Bio-accessibility and health risk assessment of some selected heavy metals in indoor dust from higher institutions in Ondo State, Nigeria.

Risks of heavy metal exposure from contaminated indoor dust constitute a major threat to human health. In this paper, heavy metals in deposited indoor dust samples from four tertiary institutions in Ondo State, Nigeria-Federal University of Technology, Akure; Federal College of Agriculture, Akure; Ondo State College of Health Science Technology, Akure; and Adeyemi College of Education, Ondo-were examined. The samples were collected from each location by dusting the surfaces of doors, windows, and bookshelves in lecture rooms, hostels, laboratories, and libraries, homogenized into a representative composite, and analyzed for Cr, Pb, Cd, Cu, and Zn using a flame atomic absorption spectrophotometer (FAAS) to assess their potential health risk to humans. Cu had the highest mean metal concentration in the range (0.18-0.31 mg/kg) and Cd had the lowest (ND-0.02 mg/kg) in the study. Samples from Federal College of Agriculture had the highest metal concentration, while those from Ondo State College of Health Science Technology had the lowest. The average daily dose (ADD) through ingestion was determined to be the key exposure pathway in a non-carcinogenic investigation followed by ADD through dermal contact and ADD via inhalation accordingly. Despite this, the hazard quotients (HQ) and hazard indices (HI) were well below the safety limit of one. The study established that carcinogenic effect cannot be experienced with exposure to the studied dust samples. To retain the status, it is suggested that a reasonable level of safety and tight rules be implemented.

Assessment of the Appropriateness of Antimicrobial Use in US Hospitals.

Importance: Hospital antimicrobial consumption data are widely available; however, large-scale assessments of the quality of antimicrobial use in US hospitals are limited. Objective: To evaluate the appropriateness of antimicrobial use for hospitalized patients treated for community-acquired pneumonia (CAP) or urinary tract infection (UTI) present at admission or for patients who had received fluoroquinolone or intravenous vancomycin treatment. Design, Setting, and Participants: This cross-sectional study included data from a prevalence survey of hospitalized patients in 10 Emerging Infections Program sites. Random samples of inpatients on hospital survey dates from May 1 to September 30, 2015, were identified. Medical record data were collected for eligible patients with 1 or more of 4 treatment events (CAP, UTI, fluoroquinolone treatment, or vancomycin treatment), which were selected on the basis of common infection types reported and antimicrobials given to patients in the prevalence survey. Data were analyzed from August 1, 2017, to May 31, 2020. Exposure: Antimicrobial treatment for CAP or UTI or with fluoroquinolones or vancomycin. Main Outcomes and Measures: The percentage of antimicrobial use that was supported by medical record data (including infection signs and symptoms, microbiology test results, and antimicrobial treatment duration) or for which some aspect of use was unsupported. Unsupported antimicrobial use was defined as (1) use of antimicrobials to which the pathogen was not susceptible, use in the absence of documented infection signs or symptoms, or use without supporting microbiologic data; (2) use of antimicrobials that deviated from recommended guidelines; or (3) use that exceeded the recommended duration. Results: Of 12 299 patients, 1566 patients (12.7%) in 192 hospitals were included; the median age was 67 years (interquartile range, 53-79 years), and 864 (55.2%) were female. A total of 219 patients (14.0%) were included in the CAP analysis, 452 (28.9%) in the UTI analysis, 550 (35.1%) in the fluoroquinolone analysis, and 403 (25.7%) in the vancomycin analysis; 58 patients (3.7%) were included in both fluoroquinolone and vancomycin analyses. Overall, treatment was unsupported for 876 of 1566 patients (55.9%; 95% CI, 53.5%-58.4%): 110 of 403 (27.3%) who received vancomycin, 256 of 550 (46.6%) who received fluoroquinolones, 347 of 452 (76.8%) with a diagnosis of UTI, and 174 of 219 (79.5%) with a diagnosis of CAP. Among patients with unsupported treatment, common reasons included excessive duration (103 of 174 patients with CAP [59.2%]) and lack of documented infection signs or symptoms (174 of 347 patients with UTI [50.1%]). Conclusions and Relevance: The findings suggest that standardized assessments of hospital antimicrobial prescribing quality can be used to estimate the appropriateness of antimicrobial use in large groups of hospitals. These assessments, performed over time, may inform evaluations of the effects of antimicrobial stewardship initiatives nationally.

