Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru : A cluster analysis
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved..
OBJECTIVES: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru.
METHODS: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance.
RESULTS: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the "severe" cluster, characterized by older adults and patients with dyspnea or comorbidities (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiologic characteristics according to the cluster to which they belonged.
CONCLUSION: Using cluster analysis, we identified characteristic patterns in each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second COVID-19 wave than the first COVID-19 wave.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:123 |
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| Enthalten in: |
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases - 123(2022) vom: 01. Okt., Seite 212-220 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Valladares-Garrido, Mario J [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 04.10.2022 Date Revised 17.12.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ijid.2022.07.045 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM343919966 |
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| 041 | |a eng | ||
| 100 | 1 | |a Valladares-Garrido, Mario J |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru |b A cluster analysis |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
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| 500 | |a Date Completed 04.10.2022 | ||
| 500 | |a Date Revised 17.12.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a OBJECTIVES: To identify differences in the clinical and epidemiologic characteristics of patients during the first and second waves of the COVID-19 pandemic at the EsSalud Lambayeque health care network, Peru | ||
| 520 | |a METHODS: An analytical cross-sectional study of 53,912 patients enrolled during the first and second waves of COVID-19 was conducted. Cluster analysis based on clustering large applications (CLARA) was applied to clinical-epidemiologic data presented at the time of care. The two pandemic waves were compared using clinical-epidemiologic data from epidemiologic surveillance | ||
| 520 | |a RESULTS: Cluster analysis identified four COVID-19 groups with a characteristic pattern. Cluster 1 included the largest number of participants in both waves, and the participants were predominantly female. Cluster 2 included patients with gastrointestinal, respiratory, and systemic symptoms. Cluster 3 was the "severe" cluster, characterized by older adults and patients with dyspnea or comorbidities (cardiovascular, diabetes, obesity). Cluster 4 included asymptomatic, pregnant, and less severe patients. We found differences in all clinical-epidemiologic characteristics according to the cluster to which they belonged | ||
| 520 | |a CONCLUSION: Using cluster analysis, we identified characteristic patterns in each group. Respiratory, gastrointestinal, dyspnea, anosmia, and ageusia symptoms were higher in the second COVID-19 wave than the first COVID-19 wave | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Cluster analysis | |
| 650 | 4 | |a Coronavirus infection | |
| 650 | 4 | |a Pandemic wave | |
| 650 | 4 | |a Peru | |
| 650 | 4 | |a Symptoms | |
| 700 | 1 | |a Failoc-Rojas, Virgilio E |e verfasserin |4 aut | |
| 700 | 1 | |a Soto-Becerra, Percy |e verfasserin |4 aut | |
| 700 | 1 | |a Zeña-Ñañez, Sandra |e verfasserin |4 aut | |
| 700 | 1 | |a Torres-Roman, J Smith |e verfasserin |4 aut | |
| 700 | 1 | |a Fernández-Mogollón, Jorge L |e verfasserin |4 aut | |
| 700 | 1 | |a Colchado-Palacios, Irina G |e verfasserin |4 aut | |
| 700 | 1 | |a Apolaya-Segura, Carlos E |e verfasserin |4 aut | |
| 700 | 1 | |a Dávila-Gonzales, Jhoni A |e verfasserin |4 aut | |
| 700 | 1 | |a Arce-Villalobos, Laura R |e verfasserin |4 aut | |
| 700 | 1 | |a Neciosup-Puican, Roxana Del Pilar |e verfasserin |4 aut | |
| 700 | 1 | |a Calvay-Requejo, Alexander G |e verfasserin |4 aut | |
| 700 | 1 | |a Maguiña, Jorge L |e verfasserin |4 aut | |
| 700 | 1 | |a Apolaya-Segura, Moisés |e verfasserin |4 aut | |
| 700 | 1 | |a Díaz-Vélez, Cristian |e verfasserin |4 aut | |
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