| Literature DB >> 35766187 |
Masumeh Bayat1, Seyed Ahmad Raeissadat1, Shervin Lashgari1, Najmeh Sadat Bolandnazar1, Seyed Nima Taheri2, Mohammad Soleimani3.
Abstract
BACKGROUND ANDEntities:
Keywords: COVID-19; functional status; rehabilitation; risk factor
Mesh:
Year: 2022 PMID: 35766187 PMCID: PMC9350172 DOI: 10.1002/pri.1965
Source DB: PubMed Journal: Physiother Res Int ISSN: 1358-2267
FIGURE 1Flow diagram of the study inclusion and exclusion
Characteristic features of the hospitalized COVID‐19 patients
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|---|---|
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| 53.2 (13.1) |
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| Male | 49 |
| Female | 51 |
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| Illiterate | 23 |
| Low education level | 47 |
| High education level | 30 |
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| Housewife | 39 |
| Retired | 12 |
| Employed | 49 |
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| 59 |
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| 24.6 (3.1) |
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| 7.8 (3.3) |
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| 5.3 (2.5) |
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| 2.8 (1.3) |
Note: Quantitative data are presented as mean (SD).
Changes in FIM score and its subscales up to 3 months after hospitalization for COVID‐19
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|---|---|---|---|---|---|
| Total FIM | 107.2 (17.4) | 113.3 (14.9) | 120.3 (10.2) | 124.3 (6.4) | < 0.001 |
| Motor function | 73.4 (16.5) | 78.9 (14.1) | 85.4 (10.1) | 88.3 (6.4) | < 0.001 |
| Self‐care | 33.2 (9.2) | 35.9 (7.6) | 39.3 (5.3) | 40.5 (3.5) | < 0.001 |
| Sphincter control | 14.0 (0.2) | 13.9 (1.0) | 13.9 (0.6) | 14.0 (0.1) | 0.32 |
| Transfers | 16.7 (4.8) | 18 (3.9) | 19.6 (3.1) | 20.3 (2.1) | < 0.001 |
| Locomotion | 9.5 (3.4) | 11.1 (2.7) | 12.5 (2.2) | 13.4 (1.4) | < 0.001 |
| Cognitive function | 33.8 (2.2) | 34.4 (1.7) | 34.8 (0.6) | 35.0 (0) | < 0.001 |
| Communication | 13.5 (1.1) | 13.8 (0.7) | 13.9 (0.2) | 14.0 (0) | 0.03 |
| Social cognition | 20.3 (1.4) | 20.6 (1.2) | 20.8 (0.6) | 21.0 (0) | 0.01 |
Note: Data are demonstrated as mean (SD). p < 0.05 is considered significant.
FIGURE 2Continuous improvement of functional independence score over 3 months
FIGURE 3Continuous improvement of post‐COVID‐19 functional status over 3 months
Multiple regression analysis shows the predictive value of demographic and hospitalization factors on the functional independence measure (FIM) score
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|---|---|---|---|---|
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| Age | 1.923 | 0.031 | 1.143 | 3.129 |
| Sex | 1.671 | 0.048 | 0.117 | 1.99 |
| BMI | 1.228 | 0.28 | 0.765 | 2.113 |
| Education | 1.056 | 0.82 | 0.701 | 1.229 |
| Occupation | 0.998 | 0.85 | 0.654 | 1.091 |
| Comorbidity | 1.202 | 0.09 | 0.872 | 0.1651 |
| Length of hospital stay | 1.439 | 0.04 | 1.303 | 2.533 |
| Length of ICU stay | 2.131 | 0.01 | 1.245 | 3.389 |
| Intubation period | 1.287 | 0.11 | 0.897 | 2.432 |
Multiple regression analysis shows the predictive value of demographic and hospitalization factors on the post‐COVID‐19 function (PCFS) score
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|---|---|---|---|---|
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| Age | 1.727 | 0.027 | 1.221 | 2.996 |
| Sex | 1.084 | 0.41 | 0.569 | 1.345 |
| BMI | 1.102 | 0.36 | 0.689 | 1.187 |
| Education | 1.002 | 0.78 | 0.839 | 1.441 |
| Occupation | 1.091 | 0.77 | 0.692 | 1.501 |
| Comorbidity | 1.192 | 0.11 | 0.826 | 1.721 |
| Length of hospital stay | 1.648 | 0.032 | 0.1421 | 2.845 |
| Length of ICU stay | 2.321 | 0.023 | 1.456 | 3.578 |
| Intubation period | 1.199 | 0.21 | 0.882 | 1.983 |