Antimicrobial Use in US Hospitals: Comparison of Results From Emerging Infections Program Prevalence Surveys, 2015 and 2011.

BACKGROUND: In the 2011 US hospital prevalence survey of healthcare-associated infections and antimicrobial use 50% of patients received antimicrobial medications on the survey date or day before. More hospitals have since established antimicrobial stewardship programs. We repeated the survey in 2015 to determine antimicrobial use prevalence and describe changes since 2011. METHODS: The Centers for Disease Control and Prevention's Emerging Infections Program sites in 10 states each recruited ≤25 general and women's and children's hospitals. Hospitals selected a survey date from May-September 2015. Medical records for a random patient sample on the survey date were reviewed to collect data on antimicrobial medications administered on the survey date or day before. Percentages of patients on antimicrobial medications were compared; multivariable log-binomial regression modeling was used to evaluate factors associated with antimicrobial use. RESULTS: Of 12 299 patients in 199 hospitals, 6084 (49.5%; 95% CI, 48.6-50.4%) received antimicrobials. Among 148 hospitals in both surveys, overall antimicrobial use prevalence was similar in 2011 and 2015, although the percentage of neonatal critical care patients on antimicrobials was lower in 2015 (22.8% vs 32.0% [2011]; P = .006). Fluoroquinolone use was lower in 2015 (10.1% of patients vs 11.9% [2011]; P < .001). Third- or fourth-generation cephalosporin use was higher (12.2% vs 10.7% [2011]; P = .002), as was carbapenem use (3.7% vs 2.7% [2011]; P < .001). CONCLUSIONS: Overall hospital antimicrobial use prevalence was not different in 2011 and 2015; however, differences observed in selected patient or antimicrobial groups may provide evidence of stewardship impact.

Fifteen years of emergency medicine literature in Africa: A scoping review.

INTRODUCTION: Emergency medicine (EM) throughout Africa exists in various stages of development. The number and types of scientific EM literature can serve as a proxy indicator of EM regional development and activity. The goal of this scoping review is a preliminary assessment of potential size and scope of available African EM literature published over 15 years. METHODS: We searched five indexed international databases as well as non-indexed grey literature from 1999-2014 using key search terms including "Africa", "emergency medicine", "emergency medical services", and "disaster." Two trained physician reviewers independently assessed whether each article met one or more of five inclusion criteria, and discordant results were adjudicated by a senior reviewer. Articles were categorised by subject and country of origin. Publication number per country was normalised by 1,000,000 population. RESULTS: Of 6091 identified articles, 633 (10.4%) were included. African publications increased 10-fold from 1999 to 2013 (9 to 94 articles, respectively). Western Africa had the highest number (212, 33.5%) per region. South Africa had the largest number of articles per country (171, 27.0%) followed by Nigeria, Kenya, and Ghana. 537 (84.8%) articles pertained to facility-based EM, 188 (29.7%) to out-of-hospital emergency medicine, and 109 (17.2%) to disaster medicine. Predominant content areas were epidemiology (374, 59.1%), EM systems (321, 50.7%) and clinical care (262, 41.4%). The most common study design was observational (479, 75.7%), with only 28 (4.4%) interventional studies. All-comers (382, 59.9%) and children (91, 14.1%) were the most commonly studied patient populations. Undifferentiated (313, 49.4%) and traumatic (180, 28.4%) complaints were most common. CONCLUSION: Our review revealed a considerable increase in the growth of African EM literature from 1999 to 2014. Overwhelmingly, articles were observational, studied all-comers, and focused on undifferentiated complaints. The articles discovered in this scoping review are reflective of the relatively immature and growing state of African EM.

Changes in Prevalence of Health Care-Associated Infections in U.S. Hospitals.

