Objective:To explore how one-sided/two-sided brain blood flow affects the occurrence of neurological complications in patients with Stanford type A aortic dissection, as well as to assess the factors that contribute to the development of neurological complications.Methods:A total of 162 patients diagnosed with Stanford type A aortic dissection who had undergone ascending aorta and total aortic arch replacement at Affiliated Hospital of Jining Medical College from August 2020 to December 2023 were retrospectively reviewed. These patients were categorized into two groups based on the presence of postoperative neurological complications: a group with neurological complications comprising 77 cases and a group without neurological complications comprising 85 cases. A comparative analysis was carried out on general clinical data, surgical and brain perfusion characteristics, as well as preoperative test indicators between these two groups in order to investigate the factors influencing the occurrence of postoperative neurological complications in patients with Stanford type A aortic dissection. The data was analyzed using Logistic regression to identify the risk factors associated with postoperative neurological complications and to develop a predictive nomogram model. Calibration curves, receiver operating characteristic (ROC) curves and decision curve (DCA) were generated to assess the accuracy and predictive capability of the nomogram model.Results:In the group of patients who experienced neurological complications, there was a higher prevalence of a history of hypertension, longer operation time, extended periods of cardiopulmonary bypass, cross-clamping, brain perfusion, cooling, and rewarming, as well as increased postoperative drainage volume. Additionally, the levels of preoperative blood urea nitrogen (BUN), creatinine (Cr) and lactic acid (Lac) were elevated compared to those in the non-neurological complications group: 77.9% (60/77) vs. 52.9% (45/85), (409.99 ± 104.26) min vs. (348.29 ± 63.12) min, (223.36 ± 66.86) min vs. (179.25 ± 38.59) min, 112 (94, 133) min vs. 96 (84, 113) min, (35.23 ± 9.89) min vs. (32.14 ± 6.81) min, (82.19 ± 28.69) min vs. (68.76 ± 29.06) min, (79.30 ± 22.60) min vs. (69.54 ± 16.42) min, 806 (529, 1 127) ml vs. 663 (449, 925) ml, 6.78 (5.38, 8.84) mmol/L vs. 6.08 (4.66, 7.76) mmol/L, 86.3 (64.0, 131.9) μmol/L vs. 71.0 (55.6, 84.9) μmol/L, 2.1(1.2, 4.0) mmol/L vs. 1.5 (0.9, 2.3) mmol/L. On the other hand, the percentage of patients who underwent bilateral brain perfusion was lower, and they experienced lower lowest temperature, preoperative platelet count, and ejection fraction levels than those in the non-neurological complications group: 57.1% (44/77) vs. 75.3% (64/85), (25.69 ± 1.04) ℃ vs. (26.04 ± 0.82) ℃, (175.79 ± 58.14) ×10 9/L vs. (213.87 ± 77.29) ×10 9/L, (54.18 ± 3.84)% vs. (55.34 ± 3.56)% ( P<0.05). Multivariate Logistic regression analysis revealed that a prior history of high blood pressure, prolonged cardiopulmonary bypass duration were identified as autonomous risk factors for the development of postoperative neurological issues in individuals with Stanford type A aortic dissection, while simultaneous brain perfusion emerged as an independent protective element ( P<0.05). Subsequently, a predictive nomogram was constructed incorporating these three pivotal factors to assess the likelihood of postoperative neurological complications in patients with Stanford type A aortic dissection. The calibration curve exhibited a noteworthy level of accuracy for the nomogram predictive model ( χ2 = 9.01, P = 0.342). Additionally, the ROC curve analysis displayed an area under the curve of 0.84 (95% CI 0.78 to 0.90) for the nomogram model in predicting postoperative neurological complications in patients with Stanford type A aortic dissection, indicating a high predictive accuracy. Moreover, DCA analysis indicated that the nomogram model provided a net benefit above 0 across the spectrum of 0 to 90%. Conclusions:Postoperative neurological complications in patients with Stanford type A aortic dissection is linked to factors such as a previous history of hypertension, unilateral brain perfusion, an extended cardiopulmonary bypass duration. By developing a nomogram model that incorporates these factors, it becomes feasible to accurately forecast the likelihood of postoperative neurological complications in this patient population. This predictive tool holds significant value in facilitating proactive clinical risk evaluation and preventive measures.

