| Literature DB >> 25018986 |
Alfonso M Cueto-Manzano1, Héctor R Martínez-Ramírez1, Laura Cortés-Sanabria1.
Abstract
Negative lifestyle habits (potential risks for chronic kidney disease, CKD) are rarely modified by physicians in a conventional health-care model (CHCM). Multidisciplinary strategies may have better results; however, there is no information on their application in the early stages of CKD. Thus, the aim of this study was to compare a multiple intervention model versus CHCM on lifestyle and renal function in patients with type 2 diabetes mellitus and CKD stage 1-2. In a prospective cohort study, a family medicine unit (FMU) was assigned a multiple intervention model (MIM) and another continued with conventional health-care model (CHCM). MIM patients received an educational intervention guided by a multidisciplinary team (family physician (FP), social worker, dietitian, physical trainer); self-help groups functioned with free activities throughout the study. CHCM patients were managed only by the FP, who decided if patients needed referral to other professionals. Thirty-nine patients were studied in each cohort. According to a lifestyle questionnaire, no baseline differences were found between cohorts, but results reflected an unhealthy lifestyle. After 6 months of follow-up, both cohorts showed significant improvement in their dietary habits. Compared to CHCM diet, exercise, emotional management, knowledge of disease, and adherence to treatment showed greater improvement in the MIM. Blood pressure decreased in both cohorts, but body mass index, waist circumference, and HbA1C significantly decreased only in MIM. Glomerular filtration rate (GFR) was maintained equally in both cohorts, but albuminuria significantly decreased only in MIM. In conclusion, MIM achieves better control of lifestyle-related variables and CKD risk factors in type 2 diabetes mellitus (DM2) patients with CKD stage 1-2. Broadly, implementation of a MIM in primary health care may produce superior results that might assist in preventing the progression of CKD.Entities:
Keywords: CKD; conventional health-care model; multidisciplinary intervention model; primary health care
Year: 2013 PMID: 25018986 PMCID: PMC4089658 DOI: 10.1038/kisup.2013.16
Source DB: PubMed Journal: Kidney Int Suppl (2011) ISSN: 2157-1716
Comparison of baseline demographic variables between patients of both cohorts
| Age (years) | 62±11 | 61±10 | 0.64 |
| Male gender, | 24 (53) | 29 (57) | 0.73 |
| Illiteracy, | 8 (17) | 4 (8) | 0.88 |
| Smoking, | 9 (20) | 9 (18) | 0.43 |
| Alcoholism, | 6 (13) | 8 (16) | 0.89 |
| Duration of diabetes (years) | 13 (7–15) | 14 (7–18) | 0.67 |
| Hypertension, | 31 (69) | 38 (74) | 0.54 |
| Duration of hypertension (years) | 7 (3–13) | 8 (3–14) | 0.89 |
| Diabetes | 31 (69) | 43 (84) | 0.10 |
| Hypertension | 11 (24) | 13 (25) | 0.95 |
| CKD | 7 (15) | 9 (18) | 0.78 |
Abbreviations: CHCM, conventional health-care model; MIM, multiple intervention model.
Comparison of lifestyle patterns between patients of both cohorts
| Knowledge of disease | 2.8±2.9 | 5.4±2.7*,† | 3.6±2.4 | 4.5±2.5 | 8 |
| Adherence to treatment | 11.3±4.5 | 13.8±3.0 | 12.2±3.7 | 12.5±3.4 | 16 |
| Emotion management | 7.3±3.5 | 9.8±3.2*,† | 5.7±3.3 | 6.3±3.7 | 12 |
| Exercise | 6.0±4.0 | 7.3±3.4*,† | 5.9±4.0 | 5.8±3.5 | 12 |
| Tobacco consumption | 7.6±1.4 | 8.0±0† | 6.9±2.4 | 7.2±1.7 | 8 |
| Alcohol consumption | 6.6±2.3 | 7.6±1.2*,† | 6.2±2.7 | 6.7±2.1 | 8 |
| Diet | 25.5±5.7 | 29.7±3.7*,† | 24.6±5.1 | 27.9±3.9* | 36 |
| Total | 66.5±12.5 | 79.5±10.0*,† | 65.5±11.5 | 71.7±10.8* | 100 |
Abbreviations: CHCM, conventional health-care model; MIM, multiple intervention model.
*P<0.05 versus baseline of the same cohort. †P<0.05 versus same evaluation of the CHCM cohort.
Comparison of clinical and biochemical variables between patients of both cohorts
| Systolic blood pressure (mm Hg) | 150±25 | 140±30* | 157±22 | 144±21* |
| Diastolic blood pressure (mm Hg) | 82±11 | 77±11* | 83±11 | 78±9* |
| Body mass index (kg/m2) | 27.9±4.4 | 27.0±4.3*,† | 29.6±4.9 | 29.3±5.5 |
| Waist circumference (cm) | 99±11 | 96±11* | 100±11 | 100±12 |
| HbA1C (%) | 10.2±2.2 | 9.1±2.4* | 9.4±2.3 | 9.6±2.3 |
| Cholesterol total (mg/dl) | 202 (177–235) | 194 (169–226) | 196 (175–219) | 195 (167–220) |
| HDL-cholesterol (mg/dl) | 44 (38–54) | 43 (36–52) | 41 (35–47) | 41 (35–49) |
| LDL-cholesterol (mg/dl) | 122 (93–139) | 116 (90–136) | 110 (96–132) | 112 (90–129) |
| Triglycerides (mg/dl) | 177 (119–266) | 166 (127–214) | 174 (130–238) | 180 (135–266) |
| Uric acid (mg/dl) | 5.4±1.7 | 5.7±1.3 | 5.1±1.7 | 5.6±1.8* |
Abbreviations: CHCM, conventional health-care model; HDL, high-density lipoprotein; LDL, low-density lipoprotein; MIM, multiple intervention model.
*P<0.05 versus baseline of the same cohort. †P<0.05 versus same evaluation of the CHCM cohort.
Figure 1Comparison of renal function at baseline and at the end of the follow-up. Comparison of GFR (a) and albuminuria/creatinuria ratio (b) between cohorts at baseline and the end of the follow-up.