Objective:To investigate the effects of sleep quality on cognitive function in elderly patients undergoing hemodialysis.Methods:In this cross-sectional study, the cognitive function in hemodialysis patients was evaluated by Montreal Cognitive Assessment(MoCA)and the sleep quality was accessed by Pittsburgh sleep quality index(PSQI). The related indexes of cognitive function were compared and the relationship between cognitive function and sleep quality was analyzed by using multiple binary Logistic regression method.Results:A total of 121 elderly hemodialysis patients aged 67.4±7.2 years with cognitive impairment of 76 cases(62.8%)were included in the study.Numbers(%)of cases with very good, good, general and poor sleep quality were 33(27.3%), 39(32.2%), 14(11.6%)and 35(28.9%), respectively.The proportion of patients with pretty good sleep quality was lower in cognitive impairment group than in normal cognitive group(13/76 or 17.1% vs.20/45 or 44.4%, P<0.001). The proportion of patients with poor sleep quality was higher in cognitive impairment group than in normal cognitive group(29/76 or 38.2% vs.6/45 or 13.3%, P<0.05). Multiple binary Logistic regression analysis showed that age( OR: 1.128, 95% CI: 1.083-1.175, P<0.001), a education level( OR: 0.353, 95% CI: 0.151-0.556, P<0.05), hypertension( OR: 2.508, 95% CI: 1.189-5.291, P<0.05), diabetes( OR: 1.913, 95% CI: 1.045-3.502, P<0.05), stroke( OR: 4.044, 95% CI: 1.439-11.365, P<0.05), dialysis age( OR: 1.016, 95% CI: 1.010-1.023, P<0.001), KT/V( OR: 0.025, 95% CI: 0.005-0.122, P<0.001)and parathormon(iPTH)( OR: 1.002, 95% CI: 1.000-1.003, P<0.05)were associated with cognitive impairment.After adjusting for above factors, sleep quality was also correlated with cognitive impairment( OR: 1.180, 95% CI: 1.108-1.258, P<0.001), showing that the risk of cognitive impairment increased by 1.18 times with every one point increase in PSQI scores. Conclusions:Cognitive impairment is associated with age, education level, hypertension, diabetes, stroke, dialysis age, KT/V and iPTH in elderly hemodialysis patient, and sleep quality is also an independent risk factor for cognitive impairment.

Objective To evaluate the association between hypersensitive C reactive protein (hs-CRP) and the incidence of acute kidney injury in subarachnoid hemorrhage(SAH) patients.Methods It retrospectively recruited 213 cases of computerized tomography validated SAH patients from the neurology ICU from Beijing Tiantan Hospital between January 2012 and January 2015.The average age was (56.29±11.95) years old,and the patients were divided into AKI and non-AKI groups according to Kidney Disease: Improving Global Outcomes (KDIGO) diagnosis standards, Clinical features of AKI and Non-AKI patients including serum levels of hs-CRP were compared and multi-logistic regression was applied to find the risk factors concerning with the incidence of AKI.Receiver operating characteristics (ROC) curve was also plotted to evaluate the diagnostic value of hs-CRP towards the incidence of AKI.Results A total of 25 (11.74%) patients developed AKI.Average age of the SAH patients in both AKI and non-AKI groups were (63.60±12.21) years old vs.(55.31±11.60) years old(t=-3.33, P<0.05).The ratios of diabetics were were 28.00% vs.11.17% (χ2=5.47,P<0.05) and the ratio of proteinuria were 80.00% vs.34.57%, respectively (χ2=3.83, P<0.05).The median of serum creatinie were 63.72(51.45, 79.72)μmol/L vs.53.21(45.27, 65.62)μmol/L (P<0.05), and serum hs-CRP were (14.12±5.03)mg/L vs.(10.23±6.76)mg/L (P<0.05), and the ratios of antibiotics application were 84.00% vs.43.08% (P<0.05 for all).Multi-logistic regression analysis showed that serum hs-CRP was an independent risk factors for AKI after age, serum creatinine at admission were adjusted.[OR (95% CI) was 3.33(1.13, 9.85),P<0.05 for all].The area under curve of ROC was 0.69 (P<0.05), and the cut-off point of serum hs-CRP under the maximum Youden index was 13.85 mg/L.Conclusion Serum hs-CRP is an independent risk factor of theincidence of AKI in SAH patients, the significantly increase of serum hs-CRP might be an important predictor of the incidence of AKI in SAH patients.