Objective:To evaluate the predictive value of whole blood cell derived inflammatory marker (including systemic immunoinflammatory index (SII), systemic inflammatory response index (SIRI), neutrophil count/lymphocyte count (NLR), platelet count/lymphocyte count (PLR), and monocyte count/lymphocyte count (MLR)) and in combination with N-terminal pro-B-type natriuretic peptide (NT-proBNP) on the prognosis of patients with chronic heart failure.Methods:This study was a retrospective cohort study. Patients with chronic heart failure hospitalized in the Department of Cardiovascular Medicine, Nanfang Hospital, Southern Medical University from January 2019 to August 2022 were enrolled. Patients were followed up and were divided into survival group and death group according to the follow-up results. Clinical characteristics of the two groups were compared. Receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of each whole blood cell derived inflammatory marker for predicting all-cause death in patients with chronic heart failure. Kaplan-Meier survival curve was drawn, and log-rank test was used to compare the difference in survival of chronic heart failure patients with different levels of whole blood cell derived inflammatory markers. Univariate and multivariate Cox proportional hazards models were used to analyze the effects of whole blood cell derived inflammatory markers and NT-proBNP on the all-cause death of patients with chronic heart failure. ROC curve was used to analyze the predictive value of whole blood cell derived inflammatory markers combined with NT-proBNP on the prognosis of patients with chronic heart failure.Results:A total of 324 patients with heart failure aged (64.76±13.78) years were enrolled, with 212 males (65.43%). 297 patients (91.67%) completed follow-up, 27 patients (8.33%) were lost to follow-up. The follow-up time was 24.0 (18.0, 41.8) months. There were 258 patients in the survival group and 66 patients in the death group. The optimal cut-off values of SII, SIRI, NLR, PLR and MLR determined by ROC curve were 739.83, 1.65, 3.14, 151.95 and 0.37, respectively. Kaplan-Meier survival curve analysis showed that patients with chronic heart failure with high levels of SII (≥739.83), SIRI (≥1.65), NLR (≥3.14), PLR (≥151.95) and MLR (≥0.37) had higher incidence of all-cause death than patients with low levels of inflammatory markers (all P<0.001). Multivariate Cox proportional hazard regression analysis showed that age ( HR=1.04, 95% CI 1.01-1.06, P=0.002), NT-proBNP ( HR=2.93, 95% CI 1.64-5.23, P<0.001), SII≥739.83 ( HR=3.27, 95% CI 1.18-9.02, P=0.022) and PLR≥151.95 ( HR=2.67, 95% CI 1.02-6.96, P=0.045) were independent predictors of all-cause death in patients with chronic heart failure. ROC curve analysis showed that the predictive value of SII and PLR combined with NT-proBNP ( AUC=0.850) for the prognosis of patients with chronic heart failure was better than that of SII ( AUC=0.779)、PLR ( AUC=0.782)、NT-proBNP ( AUC=0.727) and CRP ( AUC=0.668) alone (all P<0.001). Conclusions:Whole blood cell derived inflammatory markers——SII, PLR, and NT-pro BNP were independently associated with all-cause death in patients with chronic heart failure. SII and PLR can independently predict the prognosis of patients with chronic heart failure, combination of SII and PLR with NT-pro BNP has better predictive value for the prognosis of patients with chronic heart failure.

Objective:To explore how one-sided/two-sided brain blood flow affects the occurrence of neurological complications in patients with Stanford type A aortic dissection, as well as to assess the factors that contribute to the development of neurological complications.Methods:A total of 162 patients diagnosed with Stanford type A aortic dissection who had undergone ascending aorta and total aortic arch replacement at Affiliated Hospital of Jining Medical College from August 2020 to December 2023 were retrospectively reviewed. These patients were categorized into two groups based on the presence of postoperative neurological complications: a group with neurological complications comprising 77 cases and a group without neurological complications comprising 85 cases. A comparative analysis was carried out on general clinical data, surgical and brain perfusion characteristics, as well as preoperative test indicators between these two groups in order to investigate the factors influencing the occurrence of postoperative neurological complications in patients with Stanford type A aortic dissection. The data was analyzed using Logistic regression to identify the risk factors associated with postoperative neurological complications and to develop a predictive nomogram model. Calibration curves, receiver operating characteristic (ROC) curves and decision curve (DCA) were generated to assess the accuracy and predictive capability of the nomogram model.Results:In the group of