Payal Modi

Using nonrapid HIV technology for routine, opt-out HIV screening in a high-volume urban emergency department.

OBJECTIVE We implement an opt-out routine screening program in a high-volume, urban emergency department (ED), using conventional (nonrapid) technology as an alternative to rapid HIV tests. METHODS We performed a retrospective cohort study. Since October 2008, all patients who visited Ben Taub General Hospital ED and had blood drawn were considered eligible for routine opt-out HIV screening. The hospital is a large, publicly funded, urban, academic hospital in Houston, TX. The ED treats approximately 8,000 patients monthly. Screening was performed with standard chemiluminescence technology, batched hourly. Patients with positive screening test results were informed of their likely status, counseled by a service linkage worker, and offered follow-up care at an HIV primary care clinic. Confirmatory Western blot assays were automatically performed on all new HIV-positive samples. RESULTS Between October 1, 2008, and April 30, 2009, 14,093 HIV tests were performed and 39 patients (0.3%) opted out. Two hundred sixty-two (1.9%) HIV test results were positive and 80 new diagnoses were made, for an incidence of new diagnoses of 0.6%. There were 22 false-positive chemiluminescence results and 7 indeterminate Western blot results. Nearly half the patients who received a new diagnosis were not successfully linked to HIV care in our system. CONCLUSION Opt-out screening using standard nonrapid technology, rather than rapid testing, is feasible in a busy urban ED. This method of HIV screening has cost benefits and a low false-positivity rate, but aggressive follow-up and referral of patients with new diagnoses for linkage to care is required.

Midupper Arm Circumference Outperforms Weight-Based Measures of Nutritional Status in Children with Diarrhea

BACKGROUND Undernutrition contributes to 45% of all deaths in children <5 y of age worldwide, with a large proportion of those deaths caused by diarrhea. However, no validated tools exist for assessing undernutrition in children with diarrhea and possible dehydration. OBJECTIVE This study assessed the validity of different measures of undernutrition in children with diarrhea. METHODS A prospective cohort study was conducted at an urban hospital in Bangladesh. Children <60 mo of age presenting to the hospital rehydration unit with acute diarrhea were eligible for enrollment. Study staff randomly selected 1196 children for screening, of which 1025 were eligible, 850 were enrolled, and 721 had complete data for analysis. Anthropometric measurements, including weight-for-age z score (WAZ), weight-for-length z score (WLZ), midupper arm circumference (MUAC), and midupper arm circumference z score (MUACZ), were calculated pre- and posthydration in all patients. Measurements were evaluated for their ability to correctly identify undernutrition in children with varying degrees of dehydration. RESULTS Of the 721 patients with full data for analysis, the median percent dehydration was 4%. Of the 4 measures evaluated, MUAC and MUACZ demonstrated 92-94% agreement pre- and posthydration compared with 69-76% for WAZ and WLZ. Although each 1% change in hydration status was found to change weight-for-age by 0.0895 z scores and weight-for-length by 0.1304 z scores, MUAC and MUACZ were not significantly affected by dehydration status. Weight-based measures misclassified 12% of children with severe underweight and 14% with severe acute malnutrition (SAM) compared with only 1-2% for MUAC and MUACZ. CONCLUSIONS MUAC and MUACZ were the most accurate predictors of undernutrition in children with diarrhea. WAZ and WLZ were significantly affected by dehydration status, leading to the misdiagnosis of many patients on arrival with severe underweight and SAM. This trial was registered at clinicaltrials.gov as NCT02007733.

Accuracy of Inferior Vena Cava Ultrasound for Predicting Dehydration in Children with Acute Diarrhea in Resource-Limited Settings

Introduction Although dehydration from diarrhea is a leading cause of morbidity and mortality in children under five, existing methods of assessing dehydration status in children have limited accuracy. Objective To assess the accuracy of point-of-care ultrasound measurement of the aorta-to-IVC ratio as a predictor of dehydration in children. Methods A prospective cohort study of children under five years with acute diarrhea was conducted in the rehydration unit of the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b). Ultrasound measurements of aorta-to-IVC ratio and dehydrated weight were obtained on patient arrival. Percent weight change was monitored during rehydration to classify children as having “some dehydration” with weight change 3–9% or “severe dehydration” with weight change > 9%. Logistic regression analysis and Receiver-Operator Characteristic (ROC) curves were used to evaluate the accuracy of aorta-to-IVC ratio as a predictor of dehydration severity. Results 850 children were enrolled, of which 771 were included in the final analysis. Aorta to IVC ratio was a significant predictor of the percent dehydration in children with acute diarrhea, with each 1-point increase in the aorta to IVC ratio predicting a 1.1% increase in the percent dehydration of the child. However, the area under the ROC curve (0.60), sensitivity (67%), and specificity (49%), for predicting severe dehydration were all poor. Conclusions Point-of-care ultrasound of the aorta-to-IVC ratio was statistically associated with volume status, but was not accurate enough to be used as an independent screening tool for dehydration in children under five years presenting with acute diarrhea in a resource-limited setting.

