| Literature DB >> 33868435 |
Yujuan Song1, Xuebing Wang2, Friedrich Schubert3.
Abstract
PURPOSE: Retrospective analysis of the clinical effect of acupuncture on insomnia after ischemic stroke by using a wireless sleep monitor as an innovative evaluation method.Entities:
Year: 2021 PMID: 33868435 PMCID: PMC8035007 DOI: 10.1155/2021/5524622
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
ICF first qualifier generic scale.
| Value | Problem severity | Impact of the problem | Occurrence frequency % |
|---|---|---|---|
| 0 | No problem | Can be ignored, negligible | 0–4 |
| 1 | Mild | A little | 5–24 |
| 2 | Moderate | Medium | 25–49 |
| 3 | Severe | High, very much | 50–95 |
| 4 | Completely | Totally | 96–100 |
| 8 | Unspecified | Lack of sufficient information | |
| 9 | Not applicable | Unsuited |
Numerical Rating Scale (NRS).
|
|
Level 0: the above NRS score is 0. Level 1: the above NRS score is 1-2. Level 2: the above NRS score is 3–5. Level 3: the above NRS score is 6–9. Level 4: the above NRS score is 10. Level 8: unspecified. Level 9: not applicable.
Baseline of data.
| Acu. group | Ctrl. group | Total | |
|---|---|---|---|
|
| 57 | 48 | 105 |
| Age (mean) | 52.06 | 50.77 | 51.69 |
| Age (SD) | 12.25 | 16.04 | 17.22 |
| Male ( | 31 | 27 | 58 |
| Female ( | 26 | 21 | 47 |
| Living alone ( | 6 | 3 | 9 |
| Living with others ( | 51 | 45 | 96 |
| Still working ( | 49 | 37 | 86 |
| Disease course (max) | 24 w | 24 w | 24 w |
| Disease course (min) | 2 w | 2 w | 2 w |
| Disease course (mean) | 13.61w | 12.18 w | 13.49 w |
| Disease course (SD) | 12.73 | 9.82 | 13.50 |
| Hospitalization days (max) | 28 d | 32 d | 29 d |
| Hospitalization days (min) | 7 d | 7 d | 7 d |
| Hospitalization days (mean) | 26.43 | 25.71 | 26.33 |
| Hospitalization days (SD) | 5.00 | 4.92 | 4.27 |
ActiSleep-BT data comparison.
| Acu. group | Ctrl. group | |||||
|---|---|---|---|---|---|---|
| Before t. | During t. | After t. | Before t. | During t. | After t. | |
|
| 57 | 57 | 57 | 48 | 48 | 48 |
| SE% (mean) | 77.26 | 83.62 | 85.17 | 78.33 | 79.07 | 79.62 |
| SE% (SD) | 6.11 | 7.00 | 8.61 | 7.10 | 6.99 | 6.57 |
| TST (min) (mean) | 351.81 | 411.63 | 468.52 | 363.20 | 408.73 | 416.84 |
| TST (min) (SD) | 99.30 | 121.84 | 109.71 | 130.64 | 122.44 | 127.02 |
| SA (mean) | 18.15 | 17.71 | 14.20 | 19.05 | 16.79 | 17.83 |
| SA (SD) | 10.08 | 9.37 | 7.51 | 11.17 | 10.86 | 12.09 |
Data comparison of PSQI and ICF.
| Acu. group | Ctrl. group | |||
|---|---|---|---|---|
| Before t. | After t. | Before t. | After t. | |
|
| 57 | 57 | 48 | 48 |
| PSQI (mean) | 12.94 | 10.77 | 12.05 | 11.83 |
| PSQI (SD) | 4.72 | 3.08 | 6.42 | 5.50 |
| ICF b134 (mean) | 2.89 | 1.04 | 2.75 | 1.84 |
| ICF b134 (SD) | 1.05 | 1.31 | 1.62 | 1.96 |
| ICF b152 (mean) | 2.79 | 0.68 | 2.66 | 1.27 |
| ICF b152 (SD) | 1.17 | 1.29 | 1.38 | 1.54 |