Tag: nevin manimala

Pediatr Infect Dis J. 2021 Jun 1;40(6):556-562. doi: 10.1097/INF.0000000000003058.

ABSTRACT

BACKGROUND: Vancomycin has been a first-line treatment for Gram-positive infections for decades. However, strategies for therapeutic drug monitoring (TDM) and dose-optimization in pediatrics remain controversial. In this study, we analyzed the impact of specific antibiotic stewardship interventions on efficacy and safety of vancomycin therapy.

METHODS: From September 2014 to May 2017, we conducted a prospective study to compare a control and a TDM intervention group in our tertiary care center. As part of an antibiotic stewardship program, we implemented internal guidelines on correct vancomycin dosing, TDM timing, as well as targeted trough level range and installed a pharmacokinetic (PK) consultation service to adapt vancomycin dosing to individually calculated PK parameters. As primary clinical outcomes, the percentage of patients with sustained therapeutic vancomycin trough levels and treatment days with therapeutic vancomycin trough levels, that is, 10-15 mg/L were analyzed. Secondary outcomes included nephrotoxicity, readmission rate and mortality. Median daily dose required to achieve therapeutic trough levels was examined.

RESULTS: Clinical outcomes for 90 control patients were compared with outcomes for 19 patients guided by a PK consultation service. Percentage of patients with sustained therapeutic vancomycin trough levels increased from 17.8% to 94.7% (P < 0.001) and percentage of treatment days with therapeutic vancomycin trough levels increased from 18.4% (117/637) to 665% (155/233, P < 0.001). Readmission rate decreased from 24.4% to 5.3% (P = 0.07). No differences in nephrotoxicity or mortality rate were observed between groups. A median daily dose of 72 mg/kg/d was required to achieve therapeutic trough levels.

CONCLUSIONS: Our data demonstrate that implementation of internal guidelines and a PK consultation service was associated with a profound improvement of vancomycin therapy and, therefore, patient safety.

PMID:33956756 | DOI:10.1097/INF.0000000000003058

Pediatr Infect Dis J. 2021 Jun 1;40(6):590-596. doi: 10.1097/INF.0000000000003111.

ABSTRACT

BACKGROUND: Evidence on vaccine effectiveness (VE) may encourage vaccination and help fight the reemergence of measles and mumps in Europe. However, limited data exist on real-life effectiveness of individual measles, mumps and rubella (MMR) vaccines. This study evaluated VE of GSK’s MMR vaccine (“Priorix”) against measles and mumps.

METHODS: This retrospective, case-control study used UK data from the Clinical Practice Research Datalink GOLD linked to the Hospital Episode Statistics database to identify children 1-13 years old diagnosed with measles or mumps from January 2006 to December 2018. Cases were matched to controls according to birth month/year and practice region. Cases were identified using clinical codes (without laboratory confirmation). “Priorix” exposure was identified using vaccine batch identifiers. Children exposed to other MMR vaccines were excluded. Adjusted VE was estimated for ≥1 vaccine dose in all children, and for 1 dose and ≥2 doses in children ≥4 years at diagnosis.

RESULTS: Overall, 299 measles cases matched with 1196 controls (87.6% <4 years old), and 243 mumps cases matched with 970 controls (74.2% <4 years old) were considered. VE for ≥1 dose in all children was 78.0% (97.5% confidence interval: 67.2%-85.3%) for measles and 66.7% (48.1%-78.6%) for mumps. In children ≥4 years old, VE after 1 dose was 74.6% (-21.7% to 94.7%) for measles and 82.3% (32.7%-95.3%) for mumps, and VE after ≥2 doses was 94.4% (79.7%-98.5%) for measles and 86.5% (64.0%-94.9%) for mumps.

CONCLUSIONS: “Priorix” is effective in preventing measles and mumps in real-life settings.

PMID:33956757 | DOI:10.1097/INF.0000000000003111

PLoS One. 2021 May 6;16(5):e0250784. doi: 10.1371/journal.pone.0250784. eCollection 2021.

ABSTRACT

Scholars have offered multiple theoretical resolutions to explain inconsistent findings about the relationship of state repression and protests, but this repression-dissent puzzle remains unsolved. We simulate the spread of protest on social networks to suggest that the repression-dissent puzzle arises from the nature of statistical sampling. Even though the paper’s simulations construct repression so it can only decrease protest size, the strength of repression sometimes correlates with a decrease, increase, or no change in protest size, regardless of the type of network or sample size chosen. Moreover, the results are most contradictory when the repression rate most closely matches that observed in real-world data. These results offer a new framework for understanding state and protester behavior and suggest the importance of collecting network data when studying protests.

PMID:33956806 | DOI:10.1371/journal.pone.0250784

J Infect Dev Ctries. 2021 Apr 30;15(4):573-578. doi: 10.3855/jidc.12646.

ABSTRACT

INTRODUCTION: The increasing resistance to antibiotics is a public health problem and an imminent therapeutic challenge in hospitals. In this report we aimed to analyze the relationship between antimicrobial resistance and antibiotic consumption in a third-level pediatric hospital.

