Josef G. Thundiyil

Clearing the Air: A Review of the Effects of Particulate Matter Air Pollution on Human Health

The World Health Organization estimates that particulate matter (PM) air pollution contributes to approximately 800,000 premature deaths each year, ranking it the 13th leading cause of mortality worldwide. However, many studies show that the relationship is deeper and far more complicated than originally thought. PM is a portion of air pollution that is made up of extremely small particles and liquid droplets containing acids, organic chemicals, metals, and soil or dust particles. PM is categorized by size and continues to be the fraction of air pollution that is most reliably associated with human disease. PM is thought to contribute to cardiovascular and cerebrovascular disease by the mechanisms of systemic inflammation, direct and indirect coagulation activation, and direct translocation into systemic circulation. The data demonstrating PMs effect on the cardiovascular system are strong. Populations subjected to long-term exposure to PM have a significantly higher cardiovascular incident and mortality rate. Short-term acute exposures subtly increase the rate of cardiovascular events within days of a pollution spike. The data are not as strong for PMs effects on cerebrovascular disease, though some data and similar mechanisms suggest a lesser result with smaller amplitude. Respiratory diseases are also exacerbated by exposure to PM. PM causes respiratory morbidity and mortality by creating oxidative stress and inflammation that leads to pulmonary anatomic and physiologic remodeling. The literature shows PM causes worsening respiratory symptoms, more frequent medication use, decreased lung function, recurrent health care utilization, and increased mortality. PM exposure has been shown to have a small but significant adverse effect on cardiovascular, respiratory, and to a lesser extent, cerebrovascular disease. These consistent results are shown by multiple studies with varying populations, protocols, and regions. The data demonstrate a dose-dependent relationship between PM and human disease, and that removal from a PM-rich environment decreases the prevalence of these diseases. While further study is needed to elucidate the effects of composition, chemistry, and the PM effect on susceptible populations, the preponderance of data shows that PM exposure causes a small but significant increase in human morbidity and mortality. Most sources agree on certain “common sense” recommendations, although there are lonely limited data to support them. Indoor PM exposure can be reduced by the usage of air conditioning and particulate filters, decreasing indoor combustion for heating and cooking, and smoking cessation. Susceptible populations, such as the elderly or asthmatics, may benefit from limiting their outdoor activity during peak traffic periods or poor air quality days. These simple changes may benefit individual patients in both short-term symptomatic control and long-term cardiovascular and respiratory complications.

Acute pesticide poisoning: a proposed classification tool

Cases of acute pesticide poisoning (APP) account for significant morbidity and mortality worldwide. Developing countries are particularly susceptible due to poorer regulation, lack of surveillance systems, less enforcement, lack of training and inadequate access to information systems. Previous research has demonstrated wide variability in incidence rates for APP. This is possibly due to inconsistent reporting methodology and exclusion of occupational and non-intentional poisonings. The purpose of this document is to create a standard case definition to facilitate the identification and diagnosis of all causes of APP, especially at the field level, rural clinics and primary health-care systems. This document is a synthesis of existing literature and case definitions that have been previously proposed by other authors around the world. It provides a standardized case definition and classification scheme for APP into categories of probable, possible and unlikely/unknown cases. Its use is intended to be applicable worldwide to contribute to identification of the scope of existing problems and thus promote action for improved management and prevention. By enabling a field diagnosis for APP, this standardized case definition may facilitate immediate medical management of pesticide poisoning and aid in estimating its incidence.

