ABSTRACT
Objective:To explore the correlation between socioeconomic status (SES) and diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D).Methods:A total of 276 T2D patients admitted to the Second Affiliated Hospital of Nanjing Medical University from January to June 2020 were enrolled in this cross-sectional study. The estimated glomerular filtration rate (eGFR) was calculated according to the urinary albumin/creatinine ratio (UACR) and the chronic kidney disease epidemiology collaboration equation(CKD-EPI formula) based on serum creatinine. The patients were divided into simple T2D group (184 cases) and DKD group (92 cases). Collect demographic and laboratory examination data, record education, income and occupation, and calculate standardized SES scores. According to SES scores, subjects were divided in three levels: SES≤9, SES≥10-≤12, and SES≥13. Student's t test was used for comparison of measurement data with normal distribution between two groups, and one-way ANOVA was used for comparison between multiple groups. Non-normal distribution was represented by M( Q1, Q3), and rank-sum test was used for comparison between groups. Counting data were expressed as frequency or percentage, and chi-square test was used for comparison between groups. Bofferoni test was further used for pairwise comparison of indicators with statistical significance among multiple groups. Spearman correlation analysis was used to analyze the correlation between variables. The risk factors were analyzed by binary Logistic regression. Results:The age of the subjects was (53.37±10.68) years, men accounted for 55.8% (154/276), the duration of diabetes was 60.00 (12.00, 134.00) months, and eGFR was (97.56±21.15) mL/(min·1.73 m 2). In simple T2D group and DKD group, prevalence of hypertension were 39.7% (73/184) and 57.6% (53/92), systolic blood pressure were (129.43±14.92) mmHg and (139.29±17.61) mmHg, diastolic blood pressure were (81.86±10.06) mmHg and (87.74±11.19) mmHg, serum albumin were (45.74±4.15) g/L and (43.99±5.05) g/L, triglycerides were (1.82±1.24) mmol/L and (2.64±2.92) mmol/L, high density lipoprotein cholesterol were (1.17±0.37) mmol/L and (1.07±0.26) mmol/L, serum uric acid were (298.44±90.73) μmol/L and (336.22±94.01) μmol/L, serum creatinine were (62.83±14.45) μmol/L and (87.75±57.37) μmol/L, eGFR were (102.6±14.28) mL/(min·1.73 m 2) and (87.47±28.04) mL/(min·1.73 m 2), UACR were (7.60 (4.63, 13.15)) mg/g and (93.95 (47.25, 310.25)) mg/g. Prevalence of hypertension, systolic blood pressure, diastolic blood pressure, triglycerides, serum uric acid, serum creatinine, UACR in DKD group were higher than those in simple T2D group. Serum albumin, high density lipoprotein cholesterol and eGFR in DKD group were lower than those in simple T2D group. There was significant difference between the two groups ( χ2=7.95, t values were 4.87, 4.40, 3.04, 3.26, 2.30, 3.22, 5.56, 5.95, Z=13.07, P values were 0.005, <0.001, <0.001, 0.003, 0.001, 0.022, 0.001, <0.001, <0.001, and <0.001, respectively). The number of males in the three groups with SES ≥13 group, SES≥10-≤12 group, SES ≤9 group were 61 (81.3%, 61/75), 55 (59.8%, 55/92), 38 (34.9%, 38/109), respectively. The number of cases with smoking history were 42 (56.0%, 42/75), 41 (44.6%, 41/92), 35 (32.1%, 35/109), respectively. The number of cases with drinking history were 38 (50.7%, 38/75), 32 (34.8%, 32/92), 26 (23.9%, 26/109), respectively. The ages were (47.77±10.76), (52.76±11.22), (57.74±7.96) years old, respectively. Body mass index (BMI) were (26.17±3.87), (24.96±3.93), (24.27±4.89) kg/m 2, respectively. High density lipoprotein cholesterol (HDL) were (1.03±1.03), (1.16±0.41), (1.21±0.32) mmol/L, respectively. Serum uric acid were (336.56±82.05), (293.78±94.78), (307.99±96.53) μmol/L, respectively. EGFR were (105.03±19.72), (99.77±19.44), (90.57±21.49) mL/(min·1.73 m 2),respectively.The difference between groups were statistically significant (χ 2=39.79, 10.55, 14.08, F=22.69, 4.03, 6.20, 4.53, 12.02, P values were <0.001, 0.005, 0.001, <0.001, 0.019, 0.002, 0.012, and <0.001, respectively). Pairwise comparison shows that male and eGFR in SES ≤9 group were lower than those in SES ≥13 group and SES≥10-≤12 group, age in SES ≤9 group was higher than that in SES ≥13 group and SES≥10-≤12 group. The difference was statistically significant (all P<0.05). Smoking history, alcohol history and BMI in SES ≤9 group were lower than those in SES ≥13 group, and the high density lipoprotein cholesterol in SES ≤9 were higher than that in SES ≥13 group. The difference was statistically significant (all P<0.05). Male, alcohol history and serum uric acid in SES≥10-≤12 group were lower than those in SES ≥13 group, and age and high density lipoprotein cholesterol in SES≥10-≤12 group were higher than those in SES ≥13 group. The difference was statistically significant (all P<0.05). Spearman correlation analysis showed that SES in T2D was positively correlated with male, smoking history, alcohol history, BMI, serum uric acid and eGFR ( r values were 0.38, 0.20, 0.24, 0.16, 0.13 and 0.31, P values were <0.001, 0.001, <0.001, 0.008, 0.028, and <0.001, respectively), and negatively correlated with age, high density lipoprotein cholesterol and UACR ( r values were -0.35, -0.24 and -0.14, P values were <0.001, <0.001, and 0.017, respectively). Logistic regression analysis showed that SES (OR=2.71,95% CI:1.10-6.68, P=0.031) was associated with T2DM combined with DKD. The risk of developing DKD increased when the SES was ≤9. Conclusion:The SES in patients with type 2 diabetes is closely related to DKD. Low SES may be a new risk factor for DKD in type 2 diabetic patients.