METHODOLOGY: A cross-sectional analysis was conducted using the information from the microbiology and pharmacy databases of the Pediatric Hospital “Doctor Silvestre Frenk Freund”, during the period 2015-2018. Prevalence of antimicrobial resistance by microorganisms and dispensed grams of selected antibiotics were calculated annually. Antibiotic resistance trend over the time was evaluated using the Chi-square trends test and to assess the correlation between the dispensed grams of antibiotics with their antimicrobial resistance prevalence, we calculated the Pearson’s coefficient (r).

RESULTS: A total of 4,327 isolated bacterial samples were analyzed (56.5% Gram-positive and 44.5% Gram-negative). Most frequently isolated microorganisms were coagulase-negative staphylococci (CoNS), E. coli, K. pneumoniae, P. aeruginosa and S. aureus. We found a significant increase in resistance to clindamycin and oxacillin for CoNS and significant decrease in nitrofurantoin and amikacin resistance for E. coli and K. pneumoniae. We observed a strong positive and statistically significant correlation between amikacin resistance prevalence and amikacin dispensed grams for P. aeruginosa (r = 0.95, p = 0.05).

CONCLUSIONS: The antibiotic resistance profile showed by our study highlights the need of an appropriate antibiotic control use in the Hospital setting.

PMID:33956659 | DOI:10.3855/jidc.12646

Med Sci Sports Exerc. 2021 Jan 1;53(1):246. doi: 10.1249/01.mss.0000725668.35113.c4.

NO ABSTRACT

PMID:33956727 | DOI:10.1249/01.mss.0000725668.35113.c4

J Infect Dev Ctries. 2021 Apr 30;15(4):552-558. doi: 10.3855/jidc.11885.

ABSTRACT

INTRODUCTION: The increasing number of persons > 65 years of age form a special population at risk for nosocomial and other health care-associated infections. Nosocomial infections are major problems in terms of morbidity and mortality as well as prolonged hospitalization and increased costs. The aim of the present study was determination of nurses’ awareness of hospital-acquired infection risks of the geriatric patients.

METHODOLOGY: This descriptive and cross-sectional study was conducted at a university hospital in North Cyprus. A total of 164 voluntary nurses composed the sample of the study. A questionnaire that was developed by the researchers based on the literature was used as data collection tool. After the ethical approval, data were collected using a questionnaire in September and October 2017 with self-completion method. The methods used to analyze the data include an analysis of descriptive statistic variables such as frequency and percentages for the categorical variables and the Pearson’s Chi-square test for comparisons.

RESULTS: Results of the study showed inadequate awareness among nurses on hospital-acquired infection risks of the geriatric patients. It was also determined that there were the statistically significant differences in term of education levels and experiences of nurses with different items on hospital-acquired infection risks of the geriatric patients.

CONCLUSIONS: Based on the results of the study, implementations of comprehensive, systematic, and continuous educational programs to enhance awareness of the nurses on health care-associated infections was recommended.

PMID:33956656 | DOI:10.3855/jidc.11885

JMIR Res Protoc. 2021 May 6;10(5):e15716. doi: 10.2196/15716.

ABSTRACT

BACKGROUND: Lupus is a complex autoimmune disease that is difficult to diagnose and treat. It is estimated that at least 5 million Americans have lupus, with more than 16,000 new cases of lupus being reported annually in the United States. Social media provides a platform for patients to find rheumatologists and peers and build awareness of the condition. Researchers have suggested that the social network Twitter may serve as a rich avenue for exploring how patients communicate about their health issues. However, there is a lack of research about the characteristics of lupus patients on Twitter and their attitudes toward using Twitter for engaging them with their health care.

OBJECTIVE: This study has two objectives: (1) to conduct a content analysis of Twitter data published by users (in English) in the United States between September 1, 2017 and October 31, 2018 to identify patients who publicly discuss their lupus condition and to assess their expressed health themes and (2) to conduct a cross-sectional survey among these lupus patients on Twitter to study their attitudes toward using Twitter for engaging them with their health care.

METHODS: This is a mixed methods study that analyzes retrospective Twitter data and conducts a cross-sectional survey among lupus patients on Twitter. We used Symplur Signals, a health care social media analytics platform, to access the Twitter data and analyze user-generated posts that include keywords related to lupus. We will use descriptive statistics to analyze the data and identify the most prevalent topics in the Twitter content among lupus patients. We will further conduct self-report surveys via Twitter by inviting all identified lupus patients who discuss their lupus condition on Twitter. The goal of the survey is to collect data about the characteristics of lupus patients (eg, gender, race/ethnicity, educational level) and their attitudes toward using Twitter for engaging them with their health care.

RESULTS: This study has been funded by the National Center for Advancing Translational Science through a Clinical and Translational Science Award. The institutional review board at the University of Southern California (HS-19-00048) approved the study. Data extraction and cleaning are complete. We obtained 47,715 Twitter posts containing terms related to “lupus” from users in the United States published in English between September 1, 2017 and October 31, 2018. We included 40,885 posts in the analysis. Data analysis was completed in Fall 2020.