Oxygen Saturation Can Predict Pediatric Pneumonia in a Resource-Limited Setting

BACKGROUND The World Health Organization (WHO) recommends using age-specific respiratory rates for diagnosing pneumonia in children. Past studies have evaluated the WHO criteria with mixed results. OBJECTIVE We examined the accuracy of clinical and laboratory factors for diagnosing pediatric pneumonia in resource-limited settings. METHODS We conducted a retrospective chart review of children under 5 years of age presenting with respiratory complaints to three rural hospitals in Rwanda who had received a chest radiograph. Data were collected on the presence or absence of 31 historical, clinical, and laboratory signs. Chest radiographs were interpreted by pediatric radiologists as the gold standard for diagnosing pneumonia. Overall correlation and test characteristics were calculated for each categorical variable as compared to the gold standard. For continuous variables, we created receiver operating characteristic (ROC) curves to determine their accuracy for predicting pneumonia. RESULTS Between May 2011 and April 2012, data were collected from 147 charts of children with respiratory complaints. Approximately 58% of our sample had radiologist-diagnosed pneumonia. Of the categorical variables, a negative blood smear for malaria (χ(2) = 6.21, p = 0.013) and the absence of history of asthma (χ(2) = 4.48, p = 0.034) were statistically associated with pneumonia. Of the continuous variables, only oxygen saturation had a statistically significant area under the ROC curve (AUC) of 0.675 (95% confidence interval [CI] 0.581-0.769 and p = 0.001). Respiratory rate had an AUC of 0.528 (95% CI 0.428-0.627 and p = 0.588). CONCLUSION Oxygen saturation was the best clinical predictor for pediatric pneumonia and should be further studied in a prospective sample of children with respiratory symptoms in a resource-limited setting.

Empirically Derived Dehydration Scoring and Decision Tree Models for Children With Diarrhea: Assessment and Internal Validation in a Prospective Cohort Study in Dhaka, Bangladesh

The DHAKA Dehydration Score and the DHAKA Dehydration Tree are the first empirically derived and internally validated diagnostic models for assessing dehydration in children with acute diarrhea for use by general practice nurses in a resource-limited setting. Frontline providers can use these new tools to better classify and manage dehydration in children. The DHAKA Dehydration Score and the DHAKA Dehydration Tree are the first empirically derived and internally validated diagnostic models for assessing dehydration in children with acute diarrhea for use by general practice nurses in a resource-limited setting. Frontline providers can use these new tools to better classify and manage dehydration in children. Introduction: Diarrhea remains one of the most common and most deadly conditions affecting children worldwide. Accurately assessing dehydration status is critical to determining treatment course, yet no clinical diagnostic models for dehydration have been empirically derived and validated for use in resource-limited settings. Methods: In the Dehydration: Assessing Kids Accurately (DHAKA) prospective cohort study, a random sample of children under 5 with acute diarrhea was enrolled between February and June 2014 in Bangladesh. Local nurses assessed children for clinical signs of dehydration on arrival, and then serial weights were obtained as subjects were rehydrated. For each child, the percent weight change with rehydration was used to classify subjects with severe dehydration (>9% weight change), some dehydration (3–9%), or no dehydration (<3%). Clinical variables were then entered into logistic regression and recursive partitioning models to develop the DHAKA Dehydration Score and DHAKA Dehydration Tree, respectively. Models were assessed for their accuracy using the area under their receiver operating characteristic curve (AUC) and for their reliability through repeat clinical exams. Bootstrapping was used to internally validate the models. Results: A total of 850 children were enrolled, with 771 included in the final analysis. Of the 771 children included in the analysis, 11% were classified with severe dehydration, 45% with some dehydration, and 44% with no dehydration. Both the DHAKA Dehydration Score and DHAKA Dehydration Tree had significant AUCs of 0.79 (95% CI = 0.74, 0.84) and 0.76 (95% CI = 0.71, 0.80), respectively, for the diagnosis of severe dehydration. Additionally, the DHAKA Dehydration Score and DHAKA Dehydration Tree had significant positive likelihood ratios of 2.0 (95% CI = 1.8, 2.3) and 2.5 (95% CI = 2.1, 2.8), respectively, and significant negative likelihood ratios of 0.23 (95% CI = 0.13, 0.40) and 0.28 (95% CI = 0.18, 0.44), respectively, for the diagnosis of severe dehydration. Both models demonstrated 90% agreement between independent raters and good reproducibility using bootstrapping. Conclusion: This study is the first to empirically derive and internally validate accurate and reliable clinical diagnostic models for dehydration in a resource-limited setting. After external validation, frontline providers may use these new tools to better manage acute diarrhea in children.

Emergency Care Research Funding in the Global Health Context: Trends, Priorities, and Future Directions

Over the past few decades there has been a steady growth in funding for global health, yet generally little is known about funding for global health research. As part of the 2013 Academic Emergency Medicine consensus conference, a session was convened to discuss emergency care research funding in the global health context. Overall, the authors found a lack of evidence available to determine funding priorities or quantify current funding for acute care research in global health. This article summarizes the initial preparatory research and reports on the results of the consensus conference focused on identifying challenges and strategies to improve funding for global emergency care research. The consensus conference meeting led to the creation of near- and long-term goals to strengthen global emergency care research funding and the development of important research questions. The research questions represent a consensus view of important outstanding questions that will assist emergency care researchers to better understand the current funding landscape and bring evidence to the debate on funding priorities of global health and emergency care. The four key areas of focus for researchers are: 1) quantifying funding for global health and emergency care research, 2) understanding current research funding priorities, 3) identifying barriers to emergency care research funding, and 4) using existing data to quantify the need for emergency services and acute care research. This research agenda will enable emergency health care scientists to use evidence when advocating for more funding for emergency care research.

Training the trainers in emergency medicine: an advanced trauma training course in Rwanda’s medical simulation center

Medical simulation is an integral tool for training medical students and physicians in all specialties, including emergency medicine. We describe a model program for advanced trauma training utilizing the medical simulation and skills center in Rwanda, one of the first in Africa for training health care professionals.