patients who experienced neurological complications, there was a higher prevalence of a history of hypertension, longer operation time, extended periods of cardiopulmonary bypass, cross-clamping, brain perfusion, cooling, and rewarming, as well as increased postoperative drainage volume. Additionally, the levels of preoperative blood urea nitrogen (BUN), creatinine (Cr) and lactic acid (Lac) were elevated compared to those in the non-neurological complications group: 77.9% (60/77) vs. 52.9% (45/85), (409.99 ± 104.26) min vs. (348.29 ± 63.12) min, (223.36 ± 66.86) min vs. (179.25 ± 38.59) min, 112 (94, 133) min vs. 96 (84, 113) min, (35.23 ± 9.89) min vs. (32.14 ± 6.81) min, (82.19 ± 28.69) min vs. (68.76 ± 29.06) min, (79.30 ± 22.60) min vs. (69.54 ± 16.42) min, 806 (529, 1 127) ml vs. 663 (449, 925) ml, 6.78 (5.38, 8.84) mmol/L vs. 6.08 (4.66, 7.76) mmol/L, 86.3 (64.0, 131.9) μmol/L vs. 71.0 (55.6, 84.9) μmol/L, 2.1(1.2, 4.0) mmol/L vs. 1.5 (0.9, 2.3) mmol/L. On the other hand, the percentage of patients who underwent bilateral brain perfusion was lower, and they experienced lower lowest temperature, preoperative platelet count, and ejection fraction levels than those in the non-neurological complications group: 57.1% (44/77) vs. 75.3% (64/85), (25.69 ± 1.04) ℃ vs. (26.04 ± 0.82) ℃, (175.79 ± 58.14) ×10 9/L vs. (213.87 ± 77.29) ×10 9/L, (54.18 ± 3.84)% vs. (55.34 ± 3.56)% ( P<0.05). Multivariate Logistic regression analysis revealed that a prior history of high blood pressure, prolonged cardiopulmonary bypass duration were identified as autonomous risk factors for the development of postoperative neurological issues in individuals with Stanford type A aortic dissection, while simultaneous brain perfusion emerged as an independent protective element ( P<0.05). Subsequently, a predictive nomogram was constructed incorporating these three pivotal factors to assess the likelihood of postoperative neurological complications in patients with Stanford type A aortic dissection. The calibration curve exhibited a noteworthy level of accuracy for the nomogram predictive model ( χ2 = 9.01, P = 0.342). Additionally, the ROC curve analysis displayed an area under the curve of 0.84 (95% CI 0.78 to 0.90) for the nomogram model in predicting postoperative neurological complications in patients with Stanford type A aortic dissection, indicating a high predictive accuracy. Moreover, DCA analysis indicated that the nomogram model provided a net benefit above 0 across the spectrum of 0 to 90%. Conclusions:Postoperative neurological complications in patients with Stanford type A aortic dissection is linked to factors such as a previous history of hypertension, unilateral brain perfusion, an extended cardiopulmonary bypass duration. By developing a nomogram model that incorporates these factors, it becomes feasible to accurately forecast the likelihood of postoperative neurological complications in this patient population. This predictive tool holds significant value in facilitating proactive clinical risk evaluation and preventive measures.

Objective:To evaluate the predictive value of whole blood cell derived inflammatory marker (including systemic immunoinflammatory index (SII), systemic inflammatory response index (SIRI), neutrophil count/lymphocyte count (NLR), platelet count/lymphocyte count (PLR), and monocyte count/lymphocyte count (MLR)) and in combination with N-terminal pro-B-type natriuretic peptide (NT-proBNP) on the prognosis of patients with chronic heart failure.Methods:This study was a retrospective cohort study. Patients with chronic heart failure hospitalized in the Department of Cardiovascular Medicine, Nanfang Hospital, Southern Medical University from January 2019 to August 2022 were enrolled. Patients were followed up and were divided into survival group and death group according to the follow-up results. Clinical characteristics of the two groups were compared. Receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value of each whole blood cell derived inflammatory marker for predicting all-cause death in patients with chronic heart failure. Kaplan-Meier survival curve was drawn, and log-rank test was used to compare the difference in survival of chronic heart failure patients with different levels of whole blood cell derived inflammatory markers. Univariate and multivariate Cox proportional hazards models were used to analyze the effects of whole blood cell derived inflammatory markers and NT-proBNP on the all-cause death of patients with chronic heart failure. ROC curve was used to analyze the predictive value of whole blood cell derived inflammatory markers combined with NT-proBNP on the prognosis of patients with chronic heart failure.Results:A total of 324 patients with heart failure aged (64.76±13.78) years were enrolled, with 212 males (65.43%). 