Risk Factors and Predictive Model for Mortality of Hospitalized COVID-19 Elderly Patients from a Tertiary Care Hospital in Thailand
Background: Early detection of elderly patients with COVID-19 who are at high risk of mortality is vital for appropriate clinical decisions. We aimed to evaluate the risk factors associated with all-cause in-hospital mortality among elderly patients with COVID-19. Methods: In this retrospective study, the medical records of elderly patients aged over 60 who were hospitalized with COVID-19 at Thammasat University Hospital from 1 July to 30 September 2021 were reviewed. Multivariate logistic regression was used to identify independent predictors of mortality. The sum of weighted integers was used as a total risk score for each patient. Results: In total, 138 medical records of patients were reviewed. Four identified variables based on the odds ratio (age, respiratory rate, glomerular filtration rate and history of stroke) were assigned a weighted integer and were developed to predict mortality risk in hospitalized elderly patients. The AUROC of the scoring system were 0.9415 (95% confidence interval, 0.9033-0.9716). The optimized scoring system was developed and a risk score over 213 was considered a cut-off point for high mortality risk. Conclusions: A simple predictive risk score provides an initial assessment of mortality risk at the time of admission with a high degree of accuracy among hospitalized elderly patients with COVID-19.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2023 |
---|---|
Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
---|---|
Enthalten in: |
Medicines (Basel, Switzerland) - 10(2023), 11 vom: 24. Okt. |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Chuansangeam, Mallika [VerfasserIn] |
---|
Links: |
---|
Themen: |
---|
Anmerkungen: |
Date Revised 26.11.2023 published: Electronic Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.3390/medicines10110059 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM364904526 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM364904526 | ||
003 | DE-627 | ||
005 | 20231226100519.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231226s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.3390/medicines10110059 |2 doi | |
028 | 5 | 2 | |a pubmed24n1216.xml |
035 | |a (DE-627)NLM364904526 | ||
035 | |a (NLM)37999199 | ||
035 | |a (PII)59 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Chuansangeam, Mallika |e verfasserin |4 aut | |
245 | 1 | 0 | |a Risk Factors and Predictive Model for Mortality of Hospitalized COVID-19 Elderly Patients from a Tertiary Care Hospital in Thailand |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 26.11.2023 | ||
500 | |a published: Electronic | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a Background: Early detection of elderly patients with COVID-19 who are at high risk of mortality is vital for appropriate clinical decisions. We aimed to evaluate the risk factors associated with all-cause in-hospital mortality among elderly patients with COVID-19. Methods: In this retrospective study, the medical records of elderly patients aged over 60 who were hospitalized with COVID-19 at Thammasat University Hospital from 1 July to 30 September 2021 were reviewed. Multivariate logistic regression was used to identify independent predictors of mortality. The sum of weighted integers was used as a total risk score for each patient. Results: In total, 138 medical records of patients were reviewed. Four identified variables based on the odds ratio (age, respiratory rate, glomerular filtration rate and history of stroke) were assigned a weighted integer and were developed to predict mortality risk in hospitalized elderly patients. The AUROC of the scoring system were 0.9415 (95% confidence interval, 0.9033-0.9716). The optimized scoring system was developed and a risk score over 213 was considered a cut-off point for high mortality risk. Conclusions: A simple predictive risk score provides an initial assessment of mortality risk at the time of admission with a high degree of accuracy among hospitalized elderly patients with COVID-19 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a COVID-19 | |
650 | 4 | |a elderly | |
650 | 4 | |a mortality | |
650 | 4 | |a predictive model | |
700 | 1 | |a Srithan, Bunyarat |e verfasserin |4 aut | |
700 | 1 | |a Pattharanitima, Pattharawin |e verfasserin |4 aut | |
700 | 1 | |a Phadungsaksawasdi, Pawit |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Medicines (Basel, Switzerland) |d 2014 |g 10(2023), 11 vom: 24. Okt. |w (DE-627)NLM258165979 |x 2305-6320 |7 nnns |
773 | 1 | 8 | |g volume:10 |g year:2023 |g number:11 |g day:24 |g month:10 |
856 | 4 | 0 | |u http://dx.doi.org/10.3390/medicines10110059 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 10 |j 2023 |e 11 |b 24 |c 10 |