Objective:To explore the related risk factors of aortic arch calcification (AoAC) and the relationship between AoAC and long-term outcome in maintenance hemodialysis patients.Methods:The patients who underwent hemodialysis in the Blood Purification Center of Beijing Shijitan Hospital Affiliated to Capital Medical University from March to June 2015 were recruited. Calcification of the aortic arch was estimated with plain chest radiology. The patients were divided into AoAC group and no-AoAC group. Multivariate binary logistic regression was used to analyze the influencing factors of AoAC. Kaplan-Meier analysis and Cox regression model were used to examine the association between AoAC and adverse prognostic events (all-cause death and cardiovascular events).Results:There were 157 hemodialysis patients included in this study, with age of (62.63±15.05) years (30-90 years old) and 85 males (54.14%). The median follow-up time was 54(20, 54) months. There were 99 cases (63.06%) in AoAC group and 58 cases (36.94%) in no-AoAC group. The age, proportion of diabetes history, serum corrected calcium and triglyceride levels in AoAC group were higher than those in no-AoAC group (all P<0.05), while the proportion of using active vitamin D, serum albumin and intact parathyroid hormone level were lower than those in no-AoAC group (all P<0.05). Multivariate logistic regression analysis showed that older age ( OR=1.109, 95% CI 1.067-1.152, P<0.001), diabetes ( OR=4.110, 95% CI 1.551-10.890, P=0.004), longer dialysis duration ( OR=1.026, 95% CI 1.010-1.043, P=0.001), higher systolic pressure ( OR=1.039, 95% CI 1.012-1.067, P=0.005) and higher triglycerides levels ( OR=1.932, 95% CI 1.148-3.125, P=0.013) were the independent risk factors of AoAC, and higher hemoglobin was a protective factor ( OR=0.967, 95% CI 0.938-0.998, P=0.035) of AoAC. Sixty-three cases (63.64%) died, and 78 cases (78.79%) had cardiovascular events in AoAC group. Fourteen cases (24.14%) died, and 12 cases (20.69%) had cardiovascular events in no-AoAC group. Kaplan-Meier analysis showed higher incidence rate of all-cause death (Log-rank χ2=22.499, P<0.001) and cardiovascular events (Log-rank χ2=50.797, P<0.001) in patients with AoAC. Multivariate Cox regression analysis showed AoAC was the independent risk factor of all-cause death ( HR=2.003, 95% CI 1.039-3.859, P=0.038) and cardiovascular events ( HR=5.642, 95% CI 3.003-10.600, P<0.001). Conclusions:Older age, diabetes mellitus, longer dialysis duration, hypertension, higher triglyceride levels and lower hemoglobin are significantly associated with AoAC. AoAC is the independent risk factor of all-cause death and cardiovascular events in maintenance hemodialysis patients.

