| Literature DB >> 26762327 |
Itziar Vergara1, Kalliopi Vrotsou2, Miren Orive3, Susana Garcia-Gutierrez4, Nerea Gonzalez5, Carlota Las Hayas6,7, Jose M Quintana8.
Abstract
BACKGROUND: Wrist fractures are the most common arm fractures in older adults. The impact of wrist fractures on daily functionality has been less studied than that of other types and so, less is known about the complexity of factors related to the functional impact of these fractures. This study is aimed to assess the role of individual and health care factors and its association with daily living functional changes after a wrist fracture.Entities:
Mesh:
Year: 2016 PMID: 26762327 PMCID: PMC4712463 DOI: 10.1186/s12877-015-0176-z
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Fig. 1Flow chart of the recruitment and follow-up process. Flow chart representing the number of patients at recruitment, baseline and the 6-month follow up. Causes of loss to follow-up, and completion of functional status assessments are included
Fig. 2Difference pre-post in Barthel Index and Lawton and Brody IADL Scale
Baseline characteristics of the sample
| Variable | Total ( |
|---|---|
| Age; mean(SD) | 76.5 (7.0) |
| Sex | |
| Female | 603 (89) |
| Charlson Index | |
| 0 | 78 (12) |
| 1 | 144 (22) |
| ≥2 | 441 (66) |
| Cardiovascular disease | |
| yes | 61 (9) |
| Lung disease | |
| yes | 67 (10) |
| Diabetes without complications | |
| yes | 72 (11) |
| Cerebrovascular disease | |
| yes | 37 (5) |
| Educational level | |
| Illiterate | 13 (2) |
| Able to read & write | 315 (47) |
| Primary education | 268 (40) |
| Secondary education | 54 (8) |
| University qualifications | 22 (3) |
| Way of living | |
| With a relative | 473 (70) |
| Along, receiving help | 158 (24) |
| Along | 42 (6) |
| Current medication use | |
| None | 82 (12) |
| 1-3 medications | 440 (65) |
| ≥4 medications | 155 (23) |
| Previous Falls | |
| No | 492 (73) |
| Yes, with fracture | 28 (4) |
Values in cells are frequency (percentage) unless otherwise stated. For variables with missing data frequencies do not add up to N. SD: standard deviation. For binary variables only one category is presented
Baseline characteristics of the sample as a function of subsequent deterioration in ability to perform any of BADL and IADL
| Variable | BADL performance | IADL performance | ||||
|---|---|---|---|---|---|---|
| No Deterioration ( | Deterioration ( |
| No Deterioration ( | Deterioration ( |
| |
| Age; mean(SD) | 74.9(6.3) | 81.3 (6.8) | <0.0001 | 74.8 (6.3) | 81.6 (6.5) | <0.0001 |
| Sex | ||||||
| Female | 450 (99) | 153 (99) | 0.895 | 460 (90) | 143 (84) | 0.030 |
| Charlson Index | ||||||
| 0 | 68 (14) | 10 (6) | <0.0001 | 68 (13) | 10 (6) | <0.0001 |
| 1 | 123 (25) | 21 (13) | 124 (25) | 20 (12) | ||
| ≥2 | 306 (61) | 135 (81) | 308 (62) | 133 (82) | ||
| Current medication use | ||||||
| None | 73 (15) | 9 (5) | <0.0001 | 75 (15) | 7 (4) | <0.0001 |
| 1-3 medications | 341 (67) | 99 (58) | 340 (67) | 100 (59) | ||
| ≥4 medications | 92 (18) | 63 (37) | 93 (18) | 62 (37) | ||
| Educational level | ||||||
| Illiterate | 7 (2) | 6 (3) | 0.009 | 7 (1) | 6 (4) | 0.017 |
| Able to read & write | 225 (45) | 90 (54) | 227 (45) | 88 (53) | ||
| Primary education | 205 (40) | 63 (37) | 205 (41) | 63 (38) | ||
| Secondary education | 46 (9) | 8 (5) | 48 (9) | 6 (4) | ||
| University qualifications | 21 (4) | 1 (1) | 19 (4) | 3 (1) | ||
| Previous Falls | ||||||
| No | 385 (77) | 107 (63) | <0.0001 | 386 (76) | 106 (63) | 0.003 |
| Yes without fractures | 105 (21) | 47 (27) | 99 (20) | 53 (32) | ||
| Yes, with fracture | 11 (2) | 17 (10) | 19 (4) | 9 (5) | ||
| Performed treatment | ||||||
| Surgery | 91 (18) | 18 (11) | 0.022 | 94 (19) | 15 (9) | 0.003 |