Opioid Prescribing in a Cross Section of US Emergency Departments

STUDY OBJECTIVEnOpioid pain reliever prescribing at emergency department (ED) discharge has increased in the past decade but specific prescription details are lacking. Previous ED opioid pain reliever prescribing estimates relied on national survey extrapolation or prescription databases. The main goal of this study is to use a research consortium to analyze the characteristics of patients and opioid prescriptions, using a national sample of ED patients. We also aim to examine the indications for opioid pain reliever prescribing, characteristics of opioids prescribed both in the ED and at discharge, and characteristics of patients who received opioid pain relievers compared with those who did not.nnnMETHODSnThis observational, multicenter, retrospective, cohort study assessed opioid pain reliever prescribing to consecutive patients presenting to the consortium EDs during 1 week in October 2012. The consortium study sites consisted of 19 EDs representing 1.4 million annual visits, varied geographically, and were predominantly academic centers. Medical records of all patients aged 18 to 90 years and discharged with an opioid pain reliever (excluding tramadol) were individually abstracted by standardized chart review by investigators for detailed analysis. Descriptive statistics were generated.nnnRESULTSnDuring the study week, 27,516 patient visits were evaluated in the consortium EDs; 19,321 patients (70.2%) were discharged and 3,284 (11.9% of all patients and 17.0% of discharged patients) received an opioid pain reliever prescription. For patients prescribed an opioid pain reliever, mean age was 41 years (SD 14 years) and 1,694 (51.6%) were women. Mean initial pain score was 7.7 (SD 2.4). The most common diagnoses associated with opioid pain reliever prescribing were back pain (10.2%), abdominal pain (10.1%), and extremity fracture (7.1%) or sprain (6.5%). The most common opioid pain relievers prescribed were oxycodone (52.3%), hydrocodone (40.9%), and codeine (4.8%). Greater than 99% of pain relievers were immediate release and 90.0% were combination preparations, and the mean and median number of pills was 16.6 (SD 7.6) and 15 (interquartile range 12 to 20), respectively.nnnCONCLUSIONnIn a study of ED patients treated during a single week across the country, 17% of discharged patients were prescribed opioid pain relievers. The majority of the prescriptions had small pill counts and almost exclusively immediate-release formulations.

Comparison of Broselow tape measurements versus physician estimations of pediatric weights

OBJECTIVEnWe sought to determine the agreement of physician estimates compared with Broselow tape measurements in accurately determining childrens weights. Our secondary objective was to evaluate whether physician adjustment of the Broselow tape weight measurement is a better estimate of pediatric weight compared with either method alone.nnnMETHODSnThis cross-sectional study was conducted in the emergency department (ED) of a tertiary childrens hospital. Children between the ages of 0 and 14 years consecutively registered in the pediatric ED were eligible for enrollment. Height, weight, body mass index, and Broselow tape measurement were obtained for all subjects. Blinded ED physicians provided estimates for weight and body habitus for enrolled subjects. Physicians next were given the Broselow weight measurement and then submitted a second, amended estimate (hybrid). Percentage differences were used to analyze the discrepancy between estimates and actual weight. Specifically examined were the proportion of estimates that fell within 10% of the patients actual body weights.nnnRESULTSnA total of 372 subjects met the inclusion criteria. Mean age was 45.7 months, mean body mass index was 17.4, mean weight was 16.8 kg, and 39 participants (18.1%) met the definition for obese. Broselow estimates were within 10% of actual weight 63% of the time, physician estimates were within 10% of the actual weight 43% of the time and hybrid estimates 55% of the time. Based on average mean percent error, compared with actual weight, Broselow differed by 10.8% (95% confidence interval [CI], 9.7-12), hybrid estimate by 11.3% (95% CI, 10.3-12.2), and physician estimate by 16.2% (95% CI, 14.7-17.7). The Broselow tape was significantly worse than physician estimate for obese patients: 26.4% (95% CI, 19.7-33.1) versus 16.0% (95% CI, 12.3-19.8).nnnCONCLUSIONnThe Broselow tape generally has greater agreement with actual weight than physician visual estimation, except for obese children. Physician adjustment of the Broselow measurement also proved to be comparable to the Broselow tape.

Do United States Medical Licensing Examination (USMLE) scores predict in-training test performance for emergency medicine residents?

BACKGROUNDnResidency selection committees commonly utilize USMLE scores as criteria to screen residency applicants.nnnOBJECTIVESnThe purpose of this study is to evaluate the relationship between United States Medical Licensing Examination (USMLE) and American Board of Emergency Medicine (ABEM) in-training examination scores (ITEs).nnnMETHODSnIn an Accreditation Council for Graduate Medical Education-accredited emergency medicine residency program, data were collected for this retrospective cohort study for the classes of 2002-2006. USMLE Step 1 and 2 scores and the ABEM ITEs were recorded for each post-graduate year (PGY) within the aforementioned time frame. Step 1 and 2 scores were compared to consecutive PGY ABEM ITEs to evaluate for an association.nnnRESULTSnThere were 51 USMLE Step 1 and 39 Step 2 scores available for comparison with 153 ABEM ITEs. The mean USMLE Step 1 and Step 2 scores were 228.9 (range 197-252) and 228.4 (range 168-259), respectively. The mean in-training percentiles for the PGY 1, 2, and 3 years were 40.4, 68.3, and 81.7, respectively. The R-squared values for the Step 1 scores compared to the PGY 1, 2, and 3 years ITEs were 0.25, 0.18, and 0.16, respectively. The R-squared values for Step 2 scores as compared to the ABEM ITEs for the PGY 1, 2, and 3 years were 0.43, 0.44, and 0.38, respectively. Residents who scored below 200 on either USMLE Step 1 or Step 2 had significantly lower mean ABEM ITEs than residents who scored above 200 (p < 0.05) and were 10-fold more likely than residents who scored above 220 to score below the 70th percentile in their PGY3 ABEM ITE.nnnCONCLUSIONSnUSMLE Step 1 scores are mildly correlated and Step 2 scores are moderately correlated with ABEM ITEs. Scoring below 200 on either test is associated with significantly lower ABEM ITEs.