Objective To investigate the relationship between cognitive impairments in elderly patients receiving hemodialysis and blood pressure variability during the day/night cycle. Methods A cross-sectional study was performed in 106 hemodialysis patients to evaluate cognitive function with Montreal Cognitive Assessment (MoCA) and blood pressure variability with a 24 h ambulatory blood pressure monitor. A multi-Logistic regression was conducted to analyze potential risk factors associated with cognitive impairments. Results A hundred and six patients had an average age of (73.1 ± 12.9)years.Sixty-nine out of 106 (63.4%) suffered cognitive impairments with MoCA scores lower than 26. Measurements for patients with cognitive impairments versus patients without cognitive impairments included twenty-four-hour ambulatory blood systolic pressure[(151.3 ± 20.1)mmHg vs. (131.1±11.7)mmHg ,P＜ 0.05],day-time average systolic blood pressure[(167.6±28.2)mmHg vs.(139.1 ± 14.2)mmHg ,P ＜ 0.05] ,night-time average systolic blood pressure [(139.9 ± 18.5) mmHg vs.(100.2± 11.3)mmHg ,P＜ 0.05] ,difference in systolic blood pressure between day and night[(167.6 ± 28.2)mmHg vs. (139.1 ± 14.2)mmHg ,P＜ 0.05] ,and coefficient of variation of systolic blood pressure [(8.2 ± 1.6)% vs. (19.9 ± 2.9)%,χ2＝ 44.67 ,P ＜ 0.05].Multi-logistic regression analysis showed that age (OR :1.5 ,95% CI :1.1-2.2 ,P＜0.05) ,education level (OR :1.8 , 95% CI :1.4-2.5 ,P＜0.05) ,anemia (OR :1.7 ,95% CI :1.1-2.6 ,P＜0.05) ,and diabetes (OR :2.1 , 95% CI :1.7-3.1 ,P＜0.05) were associated with cognitive impairments.Moreover ,the coefficient of variation of systolic blood pressure was also independently correlated with cognitive impairments (OR :1.4 ,95% CI :1.1-1.9 ,P＜0.05). Conclusions Cognitive impairment has a high prevalence among elderly hemodialysis patients and is associated with anemia ,age ,education level ,hypertension and diabetes.Besides ,the coefficient of variation of low systolic blood pressure may be an independent risk factor for cognitive impairment.

With the development of molecular biology research, targeted therapy has become the fourth effective method for the treatment of malignant tumors after surgery, radiotherapy, and chemotherapy. Unlike the traditional chemotherapeutic drugs, molecular targeted drugs possess the advantages of high specificity, definite curative effects, and less adverse effects. CLDN18.2 protein is a transmembrane protein that is highly selective and stably overexpressed during the development of various malignant tumors, especially gastrointestinal tumors, and metastases. A specific antibody against this protein, claudiximab (zolbetuximab/IMAB362), has achieved great success in recent clinical trials. Thus, CLDN18.2 protein is expected to be a safe and effective molecular target for targeted therapy in some malignancies.

Objective To explore the relationship between geriatric nutritional risk index(GNRI)and adverse outcomes in elderly patients undergoing maintenance hemodialysis(MHD).Methods A prospective cohort trial was conducted on 337 MHD patients aged ≥60 years in hemodialysis centers of 11 hospitals in Beijing from April to June 2017.Their baseline data were collected,and they were divided into non-malnutrition(GNRI≥98,226 cases),mild malnutrition(92≤GNRI＜98,81 cases),and major malnutrition groups(GNRI＜92,30 cases).All of them were followed up until June 2018.The endpoint events were all-cause mortality and cardiovascular disease(CVD)mortality.Kaplan-Meier survival analysis was used to compare the cumulative survival rate among the 3 groups.Multivariate Cox regression model was employed to analyze the relationship of GNRI with all-cause and CVD mortality.Results The mild and major malnutrition groups had significantly lower BMI,serum albumin level and GNRI(P＜0.01).During the median follow-up of 52(4.4-52.0)weeks,56(16.6％)patients died of all-cause death and 25(44.6％)of CVD death.Kaplan-Meier survival curve showed significant differences in all-cause mortality(x2=30.484,P＜0.01)and CVD mortality(x2=22.398,P＜0.01)in the 3 groups.Multivariate Cox regression analysis indicated that,as a continuous variable,elevated GNRI was a protective factor for all-cause mortality(HR=0.910,95％CI:0.870-0.952,P=0.000)and CVD mortality(HR=0.895,95％CI:0.852-0.940,P=0.000),and as a categorical variable,mild and major malnutri-tion were independently correlated with all-cause and CVD mortality(P＜0.05).Conclusion GNRI is an independent risk factor for all-cause and CVD mortality in elderly MHD patients.Mo-nitoring the nutritional status using GNRI can predict the risk of adverse prognosis.