| Referral for rehabilitation | ||||||
| No | 369 (73) | 136 (80) | 0.066 | 365 (72) | 140(83) | 0.003 |
| Patient-reported measures of HRQoL and functionality: mean (SD) | ||||||
| SF-12: PCS | ||||||
| Pre fall | 49.2 (8.6) | 39.1 (10.9) | <0.0001 | 48.7 (9.1) | 40.7 (11.1) | <0.0001 |
| Difference (post-pre) | −6.9 (10.6) | −9.8 (11.1) | 0.007 | −7.3 (10.7) | −8.7 (11.1) | 0.173 |
| SF-12: MCS | ||||||
| Pre fall | 52.8 (8.5) | 48.6 (11.0) | <0.0001 | 52.9 (8.6) | 48.5 (10.6) | <0.0001 |
| Difference (post-pre) | −0.9 (10.8) | −4.5 (13.0) | 0.003 | −1.1 (10.8) | −3.8 (13.2) | 0.031 |
| Quick DASH | ||||||
| Pre fall | 5.8 (10.7) | 20.6 (20.2) | <0.0001 | 6.3 (11.0) | 19.3 (20.8) | <0.0001 |
| Difference (pre-post) | −18.7 (22.1) | −29.9 (27.3) | <0.0001 | −19.7 (22.5) | −26.9 (27.4) | 0.002 |
| Lawton | ||||||
| Pre Fall | 7.4 (1.4) | 4.7 (2.8) | <0.0001 | - | - | |
| Difference (post-pre) | −0.03 (1.16) | −1.0 (2.1) | <0.0001 | - | - | |
| Barthel | ||||||
| Pre fall | - | - | 99 (5) | 87 (20) | <0.0001 | |
| Difference (post-pre) | - | -- | −1.0 (5.9) | −17.0 (22.1) | <0.0001 | |
Values in cells are frequency (percentage) unless otherwise stated. For variables with missing data frequencies do not add up to N. SD: standard deviation. Basic activities of daily living (BADL) were assessed through the Barthel Index; BADL was considered to have deteriorated if post-fall scores were <90 points or a pre-post score decrease of more than 10 % has occurrred. Instrumental activities of daily living (IADL) were assessed by the Lawton Scale; IADL was considered to have deteriorated when post-fall scores of <5 points were observed or a pre-post score decrease of 2 points occurred. For binary variables only one category is presented
Multivariate logistic regression models for BADL and IADL assessment at six months
| BADL model | IADL model | |||
|---|---|---|---|---|
| Variable | OR (95 % CI) |
| OR (95 % CI) |
|
| Age | 1.12 (1.09, 1.16) | <0.0001 | 1.15 (1.11, 1.19) | <0.0001 |
| Sex | ||||
| Male | Ref. | - | Ref. | - |
| Female | 0.91 (0.46, 1.78) | 0.771 | 0.37 (0.20, 0.69) | 0.002 |
| Cardiovascular disease | ||||
| No | Ref. | - | - | - |
| Yes | 2.35 (1.20, 4.63) | 0.013 | - | - |
| Baseline HRQoL | ||||
| SF-12 PCS | 0.51 (0.40, 0.66) | <0.0001 | 0.66 (0.51, 0.84) | 0.001 |
| SF-12 MCS | 0.63 (0.50, 0.79) | <0.0001 | 0.60 (0.48, 0.74) | <0.0001 |
| QuickDASH | 1.24 (1.04, 1.48) | 0.016 | 1.25 (1.05, 1.47) | 0.011 |
| Previous Falls | ||||
| No | Ref. | - | - | - |
| Yes without fractures | 0.91 (0.54, 1.53) | 0.723 | ||
| Yes with fractures | 3.09 (1.06, 8.99) | 0.038 | - | - |
| Goodness–of-fit statistics | ||||
| Hosmer-Lemeshow |
|
| ||
| R square / Adjusted R square | 0.285/0.420 | 0.260/0.385 | ||
| AUC | 0.847 | 0.839 | ||
OR Odds Ratio, 95 % CI 95 % Confidence Interval. BADL model: multivariate model considering status at six months (deteriorated or not) based on ability to perform basic activities of daily living (BADL) as assessed assessed through the Barthel Index; BADL was considered to have deteriorated if post-fall scores were <90 points or a pre-post score decrease of more than 10 % has occurrred. IADL model: multivariate model considering status at six months based on ability to perform instrumental activities of daily living (IADL) as assessed by the Lawton Scale; IADL was considered to have deteriorated when post-fall scores of <5 points were observed or a pre-post score decrease of 2 points occurred. Estimates presented: for age refer to 1-unit increases; and for baseline health-related quality of life (HRQoL) refer to 10-unit increases in the respective score scales. SF-12 PCS (SF-12 physical component summary); SF-12 MCS (SF-12 mental component summary); AUC (area under the curve)