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Evolving Treatment Patterns for Hospitalized COVID-19 Patients in the United States in April 2020-July 2020.
Fan, Xiaozhou; Johnson, Barbara H; Johnston, Stephen S; Elangovanraaj, Nivesh; Coplan, Paul; Khanna, Rahul.
  • Fan X; Medical Device Epidemiology and Real World Data Sciences, Johnson & Johnson, New Brunswick, NJ, USA.
  • Johnson BH; Medical Device Epidemiology and Real World Data Sciences, Johnson & Johnson, New Brunswick, NJ, USA.
  • Johnston SS; Medical Device Epidemiology and Real World Data Sciences, Johnson & Johnson, New Brunswick, NJ, USA.
  • Elangovanraaj N; Mu Sigma Inc, Bangalore, India.
  • Coplan P; Medical Device Epidemiology and Real World Data Sciences, Johnson & Johnson, New Brunswick, NJ, USA.
  • Khanna R; Medical Device Epidemiology and Real World Data Sciences, Johnson & Johnson, New Brunswick, NJ, USA.
Int J Gen Med ; 14: 267-271, 2021.
Article in English | MEDLINE | ID: covidwho-1060965
Semantic information from SemMedBD (by NLM)
1. COVID-19 PROCESS_OF hospitalized patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
hospitalized patients
2. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
3. hydroxychloroquine COEXISTS_WITH dexamethasone
Subject
hydroxychloroquine
Predicate
COEXISTS_WITH
Object
dexamethasone
4. hydroxychloroquine COEXISTS_WITH azithromycin
Subject
hydroxychloroquine
Predicate
COEXISTS_WITH
Object
azithromycin
5. COVID-19 PROCESS_OF hospitalized patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
hospitalized patients
6. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
7. hydroxychloroquine COEXISTS_WITH dexamethasone
Subject
hydroxychloroquine
Predicate
COEXISTS_WITH
Object
dexamethasone
8. hydroxychloroquine COEXISTS_WITH azithromycin
Subject
hydroxychloroquine
Predicate
COEXISTS_WITH
Object
azithromycin
ABSTRACT
We sought to examine the trend (April-July) in the treatment patterns among hospitalized COVID-19 patients using the Premier Healthcare Database (PHD). In the analysis, we identified 53,264 patients from 302 hospitalsthat continuously provided inpatient data from April 1, 2020 to July 31, 2020 to the PHD, a nationwide, population-based multihospital research database in the US. We used generalized estimating equations (GEE) models to assess changes in the proportion of therapies used during the study period. After adjusting for patient and provider factors, a decline in hydroxychloroquine and an increase in azithromycin and dexamethasone were observed among COVID-19 patients during the 4-month study period.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Int J Gen Med Year: 2021 Document Type: Article Affiliation country: Ijgm.S290118

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Int J Gen Med Year: 2021 Document Type: Article Affiliation country: Ijgm.S290118