scholarly journals Incidence and clinical picture of upper respiratory infection in children receiving zinc supplement

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Widagdo Widagdo
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Respiratory Infection ◽  
Zinc Supplementation ◽  
Controlled Trial ◽  
Negative Slope ◽  
Control Group ◽  
Upper Respiratory Infection ◽  
Series Analysis ◽  
Upper Respiratory

The National Household Health Survey (1995) reported that the prevalence of upper respiratory infection (URI) in Indonesia was found 25.3% for all ages and 47.1% for the under five children. Reports of studies on the effect of zinc in the reduction of respiratory infection stated inconsistentresults. The objective of this community base study is to evaluate the effect of zinc as the attempt to reduce the incidence of URI. We have studied the effect of daily supplementation of 10 mg elemental zinc in a double blind, randomized, controlled trial consisting of 37 children (zinc group) and 36 children (control group) of 6 months - 5 years old. The distribution of preparation and monitoring of morbidity were performed regularly once a week along 2-month study period. During the 2-month study (February-April 2001) we found 24 URI cases in the zinc group and 24 cases in the control group. Time series analysis concerning the incidence and severity of the zinc group showed a negative slope (Yt: a – bx), while the placebo group showed a positive slope (Yt: a + bx). The evidence and severity of URI in zinc groups within the 1st and 2nd months showedsignificant different, while it was not in the control group. The study obviously showed the benefit of zinc supplementation in the reduction of URI as showed by negative slope in the time series analysis, and significant decreased of the incidence and the severity of URI in zinc group. There was no side effect of zinc supplemented noted. We suggest, therefore regular zinc supplementation to the diet of the children in the low economic level community are needed.

Do Children Who Experience Laryngospasm Have an Increased Risk of Upper Respiratory Tract Infection?

1996 ◽  
Vol 85 (3) ◽  
pp. 475-480. ◽  
Author(s):  
Mark S. Schreiner ◽  
Irene O'Hara ◽  
Dorothea A. Markakis ◽  
George D. Politis
Keyword(s):  
Confidence Interval ◽  
Respiratory Infection ◽  
Odds Ratio ◽  
Signs And Symptoms ◽  
Control Group ◽  
Upper Respiratory Tract ◽  
Upper Respiratory Infection ◽  
Airway Surgery ◽  
Increased Risk ◽  
Upper Respiratory

Background Laryngospasm is the most frequently reported respiratory complication associated with upper respiratory infection and general anesthesia in retrospective studies, but prospective studies have failed to demonstrate any increase in risk. Methods A case-control study was performed to examine whether children with laryngospasm were more likely to have an upper respiratory infection on the day of surgery. The parents of all patients (N = 15,183) who were admitted through the day surgery unit were asked if their child had an active or recent (within 2 weeks of surgery) upper respiratory infection and were questioned about specific signs and symptoms to determine if the child met Tait and Knight's definition of an upper respiratory infection. Control subjects were randomly selected from patients whose surgery had occurred within 1 day of the laryngospasm event. Results Patients who developed laryngospasm (N = 123) were 2.05 times (95% confidence interval 1.21-3.45) more likely to have an active upper respiratory infection as defined by their parents than the 492 patients in the control group (P < or = 0.01). The development of laryngospasm was not related to Tait and Knight's definition for an upper respiratory infection or to recent upper respiratory infection. Children with laryngospasm were more likely to be younger (odds ratio = 0.92, 95% confidence interval 0.87-0.99), to be scheduled for airway surgery (odds ratio = 2.08, 95% confidence interval 1.21-3.59), and to have their anesthesia supervised by a less experienced anesthesiologist (odds ratio = 1.69, 95% confidence interval 1.04-2.7) than children in the control group. Conclusion Laryngospasm was more likely to occur in children with an active upper respiratory infection, children who were younger, children who were undergoing airway surgery, and children whose anesthesia were supervised by less experienced anesthesiologists. Understanding the risk factors and the magnitude of the likely risk should help clinicians make the decision as to whether to anesthetize children with upper respiratory infection.

scholarly journals School sessions are correlated with seasonal outbreaks of medically attended respiratory infections: electronic health record time series analysis, Wisconsin 2004–2011

2019 ◽  
Vol 147 ◽  
Author(s):  
J. L. Temte ◽  
J. G. Meiman ◽  
R. E. Gangnon
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Respiratory Infection ◽  
Respiratory Infections ◽  
Social Contact ◽  
School Settings ◽  
Series Analysis ◽  
Increased Risk ◽  
Electronic Health ◽  
Risk Ratios

AbstractIncreased social contact within school settings is thought to be an important factor in seasonal outbreaks of acute respiratory infection (ARI). To better understand the degree of impact, we analysed electronic health records and compared risks of respiratory infections within communities while schools were in session and out-of-session. A time series analysis of weekly respiratory infection diagnoses from 28 family medicine clinics in Wisconsin showed that people under the age of 65 experienced an increased risk of ARI when schools were in session. For children aged 5–17 years, the risk ratio for the first week of a school session was 1.12 (95% confidence interval (CI) 0.93–1.34), the second week of a session was 1.39 (95% CI 1.15–1.68) and more than 2 weeks into a session was 1.43 (95% CI 1.20–1.71). Less significant increased risk ratios were also observed in young children (0–4 years) and adults (18–64 years). These results were obtained after modelling for baseline seasonal variations in disease prevalence and controlling for short-term changes in ambient temperature and relative humidity. Understanding the mechanisms of seasonality make it easier to predict outbreaks and launch timely public health interventions.

