[Risk factors for clinical deterioration in patients admitted for COVID-19: A case-control study]. / Factores de riesgo de deterioro clínico en pacientes ingresados por COVID-19: estudio caso-control.

INTRODUCTION: There is controversy regarding the best predictors of clinical deterioration in COVID-19. OBJECTIVE: This work aims to identify predictors of risk factors for deterioration in patients hospitalized due to COVID-19. METHODS DESIGN: Nested case-control study within a cohort. Setting: 13 acute care centers of the Osakidetza-Basque Health Service. Participants: Patients hospitalized for COVID-19 with clinical deterioration-defined as onset of severe ARDS, ICU admission, or death-were considered cases. Two controls were matched to each case based on age. Sociodemographic data; comorbidities; baseline treatment; symptoms; date of onset; previous consultations; and clinical, analytical, and radiological variables were collected. An explanatory model of clinical deterioration was created by means of conditional logistic regression. RESULTS: A total of 99 cases and 198 controls were included. According to the logistic regression analysis, the independent variables associated with clinical deterioration were: emergency department O2 saturation ≤90% (OR 16.6; 95%CI 4-68), pathological chest X-ray (OR 5.6; 95%CI 1.7-18.4), CRP >100 mg/dL (OR 3.62; 95%CI 1.62-8), thrombocytopenia with < 150,000 platelets (OR 4; 95%CI 1.84-8.6); and a medical history of acute myocardial infarction (OR 15.7; 95%CI, 3.29-75.09), COPD (OR 3.05; 95%CI 1.43-6.5), or HT (OR 2.21; 95%CI 1.11-4.4). The model's AUC was 0.86. On the univariate analysis, female sex and presence of dry cough and sore throat were associated with better clinical progress, but were not found to be significant on the multivariate analysis. CONCLUSION: The variables identified could be useful in clinical practice for the detection of patients at high risk of poor outcomes.

Evaluation of the psychometric characteristics of the Spanish version of the Anorectic Behaviour Observation Scale.

AIMS: The Anorectic Behaviour Observation Scale (ABOS) was designed to obtain information from relatives about behaviours and attitudes of patients with eating disorders (ED). The aim of this study was to validate the ABOS into Spanish. METHODS: We evaluated the psychometric characteristics of the Spanish version of the ABOS in a clinical ED sample (239 caregivers of 143 ED patients). Instrument reliability (internal consistency), validity (construct, convergent and discriminant, known groups), responsiveness and goodness-of-fit were measured. RESULTS: Data from the Spanish population revealed a three-factor structure similar to that of the original ABOS, although the composition of subscales differed somewhat from the original. An ABOS cut-point of 21 was identified. The Cronbach's alpha coefficient for the total ABOS score was 0.81. Correlations with other instruments demonstrated convergent and divergent validity. Among caregivers, the total ABOS score and Factor scores significantly discriminated between anxiety, depression and health-related quality of life, while among ED patients they discriminated between diagnosis, severity and level of ED symptoms - evidence of known-groups validity. CONCLUSION: These findings suggest that the ABOS can be reliably and validly used in Spain in a number of different clinical contexts, by researchers and clinicians alike.

Risk factors for clinical deterioration in patients admitted for COVID-19: A case-control study.

INTRODUCTION: There is controversy regarding the best predictors of clinical deterioration in COVID-19. OBJECTIVE: This work aims to identify predictors of risk factors for deterioration in patients hospitalized due to COVID-19. METHODS DESIGN: Nested case-control study within a cohort. SETTING: 13 acute care centers of the Osakidetza-Basque Health Service. PARTICIPANTS: patients hospitalized for COVID-19 with clinical deterioration-defined as onset of severe ARDS, ICU admission, or death-were considered cases. Two controls were matched to each case based on age. Sociodemographic data; comorbidities; baseline treatment; symptoms; date of onset; previous consultations; and clinical, analytical, and radiological variables were collected. An explanatory model of clinical deterioration was created by means of conditional logistic regression. RESULTS: A total of 99 cases and 198 controls were included. According to the logistic regression analysis, the independent variables associated with clinical deterioration were: emergency department O2 saturation ≤90% (OR 16.6; 95%CI 4-68), pathological chest X-ray (OR 5.6; 95%CI 1.7-18.4), CRP > 100 mg/dL (OR 3.62; 95%CI 1.62-8), thrombocytopenia with <150,000 platelets (OR 4; 95%CI 1.84-8.6); and a medical history of acute myocardial infarction (OR 15.7; 95%CI, 3.29-75.09), COPD (OR 3.05; 95%CI 1.43-6.5), or HT (OR 2.21; 95%CI 1.11-4.4). The model's AUC was 0.86. On the univariate analysis, female sex and presence of dry cough and sore throat were associated with better clinical progress, but were not found to be significant on the multivariate analysis. CONCLUSION: The variables identified could be useful in clinical practice for the detection of patients at high risk of poor outcomes.