ABSTRACT
Objective:To evaluate the prognostic value of combined detection of platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and squamous cell carcinoma antigen (SCC) for patients with advanced cervical squamous cell carcinoma undergoing radical radiotherapy.Methods:Clinical data of 127 patients with advanced cervical squamous cell carcinoma who received radical radiotherapy in the Affiliated Tumor Hospital of Nantong University from January 2016 to February 2019 were analyzed retrospectively. The enrolled cases were divided into the survival group and death group according to the survival at the end of 3 years after treatment. The laboratory indexes of peripheral blood were collected before treatment, PLR and NLR were calculated, and the differences of clinical parameters were compared between two groups. The prediction model was established, and the prediction efficiency of PLR, NLR and SCC alone and combined prediction models for 3-year overall survival (OS) in patients with advanced cervical squamous cell carcinoma was compared through the ROC curve. Univariate and multivariate analyses of prognosis were carried out by binary logistic regression model.Results:A total of 127 patients with advanced cervical squamous cell carcinoma were included in the study. There were 96 cases in the survival group and 31 cases in the death group. There were significant differences between two groups in FIGO stage, longest diameter of tumor, lymph node metastasis, PLR, NLR and SCC (all P<0.05). The area under ROC curve (AUC) of PLR, NLR and SCC was 0.660, 0.712 and 0.700, respectively. The AUC of PLR+NLR+SCC combined prediction model was increased to 0.784. Logistic multivariate analysis showed that FIGO Ⅲ, FIGO Ⅳ, lymph node metastasis, PLR≥205.555, NLR≥3.060 and SCC≥6.950 ng/ml were the independent risk factors for 3-year OS in patients with advanced cervical squamous cell carcinoma (all P<0.05). Conclusions:PLR, NLR and SCC have good value in predicting the 3-year OS of patients with advanced cervical squamous cell carcinoma, and the combined prediction model of PLR+NLR+SCC has higher prediction value.
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Objectives:To investigate the epidemiological features and associated factors of chronic renal insufficiency (CRI) in Binhai county from Jiangsu province.Methods:This is a cross-sectional study including individuals aged≥18 years old and participating in health examinations of Binhai county from January to December 2018. Medical records were collected to analyze the epidemiology of CRI [estimated glomerular filtration rate <60 ml·min -1·(1.73 m 2) -1]. Multivariate logistic regression was used to analyze the associated influencing factors of CRI. Results:A total of 395 541 individuals residing in Binhai county were enrolled, with 190 258 males (48.1%) and age of (55.34±15.12) years old. The overall crude prevalence of CRI was 2.04% (8 065/395 541, 95% CI 2.00%-2.08%) in this adult population. Furthermore, the age- and gender-standardized overall prevalence of CRI was 1.22% (95% CI 1.18%-1.25%), with a rate of 1.47% (4 676/205 283, 95% CI 1.42%-1.52%) in women and a rate 0.95% (3 389/190 258, 95% CI 0.91%-1.00%) in men. There was a strong positive correlation between the risk of CRI and age (per 10-year increase, OR=2.449, 95% CI 2.402-2.497). Compared with individuals <30 years old, the OR of CRI in individuals aged 60-69, 70-79 and ≥80 years old were 3.827 (95% CI 3.010-4.864), 12.004 (95% CI 9.457-15.239) and 44.636 (95% CI 35.187-56.622) respectively. Females ( OR=1.142, 95% CI 1.083-1.203), increasing systolic blood pressure (per 10 mmHg increase, OR=1.062, 95% CI 1.048-1.076), increasing heart rate (per 10-beat/min increase, OR=1.071, 95% CI 1.044-1.098), elevating triglyceride (per 1.33 mmol/L increase, OR=1.140, 95% CI 1.119-1.162), elevating fasting blood glucose (5.6-6.9 mmol/L/<5.6 mmol/L, OR=1.158, 95% CI 1.086-1.233; ≥7 mmol/L/<5.6 mmol/L, OR=1.387, 95% CI 1.296-1.484) and central obesity ( OR=1.126, 95% CI 1.068-1.187) were independent risk factors for CRI. Conclusions:The age- and gender-adjusted prevalence of CRI in adults in Binhai county is 1.22%. Older age, females, central obesity, and high levels of triglyceride, systolic blood pressure, heart rate and fasting glucose are independent associated factors of CRI.