Objective:To investigate the clinical characteristics and risk factors of frailty syndrome in elderly patients undergoing maintenance hemodialysis (MHD) and the effect of frailty syndrome on all-cause mortality.Methods:This was a prospective cohort study. MHD patients aged≥60 years in 5 hemodialysis centers in Beijing from April to June 2017 were selected as the study subjects. Baseline data were collected and compared, and the patients were then classified into non-frailty, pre-frailty and frailty syndrome groups according to the Fried criteria and followed up until June 2018. The end point event was all-cause death. Multivariate logistic regression was used to analyze the independent risk factors of frailty syndrome. Kaplan-Meier survival analysis was used to compare the difference in the cumulative survival rate among the 3 groups. A multivariate Cox regression model was used to analyze the independent risk factors of all-cause mortality.Results:A total of 204 patients aged (71.65±5.89) years (60-81 years) were enrolled into this study, including 123 males (60.29%), 147 patients (72.06%) in the frailty syndrome group, 41 patients (20.10%) in the pre-frailty group, and 16 patients (7.84%) in the non-frailty group. Patients with frailty syndrome tended to be older, longer dialysis vintage, a higher proportion of diabetes, lower urea clearance index (Kt/V) and lower serum albumin level (all P<0.05). Multivariate Logistic regression showed that factors independently associated with frailty syndrome included age ( OR=1.393, 95% CI 1.241-1.563, P<0.001), history of diabetes ( OR=3.610, 95% CI 1.262-10.327, P=0.017), dialysis vintage ( OR=1.011, 95% CI 1.002-1.020, P=0.019), Kt/V ( OR=0.711, 95% CI 0.516-0.979, P=0.037), serum albumin ( OR=0.754, 95% CI 0.644-0.882, P<0.001) and intact parathyroid hormone (iPTH, OR=1.344, 95% CI 1.024-1.763, P=0.033). Kaplan-Meier survival analysis showed that the cumulative survival rate in frailty syndrome group was significantly lower than those of pre-frailty (Log-rank χ2=7.265, P=0.007) and non-frailty groups (Log-rank χ2=5.238, P=0.022). Multivariate Cox regression analysis indicated that frailty syndrome ( HR=3.832, 95% CI 1.116-13.157, P=0.033), age ( HR=1.074, 95% CI 1.014-1.136, P=0.014), history of diabetes ( HR=2.009, 95% CI 1.067-3.784, P=0.031), cognitive impairment (Montreal cognitive assessment<26, HR=2.627, 95% CI 1.142-6.042, P=0.023), Kt/V ( HR=0.701, 95% CI 0.545-0.902, P=0.006), serum albumin ( HR=0.891, 95% CI 0.806-0.986, P=0.025) and iPTH ( HR=1.226, 95% CI 1.100-1.367, P<0.001) were independently associated with all-cause mortality. Conclusions:The prevalence of frailty syndrome in elderly patients undergoing hemodialysis is high. Ageing, diabetes history, long dialysis vintage, low levels of Kt/V and serum albumin, and elevated iPTH level are independent risk factors for frailty syndrome in such patients. Frailty syndrome is independently associated with an increased risk of all-cause mortality.