Prognostic severity scores for patients with COPD exacerbations attending emergency departments.

SETTING: Reported predictors of the adverse evolution of patients with chronic obstructive pulmonary disease exacerbations (eCOPD) are various and inconsistent in the bibliography. OBJECTIVE: To develop clinical prediction rules for short-term outcomes in eCOPD patients attending an emergency department (ED). DESIGN: Prospective cohort study of patients with an eCOPD. Short-term outcomes were admission to an intensive care unit (ICU), admission to an intermediate respiratory care unit (IRCU) and death in these groups. Multivariate logistic regression models were developed for each of the outcomes. RESULTS: Predictors of ICU or IRCU admission were use of long-term home oxygen therapy (LT-HOT) or non-invasive mechanical ventilation (NIMV), elevated PCO2 and decreased pH upon ED arrival (area under the curve [AUC] 0.87 in the derivation sample; 0.89 in the validation sample). Among those admitted to an ICU or IRCU, predictors of death were increased age, use at home of LT-HOT or NIMV, use of inspiratory accessory muscles upon ED arrival and altered Glasgow Coma Scale (<15 points) (AUC 0.78). CONCLUSIONS: Three clinical predictors available in the ED can be used to create a simple score to predict the need for intensive treatment among eCOPD patients. Such a score can be a tool for clinical practice.

Responsiveness and clinically important differences for the WOMAC and SF-36 after total knee replacement.

OBJECTIVES: To study responsiveness and establish the minimal clinically important differences (MCIDs) and minimal detectable change (MDC) in patients undergoing total knee replacement (TKR) using the Short Form 36 (SF-36) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). METHODS: Prospective observational study in three public hospitals of all consecutive patients on waiting lists to undergo TKR intervention with diagnosis of knee osteoarthritis (OA). Patients were asked to complete before the intervention and at 6 months and 2 years afterward the SF-36 and the WOMAC health-related quality of life questionnaires (HRQoL), and additional transition questions which measured the changes in their joint at 6 months. In both questionnaires the possible range of values is from 0 to 100 points. RESULTS: In WOMAC improvement at 6 months after a TKR was between 27 (stiffness) and 31 points (pain). The SF-36 showed improvements between the 28.3 points of role physical and 2.79 of general health. From 6 months to 2 years, WOMAC improvements were between 2 and 6 points. The MCID ranged from 14.52 (stiffness) to 22.87 (pain) on the WOMAC and in the physical domains of SF-36 from 11.56 (physical function) to 16.86 (bodily pain). On the WOMAC, the MDC ranged from 13.11 (function) to 29.12 (stiffness), and on SF-36 from 19.50 (physical function) to 41.23 (social functioning). CONCLUSIONS: The MCID for TKR is around 15 on WOMAC, while with the SF-36 of at least 10 points. These values should not be considered as absolute thresholds.

Responsiveness and clinically important differences for the WOMAC and SF-36 after hip joint replacement.

OBJECTIVES: To study responsiveness and establish the minimal clinically important differences (MCID) and minimal detectable change (MDC) in patients undergoing total hip replacement (THR) using the Short Form 36 (SF-36) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). METHODS: We conducted a prospective observational study in three public hospitals of all consecutive patients with a diagnosis of hip osteoarthritis (OA) on waiting lists to undergo THR. Patients completed the SF-36 and the WOMAC (subscales transformed to 0 to 100), which measured the health-related quality of life (HRQoL), before intervention and 6 months and 2 years later, and additional transitional questions, which measured the changes in the joint 6 months postoperatively. RESULTS: Improvements at 6 months after a THR were between 37 (stiffness) and 39 points (pain), depending on the WOMAC domain. The SF-36 domains also showed improvements: physical function (31.91), physical role (33.71), and bodily pain (29.77). From 6 months to 2 years, improvements ranged from 2 to 5 points, except for role physical (13.25). A ceiling effect was detected on some WOMAC domains as well as a floor effect on the SF-36. The MCID ranged from 25.91 (stiffness) to 29.26 (pain) on the WOMAC and from 10.78 (physical role) to 20.40 (physical function) on the SF-36. The MDC ranged from 21.38 (pain) to 27.98 (stiffness) on the WOMAC and from 18.99 (physical function) to 42.05 (social function) on the SF-36. CONCLUSIONS: These values indicate expected gains after THR. However, the MCID and MDC values must be viewed cautiously due to the uncertainty of these estimators and should not be considered as absolute thresholds.