BACKGROUND: A point-prevalence survey that was conducted in the United States in 2011 showed that 4% of hospitalized patients had a health care-associated infection. We repeated the survey in 2015 to assess changes in the prevalence of health care-associated infections during a period of national attention to the prevention of such infections. METHODS: At Emerging Infections Program sites in 10 states, we recruited up to 25 hospitals in each site area, prioritizing hospitals that had participated in the 2011 survey. Each hospital selected 1 day on which a random sample of patients was identified for assessment. Trained staff reviewed medical records using the 2011 definitions of health care-associated infections. We compared the percentages of patients with health care-associated infections and performed multivariable log-binomial regression modeling to evaluate the association of survey year with the risk of health care-associated infections. RESULTS: In 2015, a total of 12,299 patients in 199 hospitals were surveyed, as compared with 11,282 patients in 183 hospitals in 2011. Fewer patients had health care-associated infections in 2015 (394 patients [3.2%; 95% confidence interval {CI}, 2.9 to 3.5]) than in 2011 (452 [4.0%; 95% CI, 3.7 to 4.4]) (P<0.001), largely owing to reductions in the prevalence of surgical-site and urinary tract infections. Pneumonia, gastrointestinal infections (most of which were due to Clostridium difficile [now Clostridioides difficile]), and surgical-site infections were the most common health care-associated infections. Patients' risk of having a health care-associated infection was 16% lower in 2015 than in 2011 (risk ratio, 0.84; 95% CI, 0.74 to 0.95; P=0.005), after adjustment for age, presence of devices, days from admission to survey, and status of being in a large hospital. CONCLUSIONS: The prevalence of health care-associated infections was lower in 2015 than in 2011. To continue to make progress in the prevention of such infections, prevention strategies against C. difficile infection and pneumonia should be augmented. (Funded by the Centers for Disease Control and Prevention.).

Accuracy of Prehospital Identification of Stroke in a Large Stroke Belt Municipality.

OBJECTIVE: Strokes are a leading cause of morbidity and mortality in the United States, especially in the "stroke belt" of the southeast. Up to 65% of stroke patients access care by calling 9-1-1. The primary objective of this study is to measure the accuracy of emergency medical dispatchers (EMD) and paramedics, in the prehospital identification of stroke. METHODS: The study was based at Grady Emergency Medical Services, which is Atlanta, Georgia's public emergency medical services (EMS) provider. A retrospective analysis of all medically related 9-1-1 calls to Grady EMS classified as "stroke" between January 1, 2012, and December 31, 2012 was performed. A database was created using deterministic linkage between records from Grady EMS, Grady Hospital Emergency Department (ED), and the Grady Hospital Stroke Registry. Patients excluded were less than 18 years of age, had previous or concurrent head injuries, were transferred from another inpatient facility, and/or had incomplete patient records in any one of the three databases. Descriptive analysis, linear regression, and logistic multivariable regression were performed to discover the accuracy of stroke identification and contributory prehospital factors. RESULTS: A total of 548 patients were included: 475 were transported with EMS impression of stroke and 73 with an impression other than stroke. The median age was 59 years, 87.4% were black, and 52.6% were female. Paramedics adhered to all seven elements of the Grady EMS stroke protocol in 76.4% (n = 363) of suspected stroke cases. Sensitivity and positive predictive value for paramedic stroke identification was 76.2% and 49.3%, respectively, and for EMD, was 48.9% and 24%, respectively. Identification of hemorrhagic strokes had a relatively lower sensitivity. Paramedics were more likely to positively identify strokes when the Cincinnati Prehospital Stroke Scale (CPSS) screen was positive, or when classified by EMD as stroke. Paramedics were less likely to identify stroke in female patients. Paramedics' diagnostic accuracy was similar regardless of their adherence to the EMS stroke care protocol. CONCLUSIONS: EMD and EMS personnel in a large city in the Southeastern United States, with high stroke prevalence, had a relatively high sensitivity in identifying acute stroke patients. Paramedic accuracy was augmented by positive CPSS screening and by EMD recognition of stroke.