The risk of death or unplanned readmission after discharge from a COVID-19 hospitalization in Alberta and Ontario.
The risk of death or unplanned readmission after discharge from a COVID-19 hospitalization in Alberta and Ontario.
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DOI:
10.1503/cmaj.220272
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发表时间:
2022-05-16
期刊:
影响因子:
--
通讯作者:
中科院分区:
文献类型:
--
作者:
The frequency of readmissions after COVID-19 hospitalizations is uncertain, as is whether current readmission prediction equations are useful for discharge risk stratification of COVID-19 survivors or for comparing among hospitals. We sought to determine the frequency and predictors of death or unplanned readmission after a COVID-19 hospital discharge. We conducted a retrospective cohort study of all adults (≥ 18 yr) who were discharged alive from hospital after a nonpsychiatric, nonobstetric, acute care admission for COVID-19 between Jan. 1, 2020, and Sept. 30, 2021, in Alberta and Ontario. Of 843 737 individuals who tested positive for SARS-CoV-2 by reverse transcription polymerase chain reaction during the study period, 46 412 (5.5%) were adults admitted to hospital within 14 days of their positive test. Of these, 8496 died in hospital and 34 846 were discharged alive (30 336 discharged after an index admission of ≤ 30 d and 4510 discharged after an admission > 30 d). One in 9 discharged patients died or were readmitted within 30 days after discharge (3173 [10.5%] of those with stay ≤ 30 d and 579 [12.8%] of those with stay > 30 d). The LACE score (length of stay, acuity, Charlson Comorbidity Index and number of emergency visits in previous 6 months) for predicting urgent readmission or death within 30 days had a c-statistic of 0.60 in Alberta and 0.61 in Ontario; inclusion of sex, discharge locale, deprivation index and teaching hospital status in the model improved the c-statistic to 0.73. Death or readmission after discharge from a COVID-19 hospitalization is common and had a similar frequency in Alberta and Ontario. Risk stratification and interinstitutional comparisons of outcomes after hospital admission for COVID-19 should include sex, discharge locale and socioeconomic measures, in addition to the LACE variables.
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影响因子:
39.2
作者:
Kind AJ;Bartels C;Mell MW;Mullahy J;Smith M
通讯作者:
Smith M
影响因子:
4.6
作者:
Ramos-Martínez A;Parra-Ramírez LM;Morrás I;Carnevali M;Jiménez-Ibañez L;Rubio-Rivas M;Arnalich F;Beato JL;Monge D;Asín U;Suárez C;Freire SJ;Méndez-Bailón M;Perales I;Loureiro-Amigo J;Gómez-Belda AB;Pesqueira PM;Gómez-Huelgas R;Mella C;Díez-García LF;Fernández-Sola J;González-Ferrer R;Aroza M;Antón-Santos JM;Bermejo CL
通讯作者:
Bermejo CL
DOI:
10.1016/j.ajem.2021.10.059
发表时间:
2022-01
期刊:
The American journal of emergency medicine
影响因子:
--
作者:
Ramzi ZS
通讯作者:
Ramzi ZS
DOI:
10.15585/mmwr.mm6945e2
发表时间:
2020-11-13
期刊:
MMWR. Morbidity and mortality weekly report
影响因子:
--
作者:
Lavery AM;Preston LE;Ko JY;Chevinsky JR;DeSisto CL;Pennington AF;Kompaniyets L;Datta SD;Click ES;Golden T;Goodman AB;Mac Kenzie WR;Boehmer TK;Gundlapalli AV
通讯作者:
Gundlapalli AV
影响因子:
13.8
作者:
Roth GA;Emmons-Bell S;Alger HM;Bradley SM;Das SR;de Lemos JA;Gakidou E;Elkind MSV;Hay S;Hall JL;Johnson CO;Morrow DA;Rodriguez F;Rutan C;Shakil S;Sorensen R;Stevens L;Wang TY;Walchok J;Williams J;Murray C
通讯作者:
Murray C