Pub Date : 2019-01-01DOI: 10.18297/jri/vol3/iss1/1
T. Wiemken, R. Kelley, William A. Mattingly, J. Ramirez
Clinical research in pneumonia involves the creation and dissemination of new knowledge studying patients with pneumonia. The process of clinical research can be summarized in four steps: planning the study, performing of the study, analyzing the data, and disseminating study results. During the third step of data analysis, data are often examined to define if associations exist between independent variables (e.g. predictor variable or other variables in the model) and the dependent variable (e.g. outcome). This examination of the data is performed using two types of methods: 1) clinical analysis and 2) statistical analysis. During clinical analysis, the data are evaluated to define biological plausibility and clinical importance. During statistical analysis, the data are commonly evaluated to define statistical significance for the purposes of hypothesis testing, an approach termed ‘frequentist statistics’ [1].
{"title":"Clinical Research in Pneumonia: Role of Artificial Intelligence","authors":"T. Wiemken, R. Kelley, William A. Mattingly, J. Ramirez","doi":"10.18297/jri/vol3/iss1/1","DOIUrl":"https://doi.org/10.18297/jri/vol3/iss1/1","url":null,"abstract":"Clinical research in pneumonia involves the creation and dissemination of new knowledge studying patients with pneumonia. The process of clinical research can be summarized in four steps: planning the study, performing of the study, analyzing the data, and disseminating study results. During the third step of data analysis, data are often examined to define if associations exist between independent variables (e.g. predictor variable or other variables in the model) and the dependent variable (e.g. outcome). This examination of the data is performed using two types of methods: 1) clinical analysis and 2) statistical analysis. During clinical analysis, the data are evaluated to define biological plausibility and clinical importance. During statistical analysis, the data are commonly evaluated to define statistical significance for the purposes of hypothesis testing, an approach termed ‘frequentist statistics’ [1].","PeriodicalId":91979,"journal":{"name":"The University of Louisville journal of respiratory infections","volume":"174 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87296069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.18297/JRI/VOL3/ISS1/4
J. Harting
In 2013, the Centers for Disease Control (CDC) issued antimicrobial resistance guidance ranking carbapenemresistant Enterobacteriaceae (CRE), Neisseria gonorrhea, and Clostridium difficile as the three most urgent resistance threats in the United States [1]. CRE are defined as pathogens testing resistant to the following carbapenem antimicrobials (imipenem, meropenem, doripenem, or ertapenem) or are documented to produce a carbapenemase [2]. In the 2013 CDC report, an estimated 9,300 inpatient cases were predicted annually, and as of December 2017, CRE isolates have now been reported in all 50 states [3]. Enterobacteriaceae cause roughly 27.2% of healthcare-associated infections (HAIs) in acute care settings, with Klebsiella pneumoniae and E. coli as the predominant species [4]. Carbapenems are useful last line treatment options in multidrug-resistant gram-negative infections. Therefore, CRE are truly a healthcare threat.
{"title":"Carbapenem-resistant Enterobacteriaceae Infections: A Review of Epidemiology and Treatment Options","authors":"J. Harting","doi":"10.18297/JRI/VOL3/ISS1/4","DOIUrl":"https://doi.org/10.18297/JRI/VOL3/ISS1/4","url":null,"abstract":"In 2013, the Centers for Disease Control (CDC) issued antimicrobial resistance guidance ranking carbapenemresistant Enterobacteriaceae (CRE), Neisseria gonorrhea, and Clostridium difficile as the three most urgent resistance threats in the United States [1]. CRE are defined as pathogens testing resistant to the following carbapenem antimicrobials (imipenem, meropenem, doripenem, or ertapenem) or are documented to produce a carbapenemase [2]. In the 2013 CDC report, an estimated 9,300 inpatient cases were predicted annually, and as of December 2017, CRE isolates have now been reported in all 50 states [3]. Enterobacteriaceae cause roughly 27.2% of healthcare-associated infections (HAIs) in acute care settings, with Klebsiella pneumoniae and E. coli as the predominant species [4]. Carbapenems are useful last line treatment options in multidrug-resistant gram-negative infections. Therefore, CRE are truly a healthcare threat.","PeriodicalId":91979,"journal":{"name":"The University of Louisville journal of respiratory infections","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87456713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}