior to first diagnosis. The cohort was grouped into: 1) SE only, 2) post-epilepsy SE (PES), and 3) epilepsy only. The risk of mortality was estimated using Cox proportional hazard models adjusting for potential confounders. RESULTS: The cohort (N=82,331) consisted of 1296 SE only cases (1.6%); 2136 PES cases (2.6%); and 78,899 epilepsy only controls (95.8%) with 24.9%, 29.2% and 20.0% mortality, respectively. Compared with controls, the hazard of mortality was increased for those with SE only (hazard ratio [HR]=1.61, 95% CI=1.41-1.82) and PES (HR=1.16, 95% CI=1.07-1.25) after adjustment for demographic and clinical factors. Prior stroke, central nervous system infection, and brain tumor increased the mortality hazard. CONCLUSION: There is a statistically significant increased risk of all-cause mortality with SE. The risk is stronger in those with no prior epilepsy. Specific etiologies increase mortality risk in those with SE warranting further investigation of the complex associations between these etiologies and SE.

Risk of venous thromboembolism in people with epilepsy.

OBJECTIVE: Risk of venous thromboembolism (VTE) among people with epilepsy (PWEs) has not been previously reported. Standard VTE prevention methods may increase the risk of complications in this population. This statewide study assessed the risk of VTE in PWEs. METHODS: Main risk categories were grouped into definite epilepsy (DE), probable epilepsy (PE), and migraine, a comparable neurologic condition. All inpatient, emergency department, and hospital-based outpatient encounters in South Carolina from January 1, 2000 through December 31, 2011, were evaluated for the primary outcome variable of VTE, defined as having a diagnosis of VTE at or after the diagnosis of epilepsy or migraine. Coagulopathies and common comorbidities of epilepsy were enumerated. Differences in VTE proportions were assessed using 95% confidence intervals (CIs). Association of VTE with epilepsy and migraine was evaluated with Cox proportional hazard modeling. RESULTS: A total of 138,497 people with migraine (PWMs) and 67,900 PWEs (32,186 DE, 35,714 PE) were included. VTE occurred in 2.7% of PWEs (4.2% among DE), and 0.6% of PWMs. The hazard ratio for VTE in DE compared with PWMs was 3.08 (95% CI 2.76-3.42), adjusted for all covariables. Higher numbers of comorbidities were strongly associated with VTE. PWE had higher numbers of comorbidities (52% with 2+ comorbidities versus 23% of PWM), but the impact of comorbidities on VTE risk was larger in PWM. SIGNIFICANCE: Higher VTE risk in PWE than PWM suggests risk factors associated with epilepsy, independent of chronic neurologic illness. VTE occurrence in PWE is comparable to published rates among people with cancer.

Accelerated death rate in population-based cohort of persons with traumatic brain injury.

OBJECTIVES: To determine the influence of preexisting heart, liver, kidney, cancer, stroke, and mental health problems and examine the influence of low socioeconomic status on mortality after discharge from acute care facilities for individuals with traumatic brain injury. PARTICIPANTS: Population-based retrospective cohort study of 33695 persons discharged from acute care hospital with traumatic brain injury in South Carolina, 1999-2010. MAIN MEASURES: Days elapsing from the dates of injury to death established the survival time (T). Data were censored at the 145th month. Multivariable Cox regression was used to examine the independent effect of the variables on death. Age-adjusted cumulative probability of death for each chronic disease of interest was plotted. RESULTS: By the 70th month of follow-up, rate of death was accelerated from 10-fold for heart diseases to 2.5-fold for mental health problems. Adjusted hazard ratios for diseases of the heart (2.13), liver-renal (3.25), cancer (2.64), neurological diseases and stroke (2.07), diabetes (1.89), hypertension (1.43), and mental health problems (1.59) were highly significant (each with P < .001). Compared with persons with private insurance, the hazard ratio was significantly elevated with Medicaid (1.67), Medicare (1.54), and uninsured (1.27) (each with P < .001). CONCLUSION: Specific chronic diseases strongly influenced postdischarge mortality after traumatic brain injury. Low socioeconomic status as measured by the type of insurance elevated the risk of death.

Prevalence of self-reported epilepsy, health care access, and health behaviors among adults in South Carolina.

Behavioral Risk Factor Surveillance System data from South Carolina for 2003-2005 were used to determine epilepsy prevalence and prevalence variation by demographic subgroups, and to compare health insurance coverage, health care visits, and health-related behaviors among persons with epilepsy and the general population. Two percent of respondents reported they had ever been told by a doctor that they had epilepsy, and 1% reported active epilepsy. Almost half of those with active epilepsy reported a seizure in the prior 3 months. More than one-third of respondents with active epilepsy reported that there was a time in the past 12 months when they needed to see a doctor but could not because of cost. Persons with epilepsy were more likely to smoke and have less physical activity. Persons with epilepsy need better access to health care, as well as interventions focused on smoking cessation and increased physical activity.

Experiences of persons with epilepsy and their families as they look for medical and community care: a focus group study from South Carolina.

Epilepsy affects a larger number of individuals than previously thought-up to 2% of the population-and its effects reach further. Yet epilepsy, with its associated lingering stigma and fear, has remained in the background in terms of services and research. Traditional quantitative research often falls short when trying to describe the impact of epilepsy on the lives of individuals and their families. In the present study, focus groups were held throughout South Carolina to discuss individuals' experiences with accessing epilepsy-related services and health care, and what life with epilepsy is like. Following qualitative data analysis, findings included two themes. One theme focuses on the ongoing search for services and help. The second theme concerns the experiences of living life with epilepsy. Also highlighted are recommendations for potential improvements in public awareness and professional training, and helpful interventions.