RESUMO
Background: Rheumatoid arthritis (RA) is a multidimensional disease. In addition to quantitative factors, qualitative factors play an important role in the progress and outcome of the diseases. One of the most effective methods of collecting qualitative information is questionnaires reported by patients. The data obtained from the questionnaires are as important as the clinical criteria. Multidimensional health assessment questionnaire (MDHAQ) is one of the latest questionnaires that provide useful information in a short time. Objectives: To investigate the reliability and validity of the Persian form of MDAHAQ for the use of Iranian patients. Method: Two groups of participants were selected for this study. The validity test group included 110 patients, and the reliability test group included 140 patients. Translation and adaption of MDHAQ were performed by using Guillemin guidelines. The reliability was tested by using test-retest and Cronbach's alpha for internal consistency. Persian version of the health assessment questionnaire (HAQ) was used for assessing the criterion validity. The correlation between the MDHAQ score and Disease Activity Score-28 (DAS28), Clinical Disease Activity Index (CDAI), and the Persian version of the health assessment questionnaire (HAQ) was evaluated using the Spearman coefficient. Discriminant validity was tested in groups of patients based on two varied disease activities based on CDAI and DAS28. Results: Test-retest with intra-class correlation coefficient (ICC) gave a coefficient of 0.865(95% CI: 0.809, 0.904) for physical function and 0.786(95% CI: 0.698, 0.848) for psychological items. Cronbach's alpha was 0.885 and 0.705 for physical function and psychological dimensions respectively. The Persian version of the MDHAQ had a good to strong correlation with the Persian version of the HAQ (ranging from 0.604 to 0.962) and also with CDAI (ranging from 0.616 to 0.838) and a moderate correlation with DAS28 (ranging from 0.415 to 0.439). Conclusion: The Persian form of MDHAQ is a reliable and valid instrument for the routine evaluation of RA patients in rheumatology clinics in Iranian RA patients.
RESUMO
BACKGROUND: Corona Virus Disease 2019 (COVID-19) presentations range from those similar to the common flu to severe pneumonia resulting in hospitalization with significant morbidity and/or mortality. In this study, we made an attempt to develop a predictive scoring model to improve the early detection of high risk COVID-19 patients by analyzing the clinical features and laboratory data available on admission. METHODS: We retrospectively included 480 consecutive adult patients, aged 21-95, who were admitted to Faghihi Teaching Hospital. Clinical and laboratory features were collected from the medical records and analyzed using multiple logistic regression analysis. The final data analysis was utilized to develop a simple scoring model for the early prediction of mortality in COVID-19 patients. The score given to each associated factor was based on the coefficients of the regression analyses. RESULTS: A novel mortality risk score (COVID-19 BURDEN) was derived, incorporating risk factors identified in this cohort. CRP (> 73.1 mg/L), O2 saturation variation (greater than 90%, 84-90%, and less than 84%), increased PT (> 16.2 s), diastolic blood pressure (≤ 75 mmHg), BUN (> 23 mg/dL), and raised LDH (> 731 U/L) were the features constituting the scoring system. The patients are triaged to the groups of low- (score < 4) and high-risk (score ≥ 4) groups. The area under the curve, sensitivity, and specificity for predicting mortality in patients with a score of ≥ 4 were 0.831, 78.12%, and 70.95%, respectively. CONCLUSIONS: Using this scoring system in COVID-19 patients, the patients with a higher risk of mortality can be identified which will help to reduce hospital care costs and improve its quality and outcome.