Ambient Particulate Matter and Incidence of Respiratory Infection in Children: A Time Series Analysis in Urban Bangladesh

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Allison R Sherris ◽  
Bilkis A Begum ◽  
Abdullah Brooks ◽  
Doli Goswami ◽  
Stephen P Luby ◽  
...  
Keyword(s):  
Time Series ◽  
Particulate Matter ◽  
Time Series Analysis ◽  
Respiratory Infection ◽  
Ambient Particulate Matter ◽  
Series Analysis

scholarly journals TNF-α inhibitors can increase the risk of respiratory infection when used in rheumatism: a meta-analysis and systematic review

2020 ◽  
Author(s):  
Wenwen Luo ◽  
Luo Wenwen ◽  
Zhu Jialian ◽  
Cheng Xuan ◽  
Li Yun ◽  
...  
Keyword(s):  
Respiratory Infection ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Control Group ◽  
P Value ◽  
Upper Respiratory Infection ◽  
Serious Infection ◽  
Tnf Α ◽  
Serious Infections ◽  
Upper Respiratory

Abstract Background The risk of tumor necrosis factor-α(TNF-α) inhibitors (infliximab, etanercept, adalimumab) for the treatment of rheumatic diseases leading to infection events has not yet been established. This meta-analysis aims to assess the risk of developing serious infections of three TNF-α inhibitors for rheumatic diseases.Methods A systematic literature search of Pubmed, Embase and Cochrane Library was conducted through December 2018. Selecting the RCTs which subjects were diagnosed as rheumatoid diseases according to ACR criteria or other authoritative diagnostic criteria and over 18-year-old. Finally, RCTs with Jadad score greater than or equal to 4 were included in this meta-analysis. The Odds Ratio (OR), Confidence Interval (CI) and p value were calculated to assess the risk of serious infections. Results 34 RCTs involving 14166 subjects were included, including 11 RCTs for infliximab, 7 RCTs for etanercept, and 16 for adalimumab. Meta-analysis demonstrated that, with the pooled OR of 1.29 (95%CI 1.04 to 1.60), the TNF-α inhibitors group had a higher risk of serious infection than control group. In the subgroup analysis, infliximab and adalimumab had a higher risk of serious infection than control group, and the pooled ORs were 1.48 (p=0.03) and 1.47 (p=0.03), respectively. For other infections including pneumonia, upper respiratory infection, and nasopharyngitis, the risks of these adverse events were higher in experimental group than control group, while the risk of tuberculosis were not, with the pooled OR of 2.31 (p=0.08）.Conclusions TNF-α inhibitors, especially infliximab and adalimumab, can increase the risk of infections. Among the infections, pneumonia, upper respiratory infection and nasopharyngitis have higher risks in TNF-α inhibitors group than control group. As a result, we summarized that TNF-α inhibitors can increase the risks of respiratory infection when used in rheumatic disease. It is suggested that clinicians should pay attention to the prevention of respiratory infections when using TNF-α inhibitors, so as to achieve a better prognosis for patients with rheumatism.

scholarly journals Assessing the impact of the Provincial Reimbursement Scheme on the use of Targeted Anticancer Medications in Zhejiang, China: A Controlled Interrupted time-series Analysis

2020 ◽  
Author(s):  
Cong Huang ◽  
Carolina Oi Lam Ung ◽  
Haishaerjiang Wushouer ◽  
Ziyue Xu ◽  
Yichen Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Financial Burden ◽  
Interrupted Time Series ◽  
Control Group ◽  
Study Group ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
Hospital Purchasing ◽  
The Impact