CONCLUSIONS: The data obtained in this pilot study will shed light on whether Twitter provides a promising data source for garnering health-related attitudes among lupus patients. The data will also help to determine whether Twitter might serve as a potential outreach platform for raising awareness of lupus among patients and implementing related health education interventions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/15716.

PMID:33955845 | DOI:10.2196/15716

Blood Coagul Fibrinolysis. 2021 Jun 1;32(4):248-252. doi: 10.1097/MBC.0000000000001025.

ABSTRACT

Early diagnosis of disseminated intravascular coagulation (DIC) before its progression to an overt stage is beneficial for its treatment and prognosis.This retrospective study aimed to evaluate the diagnostic performance of D-dimer and fibrin monomer in the early stage of DIC.A total of 707 patients suspected of having DIC, 302 healthy people were enrolled and divided into four groups: overt DIC, nonovert DIC, non-DIC based on the International Society of Thrombosis and Hemostasis scoring for overt DIC and the modified nonovert DIC criteria, healthy people as control group. Quantitative determination was done by immunoturbidimetry for D-dimer and fibrin monomer.The median of fibrin monomer in overt, nonovert and non-DIC was 41.65, 26.89 and 8.68 μg/ml, respectively. The median of D-dimer in overt, nonovert and non-DIC was 9.69, 3.98 and 3.08 μg/ml, respectively. D-dimer and fibrin monomer values were higher in overt DIC than other groups, but there was no difference between nonovert DIC and non-DIC in D-dimer. Unlike D-dimer, statistically significant differences were found in fibrin monomer between nonovert and non-DIC. At receiver operator characteristic curve-generated cutoff values, fibrin monomer had much excellent predictive performance compared with D-dimer for distinguishing nonovert DIC from non-DIC. D-dimer and fibrin monomer had same diagnostic performance in distinguishing overt DIC from non-DIC.Fibrin monomer is a better indicator compared with D-dimer in distinguishing patients with nonovert DIC from non-DIC. Hence, it might serve as an excellent negative exclusion marker to provide a reference for early clinical diagnosis and intervention through more studies.

PMID:33955858 | DOI:10.1097/MBC.0000000000001025

Subst Abus. 2021 May 6:1-2. doi: 10.1080/08897077.2021.1915919. Online ahead of print.

ABSTRACT

Lebanon, a small middle-income nation in western Asia, has been crippled by decades of political turmoil and armed conflict. A “quadruple crisis” hit the country over the past years, starting with the protracted humanitarian Syrian refugee crisis, followed by a severe socioeconomic collapse, the global COVID-19 pandemic, and lastly the Beirut port catastrophic blast. With the exposure to repetitive traumatic events and associated organic brain injury, the Lebanese population has become at a higher risk of addiction, among other psychiatric comorbidities. With the scarce statistics about the topic and limited addiction services in the country, collaborative local efforts and international help are urgently needed to fight the upcoming substance use epidemic. Raising awareness, providing adequate training, and securing resources for the management of both addiction and trauma are of utmost importance.

PMID:33955819 | DOI:10.1080/08897077.2021.1915919

JMIR Med Inform. 2021 May 6;9(5):e28413. doi: 10.2196/28413.

ABSTRACT

BACKGROUND: Improving the understandability of health information can significantly increase the cost-effectiveness and efficiency of health education programs for vulnerable populations. There is a pressing need to develop clinically informed computerized tools to enable rapid, reliable assessment of the linguistic understandability of specialized health and medical education resources. This paper fills a critical gap in current patient-oriented health resource development, which requires reliable and accurate evaluation instruments to increase the efficiency and cost-effectiveness of health education resource evaluation.

OBJECTIVE: We aimed to translate internationally endorsed clinical guidelines to machine learning algorithms to facilitate the evaluation of the understandability of health resources for international students at Australian universities.

METHODS: Based on international patient health resource assessment guidelines, we developed machine learning algorithms to predict the linguistic understandability of health texts for Australian college students (aged 25-30 years) from non-English speaking backgrounds. We compared extreme gradient boosting, random forest, neural networks, and C5.0 decision tree for automated health information understandability evaluation. The 5 machine learning models achieved statistically better results compared to the baseline logistic regression model. We also evaluated the impact of each linguistic feature on the performance of each of the 5 models.

RESULTS: We found that information evidentness, relevance to educational purposes, and logical sequence were consistently more important than numeracy skills and medical knowledge when assessing the linguistic understandability of health education resources for international tertiary students with adequate English skills (International English Language Testing System mean score 6.5) and high health literacy (mean 16.5 in the Short Assessment of Health Literacy-English test). Our results challenge the traditional views that lack of medical knowledge and numerical skills constituted the barriers to the understanding of health educational materials.

CONCLUSIONS: Machine learning algorithms were developed to predict health information understandability for international college students aged 25-30 years. Thirteen natural language features and 5 evaluation dimensions were identified and compared in terms of their impact on the performance of the models. Health information understandability varies according to the demographic profiles of the target readers, and for international tertiary students, improving health information evidentness, relevance, and logic is critical.

PMID:33955834 | DOI:10.2196/28413