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1.
Sci Rep ; 12(1): 17651, 2022 10 21.
Article in English | MEDLINE | ID: mdl-36271111

ABSTRACT

Frailty is associated with mortality in maintenance dialysis patients. For incident dialysis patients, we used the clinical frailty scale (CFS) to investigate frailty as related to mortality or hospitalization within 2 years. We retrospectively reviewed the medical records of patients initiating hemodialysis or peritoneal dialysis during 2016-2018. Based on those records, two dialysis nurses independently used a 9-point CFS (1 = "Very fit" to 9 = "Terminally ill") to assess each patient's frailty at dialysis initiation. Patients with a mean CFS value of 5 or higher were classified into the frail group. The 2-year survival rates or hospitalization-free rates after the initiation of dialysis were compared between the frail (mean CFS score ≥ 5) and non-frail (mean CFS score < 5) groups. The analysis included 155 incident dialysis patients with mean age of 66.7 ± 14.1 (71% male). Frailty was inferred for 39 (25%) patients at dialysis initiation. Kaplan-Meier analyses showed that the survival rate and hospitalization-free rate within 2 years were significantly lower in the frail group than in the non-frail group (p < 0.01). Cox proportional hazards regression analyses revealed the CFS score as associated with the occurrence of a composite outcome, independently of age (hazard ratio 1.34, 95% confidence interval 1.04-1.72). Frailty assessment based on clinical judgment using CFS might predict adverse outcomes in dialysis-initiated patients.


Subject(s)
Frailty , Humans , Male , Middle Aged , Aged , Aged, 80 and over , Female , Frailty/epidemiology , Renal Dialysis , Retrospective Studies , Hospitalization , Geriatric Assessment
2.
J Diabetes Sci Technol ; 16(5): 1174-1182, 2022 09.
Article in English | MEDLINE | ID: mdl-34013766

ABSTRACT

BACKGROUND: Increased local skin temperature (hotspot) on a callus site as detected by thermography is a well-known precursor of diabetic foot ulcers. This study aimed to determine the factors associated with callus hotspots in order to predict the risk of callus hotspots and then provide information for specific interventions. METHODS: In this cross-sectional study, 1,007 patients' data from a diabetic foot prevention clinic between April 2008 and March 2020 were used. Data regarding patients' characteristics, foot calluses, and callus hotspots were collected and analyzed. Callus and callus hotspot were confirmed from foot photos and thermographs, respectively. A callus hotspot was defined as a relative increase in temperature compared to the skin surrounding the callus on the thermograph. Plantar pressure was measured with a pressure distribution measurement system. A generalized linear mixed model was used to identify the factors associated with callus hotspots. RESULTS: Among the 2,014 feet, 28.5% had calluses, and 18.5% of feet with calluses had callus hotspots. The factors associated with callus hotspots were number of calluses (Adjusted odds ratio (aOR): 1.540, P = .003), static forefoot peak plantar pressure (SFPPP) (aOR: 1.008, P = .001), and body mass index (aOR: 0.912, P = .029). CONCLUSIONS: Patients with a higher SFPPP were more likely to have callus hotspots suggesting that SFPPP might contribute to callus inflammation. SFPPP has the potential to be a useful predictor of callus hotspots in people with diabetes and at the same time provide information for off-loading interventions to prevent callus hotspots.


Subject(s)
Callosities , Diabetes Mellitus , Diabetic Foot , Cross-Sectional Studies , Foot , Humans , Skin Temperature
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