Objective:To investigate the incidence, risk factors, and outcomes of acute kidney injury (AKI) in cancer patients receiving immune checkpoint inhibitors (ICIs).Methods:A retrospective analysis was performed on the inpatients who received ICIs therapy in Beijing Shijitan Hospital, Capital Medical University from October 2015 to December 2020. According to the Kidney Disease: Improving Global Outcomes (KDIGO) definition of AKI, patients were divided into AKI group and non-AKI group, and the patients in the AKI group were further divided into ICIs related AKI (ICIs-AKI) and AKI due to other etiologies. The clinical characteristics of the patients were compared. Multivariate logistic regression was used to analyze the influencing factors of AKI, and sensitivity analysis was used to evaluate the influencing factors of ICIs-AKI.Results:A total of 279 cancer patients over 18 years old were included in this study, in which 175(62.7%) were males. There were 41 patients (14.70%) in AKI group, including 25 patients (8.96%) in ICIs-AKI group and 16 patients (5.73%) in AKI due to other etiologies group. Patients in the AKI group were characterized by higher proportions of hypertension, diuretics use and baseline eGFR<60 ml·min -1·(1.73 m 2) -1, extrarenal immune-related adverse events (irAEs) and a lower plasma albumin level (all P<0.05). The patients in the ICIs-AKI group had higher proportions of new aseptic leukocyturia, blood eosinophil count>500/ml, combined extrarenal irAEs, glucocorticoid use and discontinued ICIs treatment (all P<0.05). Multivariate logistic regression results showed that hypertension ( OR=3.424, 95% CI 1.559-7.522, P=0.002), use of diuretics ( OR=4.620, 95% CI 2.111-10.112, P<0.001), baseline eGFR<60 ml·min -1·(1.73 m 2) -1 ( OR=3.668, 95% CI 1.336-10.070, P=0.012) and extrarenal irAEs ( OR=9.909, 95% CI 4.198-23.391, P<0.001) were associated with AKI in cancer patients receiving ICIs therapy. Sensitivity analysis indicated that the risk factors of ICIs-AKI included use of diuretics and baseline eGFR<60 ml·min -1·(1.73 m 2) -1, similar to the results of the above analysis, extrarenal irAEs ( OR=17.572, 95% CI 6.302-48.995, P<0.001) were also associated with ICIs-AKI independently. Conclusions:AKI is not uncommon in patients treated with ICIs. Concomitant hypertension, baseline eGFR<60 ml·min -1·(1.73 m 2) -1 and use of diuretics are independent risk factors for AKI in such patients. Patients should be alert to the risk of ICIs-AKI when appearing extrarenal irAEs. Distinguishing ICIs-AKI from AKI caused by other causes will present a frequent challenge to clinical practitioners.

Objective:To explore the relationship between geriatric nutritional risk index (GNRI) and modified creatinine index (mCI) and all-cause mortality in maintenance hemodialysis (MHD) patients.Methods:It was a prospective cohort study. The MHD patients aged≥50 years old at hemodialysis centers of eleven hospitals in Beijing from April to June 2017 were selected as subjects. Baseline clinical data of the patients were collected. The patients were divided into high GNRI group (≥98) and low GNRI group (<98), and high mCI group (≥20.16 mg·kg -1·d -1) and low mCI group (<20.16 mg·kg -1·d -1), and further divided into 4 groups: G1 group (high GNRI and high mCI), G2 group (high GNRI and low mCI), G3 group (low GNRI and high mCI) and G4 group (low GNRI and low mCI). The differences of clinical characteristics among the four groups were compared. The patients were followed-up until June 2018 or death or loss, and the endpoint event was all-cause mortality. Kaplan-Meier survival analysis was used to compare the differences of the cumulative survival rates among the four groups. A multivariate Cox regression model was used to analyze the relationship between GNRI and mCI and all-cause mortality. Results:A total of 613 patients were included in the study, aged (63.65±7.78) years old (ranged from 50 to 81 years old), with 355 males (57.91%). The GNRI and mCI were (99.35±5.75) and (20.16±2.79) mg·kg -1·d -1, respectively. There were 232 patients (37.85%) in the G1 group, 177 patients (28.87%) in the G2 group, 95 patients (15.50%) in the G3 group, and 109 patients (17.78%) in the G4 group. There were statistically significant differences in age, sex, proportion of diabetes, proportion of coronary heart disease, body mass index, serum albumin and serum creatinine among the four groups (all P<0.05). A total of 69 patients (11.26%) died during a median follow-up time of 52(4, 52) weeks. Kaplan-Meier survival curve results showed that the mortality of patients with low GNRI was higher than that of patients with high GNRI (log-rank χ 2=26.956, P<0.001), and the mortality of patients with low mCI was higher than that of patients with high mCI (log-rank χ 2=25.842, P<0.001). The mortality was 3.45% in group G1, 10.73% in group G2, 9.47% in group G3, and 30.28% in group G4, and the differences among the four groups were statistically significant (log-rank χ 2=57.153, P<0.001). Multivariate Cox regression analysis results showed that as continuous variables, GNRI ( HR=0.911, 95% CI 0.882-0.941, P<0.001) and mCI ( HR=0.873, 95% CI 0.797-0.956, P=0.003) were correlated with all-cause death. As categorical variables, compared with high GNRI group and high mCI group, patients with low GNRI ( HR=3.469, 95% CI 2.125-5.665, P<0.001) and low mCI ( HR=3.255, 95% CI 1.879-5.640, P<0.001) had higher risks of death. Compared with G1 group, patients in G2 group ( HR=2.488, 95% CI 1.079-5.738, P=0.033) and G4 group ( HR=9.449, 95% CI 4.362-20.470, P<0.001) had higher risks of death. Conclusions:GNRI and mCI are independent predictive factors of all-cause mortality in MHD patients. The combination of GNRI and MCI can more accurately predict the risk of all-cause death in middle-aged and elderly MHD patients.

Objective:To investigate the association between body mass index (BMI) and waist circumference (WC) with all-cause mortality in middle-aged and elderly patients receiving maintenance hemodialysis (MHD).Methods:It was a prospective cohort study. The clinical data of MHD patients aged ≥50 years old from eleven hemodialysis centers from April to June 2017 in Beijing were analyzed. The patients were divided into low BMI group [body mass index (BMI)<18.5 kg/m 2], normal BMI group (18.5 kg/m 2≤BMI <24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2) and obesity group (BMI≥28.0 kg/m 2) by BMI, and central obesity group (male ≥85 cm, female ≥80 cm) and normal WC group (male <85 cm, female <80 cm) by WC. Kaplan-Meier survival analysis method was used to compare the difference of all-cause mortality between those groups. Multivariate Cox regression model was used to analyze the association of BMI and WC with all-cause mortality. Results:A total of 613 MHD patients were enrolled, with age of (63.82±7.14) years old and 258 (42.09%) females. There were 46 (7.50%) patients in the low BMI group, 303 (49.43%) patients in the normal BMI group, 227 (37.03%) patients in the overweight group and 37 (6.04%) patients in the obesity group. In addition, 346 (56.44%) patients were categorized as central obesity. Kaplan-Meier survival analysis results showed that the all-cause mortality rates of low BMI group (log-rank χ2=13.571, P<0.001) and obesity group (log-rank χ2=6.664 P=0.010) were higher than that of normal BMI group, and the all-cause mortality rate of central obesity group was higher than that of normal WC group (log-rank χ2=5.698, P=0.017). Multivariate Cox regression analysis results showed that，besides the low BMI group and obesity group (with normal BMI group as a reference, HR=5.289, 95% CI 2.318-12.067, P<0.001; HR=5.360, 95% CI 2.088-13.760, P<0.001, respectively), normal BMI and overweight combined with central obesity were also independently correlated with all-cause mortality (with normal WC group as a reference, HR=2.605, 95% CI 1.199-5.663, P=0.016; HR=1.787, 95% CI 1.026-3.732, P=0.031, respectively). Conclusions:Lower and higher BMI or combined central obesity are independently associated with all-cause mortality in the middle-aged and elderly patients receiving MHD.