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Low triiodothyronine syndrome can predict poor prognosis in peritoneal dialysis patients / 上海交通大学学报(医学版)
Journal of Shanghai Jiaotong University(Medical Science) ; (12): 1500-1505, 2017.
Article in Chinese | WPRIM | ID: wpr-663800
ABSTRACT
Objective· To investigate the prevalence of low triiodothyronine syndrome (LT3S) in peritoneal dialysis (PD) patients and to evaluate the predictive value of long-term prognosis. Methods · From Jan. 2009 to Dec. 2015, all patients who started PD for 3 months were enrolled. According to thyroid hormone levels, there were classified into LT3S group (218 cases) and normal T3group (259 cases). The association between FT3and mortality in PD patients was estimated using Cox risk regression model. Results · Compared to the patients in normal T3group, patients with LT3S had lower hemoglobin[(97.90±23.71)g/L vs(105.54±22.94)g/L],adjusted serum calcium[(2.06±0.35)mmol/L vs(2.17±0.27)mmol/L](all P<0.01).Patients with LT3S had higher BNP{[311.00(134.59,776.00)pg/mL]vs[159.00(58.28,378.75)pg/mL]},hrCRP{[2.85(0.95,6.81)mg/L]vs[1.34(0.54,3.32)mg/L]}and serum total cholesterol[(3.18±1.29)mmol/L vs(2.76±0.93)mmol/L]than that in patients with normal T3group(all P<0.01).LVMI of LT3S group [(154.16±58.15)g/m2] vs (125.24±42.67)g/m2] was much higher than that of normal T3group (P<0.01). Cox risk regression model indicated that FT3 was significantly associated with all-cause mortality(HR 0.51,95% CI 0.41-0.63;P<0.01)and cardiovascular mortality(HR 0.60,95% CI 0.45-0.81;P<0.01). Conclusion·LT3S is common in PD patients.Lower FT3was an independent risk factor of all-cause and cardiovascular mortality in PD patients.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Journal of Shanghai Jiaotong University(Medical Science) Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Risk factors Language: Chinese Journal: Journal of Shanghai Jiaotong University(Medical Science) Year: 2017 Type: Article