Abstract Background: High prices of targeted anticancer medications (TAMs) subject patients to extreme financial burden. To alleviate problems with access and affordability, 6 TAMs were newly listed in the Provincial Reimbursement Drug List (PRDL) in Zhejiang, China in February 2015. To evaluate the implementation of the PRDL policy, this study examined differences in the hospital purchasing volume (HPV) and the hospital purchasing spending (HPS) of 6 listed TAMs pre- and post-enlistment and comparing with 4 other unlisted TAMs. Methods: Interrupted time-series analysis was employed using the pharmaceutical procurement data of 6 newly listed TAMs (study group) and 4 unlisted TAMs (control group) from 22 tertiary hospitals in Zhejiang, China dated between January 2014 and March 2017. Results: After February 2015, the average HPV per month increased significantly by 34.6 defined daily doses (DDDs) (p<0.001) and the average HPS per month increased significantly by USD 6614.9 (p<0.001) for the listed TAMs in the study group (n=6); neither the average HPV nor the average HPS changed significantly for the unlisted TAMs in the control group (n=4). Although only 4 of the 6 listed TAMs exhibited significant decrease in the monthly HPV and HPS individually, the daily cost of each TAM decreased after enlistment. Conclusions: The PRDL policy has shown positive effect on promoting the access to and improving patients’ affordability of TAMs in Zhejiang. The government should conduct further price negotiations and include more TAMs with clinical benefits into reimbursement schemes to relief patients’ financial burden and promote access.

scholarly journals Does Monetary Support Increase the Number of Scientific Papers? An Interrupted Time Series Analysis

2018 ◽  
Vol 3 (1) ◽  
pp. 19-39 ◽  
Author(s):  
Yaşar Tonta
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Interrupted Time Series ◽  
Support Program ◽  
Series Data ◽  
Control Group ◽  
Interrupted Time Series Analysis ◽  
Series Analysis ◽  
The Impact

Abstract Purpose One of the main indicators of scientific production is the number of papers published in scholarly journals. Turkey ranks 18th place in the world based on the number of scholarly publications. The objective of this paper is to find out if the monetary support program initiated in 1993 by the Turkish Scientific and Technological Research Council (TÜBİTAK) to incentivize researchers and increase the number, impact, and quality of international publications has been effective in doing so. Design/methodology/approach We analyzed some 390,000 publications with Turkish affiliations listed in the Web of Science (WoS) database between 1976 and 2015 along with about 157,000 supported ones between 1997 and 2015. We used the interrupted time series (ITS) analysis technique (also known as “quasi-experimental time series analysis” or “intervention analysis”) to test if TÜBİTAK’s support program helped increase the number of publications. We defined ARIMA (1,1,0) model for ITS data and observed the impact of TÜBİTAK’s support program in 1994, 1997, and 2003 (after one, four and 10 years of its start, respectively). The majority of publications (93%) were full papers (articles), which were used as the experimental group while other types of contributions functioned as the control group. We also carried out a multiple regression analysis. Findings TÜBİTAK’s support program has had negligible effect on the increase of the number of papers with Turkish affiliations. Yet, the number of other types of contributions continued to increase even though they were not well supported, suggesting that TÜBİTAK’s support program is probably not the main factor causing the increase in the number of papers with Turkish affiliations. Research limitations Interrupted time series analysis shows if the “intervention” has had any significant effect on the dependent variable but it does not explain what caused the increase in the number of papers if it was not the intervention. Moreover, except the “intervention”, other “event(s)” that might affect the time series data (e.g., increase in the number of research personnel over the years) should not occur during the period of analysis, a prerequisite that is beyond the control of the researcher. Practical implications TÜBİTAK’s “cash-for-publication” program did not seem to have direct impact on the increase of the number of papers published by Turkish authors, suggesting that small amounts of payments are not much of an incentive for authors to publish more. It might perhaps be a better strategy to concentrate limited resources on a few high impact projects rather than to disperse them to thousands of authors as “micropayments.” Originality/value Based on 25 years’ worth of payments data, this is perhaps one of the first large-scale studies showing that “cash-for-publication” policies or “piece rates” paid to researchers tend to have little or no effect on the increase of researchers’ productivity. The main finding of this paper has some implications for countries wherein publication subsidies are used as an incentive to increase the number and quality of papers published in international journals. They should be prepared to consider reviewing their existing support programs (based usually on bibliometric measures such as journal impact factors) and revising their reward policies.

Interrupted Time Series Analysis

2019 ◽  
Author(s):  
David McDowall ◽  
Richard McCleary ◽  
Bradley J. Bartos
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Model Building ◽  
Interrupted Time Series ◽  
Control Group ◽  
General Strategy ◽  
Synthetic Control ◽  
Interrupted Time Series Analysis ◽  
Formal Proofs ◽  
Series Analysis

Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioural, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao model-building strategy is supplemented with recent auxiliary tests for transformation, differencing and model selection. New developments, including Bayesian hypothesis testing and synthetic control group designs are described and their prospects for widespread adoption are discussed. Example analyses make optimal use of graphical illustrations. Mathematical methods used in the example analyses are explicated assuming only exposure to an introductory statistics course. Design and Analysis of Time Series Experiments (DATSE) and other appropriate authorities are cited for formal proofs. Forty completed example analyses are used to demonstrate the implications of model properties. The example analyses are suitable for use as problem sets for classrooms, workshops, and short-courses.

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