Dataset Information

ABC-GOALScl score predicts admission to the intensive care unit and mortality of COVID-19 patients over 60 years of age.

ABSTRACT:

Background

One of the risk factors for getting seriously ill from COVID-19 and reaching high mortality rates is older age. Older age is also associated with comorbidities, which are risk factors for severe COVID-19 infection. Among the tools that have been evaluated to predict intensive care unit (ICU) admission and mortality is ABC-GOALScl.

Aim

In the present study we validated the utility of ABC-GOALScl to predict in-hospital mortality in subjects over 60 years of age who were positive for SARS-CoV-2 virus at the moment of admission with the purpose of optimizing sanitary resources and offering personalized treatment for these patients.

Methods

This was an observational, descriptive, transversal, non-interventional and retrospective study of subjects (≥ 60 years of age), hospitalized due to COVID-19 infection at a general hospital in northeastern Mexico. A logistical regression model was used for data analysis.

Results

Two hundred forty-three subjects were included in the study, whom 145 (59.7%) passed away, while 98 (40.3%) were discharged. Average age was 71, and 57.6% were male. The prediction model ABC-GOALScl included sex, body mass index, Charlson comorbidity index, dyspnea, arterial pressure, respiratory frequency, SpFi coefficient (Saturation of oxygen/Fraction of inspired oxygen ratio), serum levels of glucose, albumin, and lactate dehydrogenase; all were measured at the moment of admission. The area under the curve for the scale with respect to the variable of discharge due to death was 0.73 (IC 95% = 0.662-0.792).

Conclusion

The ABC-GOALScl scale to predict ICU admission in COVID-19 patients is also useful to predict in-hospital death in COVID-19 patients ≥ 60 years old.

SUBMITTER: Camacho-Moll ME

PROVIDER: S-EPMC9999052 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Publications

ABC-GOALScl score predicts admission to the intensive care unit and mortality of COVID-19 patients over 60 years of age.

Camacho-Moll María Elena ME Ramírez-Daher Zayra Z Escobedo-Guajardo Brenda Leticia BL Dávila-Valero Julio César JC Rodríguez-de la Garza Brenda Ludmila BL Bermúdez de León Mario M

BMC geriatrics 20230310 1

<h4>Background</h4>One of the risk factors for getting seriously ill from COVID-19 and reaching high mortality rates is older age. Older age is also associated with comorbidities, which are risk factors for severe COVID-19 infection. Among the tools that have been evaluated to predict intensive care unit (ICU) admission and mortality is ABC-GOALScl.<h4>Aim</h4>In the present study we validated the utility of ABC-GOALScl to predict in-hospital mortality in subjects over 60 years of age who were p ...[more]

PMID: 36899318

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Project description:BackgroundEffectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures.ObjectivesIn this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs).Data sourcesElectronic databases PubMed and ProQuest EBook Central were searched to identify papers published from 1999 to date of search. We included publications which described prescriptive criteria for admission of adult inpatients to a clinical area with a higher level of care than a general hospital ward.Charting methodsData was extracted from each publication using a standardised data-charting form. Admission criteria characteristics were summarised and cross-tabulated for each criterion by population group.ResultsFive domains were identified: diagnosis-based criteria, clinical parameter criteria, organ-support criteria, organ-monitoring criteria and patient baseline criteria. Six clinical parameter-based criteria and five needs-based criteria were frequently proposed and represent variables extractable from EHRs. Thresholds for objective clinical parameter criteria varied across publications, and by disease subgroup, and universal cut-offs for criteria could not be elucidated.ConclusionsThis study identified multiple criteria which may represent markers of deterioration. Many of the criteria are extractable from the EHR, making them potential candidates for future automated systems. Variability in admission criteria and associated thresholds across the literature suggests clinical deterioration is a heterogeneous phenomenon which may resist being defined as a single entity via a consensus-driven process.

Dataset Information

ABC-GOALScl score predicts admission to the intensive care unit and mortality of COVID-19 patients over 60 years of age.

Background

Aim

Methods

Results

Conclusion

Publications

ABC-GOALScl score predicts admission to the intensive care unit and mortality of COVID-19 patients over 60 years of age.

Similar Datasets

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