Teaching Musculoskeletal Physical Diagnosis Using A Web-based Tutorial and Pathophysiology-Focused Cases

Objective: To assess the effectiveness of an experimental curriculum on teaching first-year medical students the musculoskeletal exam as compared to a traditional curriculum. Background: Musculoskeletal complaints are common in the primary care setting. Practitioners are often deficient in examination skills and knowledge regarding musculoskeletal diseases. There is a lack of uniformity regarding how to teach the musculoskeletal examination among sub-specialists. We propose a novel web-based approach to teaching the musculoskeletal exam that is enhanced by peer practice with pathophysiology-focused cases. We sought to assess the effectiveness of an innovative musculoskeletal curriculum on the knowledge and skills of first-year medical students related to musculoskeletal physical diagnosis as compared to a traditional curriculum. The secondary purpose of this study was to assess satisfaction of students and preceptors exposed to this teaching method. Methods: This quasi-experimental study was conducted at a single LCME-accredited medical school and included a convenience sample from 2 consecutive classes of medical students during the musculoskeletal portion of their physical diagnosis class. We conducted a needs assessment of the traditional curriculum used to teach musculoskeletal examination. The needs assessment informed the development of an experimental curriculum. One class (control group) received the traditional curriculum while the second class (experimental group) received the experimental curriculum, consisting of a web-based musculoskeletal tutorial, pathophysiology-focused cases, and facilitator preparation. We used multiple-choice questions and musculoskeletal OSCE scores to assess differences between knowledge and skills in the 2 groups. Results: The sample consisted of 140 students in each medical school class. There were no statistically significant differences between the 2 groups. One hundred seven students from the control group and 120 students from the experimental group took the multiple-choice examination. The average score was 66% (95% CI= 59.7–72.3) for the control group and 66% (95% CI = 60.5–71.5) for the experimental group. There was no difference between the median musculoskeletal OSCE scores between the 2 groups. The experimental group was satisfied with the new teaching method and gained the additional benefit of a persistent resource. Conclusions: This web-based experimental curriculum was as effective as the traditional curriculum for teaching the musculoskeletal exam. Additionally, users were satisfied with the web-based training and benefited from a persistent resource.

Trimming the fat: identification of risk factors associated with obesity in a pediatric emergency department.

Objective: The purpose of this study was to assess which knowledge deficits and dietary habits in an urban pediatric emergency department (ED) population are risk factors for obesity. Methods: This cross-sectional study in an urban pediatric ED used a modified version of the Diet and Health Knowledge Survey, an in-person interview questionnaire, to collect data on demographics, dietary knowledge, and practices. All patients aged 2 to 17 years were enrolled in the study over a 4-month period. Subjects were excluded if they were in extremis, pregnant, incarcerated, institutionalized, considered an emancipated minor, or consumed only a modified consistency diet. Results: One hundred seventy-nine subjects were enrolled in this study. Based on body mass index, the prevalence of obesity in our study population was 24%. Parents with obese children answered a mean of 62.9% (95% confidence interval, 60.4%-65.5%) of knowledge questions correctly, whereas all others scored 60.3% (95% confidence interval, 58.3%-62.3%) correctly. Based on the univariate analysis, 10 predictors met inclusion criteria into logistic regression analysis: screen time (P = 0.03), race (P = 0.08), sex (P = 0.04), parental education (P = 0.08), parental estimation that child is overweight (P < 0.0001), parental estimation that child is underweight (P = 0.003), trimming fat from meat (P = 0.06), soft-drink consumption (P = 0.03), exercise (P = 0.07), and chip consumption (P = 0.04). In a multivariate analysis, only male sex, regularly trimming fat from meat, and parental assessment of obesity were independently associated with obesity. Conclusions: Knowledge deficiencies regarding healthy nutrition among parents in an urban pediatric ED population were not significantly associated with having obese children; however, specific habits were. Emergency physicians may provide a valuable role in identification and brief behavioral intervention in high-risk populations during the current epidemic of childhood obesity.