297 patients (91.67%) completed follow-up, 27 patients (8.33%) were lost to follow-up. The follow-up time was 24.0 (18.0, 41.8) months. There were 258 patients in the survival group and 66 patients in the death group. The optimal cut-off values of SII, SIRI, NLR, PLR and MLR determined by ROC curve were 739.83, 1.65, 3.14, 151.95 and 0.37, respectively. Kaplan-Meier survival curve analysis showed that patients with chronic heart failure with high levels of SII (≥739.83), SIRI (≥1.65), NLR (≥3.14), PLR (≥151.95) and MLR (≥0.37) had higher incidence of all-cause death than patients with low levels of inflammatory markers (all P<0.001). Multivariate Cox proportional hazard regression analysis showed that age ( HR=1.04, 95% CI 1.01-1.06, P=0.002), NT-proBNP ( HR=2.93, 95% CI 1.64-5.23, P<0.001), SII≥739.83 ( HR=3.27, 95% CI 1.18-9.02, P=0.022) and PLR≥151.95 ( HR=2.67, 95% CI 1.02-6.96, P=0.045) were independent predictors of all-cause death in patients with chronic heart failure. ROC curve analysis showed that the predictive value of SII and PLR combined with NT-proBNP ( AUC=0.850) for the prognosis of patients with chronic heart failure was better than that of SII ( AUC=0.779)、PLR ( AUC=0.782)、NT-proBNP ( AUC=0.727) and CRP ( AUC=0.668) alone (all P<0.001). Conclusions:Whole blood cell derived inflammatory markers——SII, PLR, and NT-pro BNP were independently associated with all-cause death in patients with chronic heart failure. SII and PLR can independently predict the prognosis of patients with chronic heart failure, combination of SII and PLR with NT-pro BNP has better predictive value for the prognosis of patients with chronic heart failure.

Objectives:To evaluate the clinical outcome of acute respiratory distress syndrome (ARDS) in patients with Stanford Type A aortic dissection (AAD).Methods:A total of 212 patients diagnosed with AAD and receiving surgical treatment in the Affiliated Hospital of Jining Medical University from January 2016 to December 2021 were included. The patients were divided into ARDS group and non-ARDS group based on the definition of ARDS Berlin after surgery. The preoperative general clinical data of the two groups were compared by univariate analysis, and the preference-matching variables were screened. The patients were divided into ARDS group ( n=63) and non-ARDS group ( n=63) by using propensity matching score, and the clinical outcome indexes of ARDS group and non-ARDS group were compared after matching. Results:A total of 63 patients (29.7%) were diagnosed with ARDS after AAD. A total of 63 pairs of patients were successfully matched using propensity score to adjust preoperative confounding factors. After matching, the proportion of total arch surgery, operation time, perioperative blood loss, red blood cell transfusion and plasma transfusion in the ARDS group were significantly higher than those in the non-ARDS group, with statistical significance (all P<0.05). After the match, In the ARDS group, Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score [18(14-24)points vs 13(12-15)points], mechanical ventilation time [86.0(57.3-158.0)h vs 41.5(23.8-60.4)h], intensive care unit (ICU) stay time [7.0(6.0-11.5)d vs 4.0(3.0-6.0)d] and hospital stay [18.0(14.0-24.5)d vs 13.5(10.8-18.0)d] were significantly higher than those in the non-ARDS group, with statistical significance (all P<0.05). There was no significant difference in in-hospital mortality (3.2% vs 1.6%) or within 30 days after discharge (6.3% vs 3.2%) between the two groups (all P>0.05). Conclusions:The incidence of ARDS is higher in patients diagnosed with AAD based on the Berlin definition, but there is no increase in the mortality rate within 30 days of hospital and discharge in ARDS group. The Berlin definition of ARDS may have some limitations in the application of ARDS in patients with AAD after surgery.

Objectives:To evaluate the clinical outcome of acute respiratory distress syndrome (ARDS) in patients with Stanford Type A aortic dissection (AAD).Methods:A total of 212 patients diagnosed with AAD and receiving surgical treatment in the Affiliated Hospital of Jining Medical University from January 2016 to December 2021 were included. The patients were divided into ARDS group and non-ARDS group based on the definition of ARDS Berlin after surgery. The preoperative general clinical data of the two groups were compared by univariate analysis, and the preference-matching variables were screened. The patients were divided into ARDS group ( n=63) and non-ARDS group ( n=63) by using propensity matching score, and the clinical outcome indexes of ARDS group and non-ARDS group were compared after matching. Results:A total of 63 patients (29.7%) were diagnosed with ARDS after AAD. A total of 63 pairs of patients were successfully matched using propensity score to adjust preoperative confounding factors. After matching, the proportion of total arch surgery, operation time, perioperative blood loss, red blood cell transfusion and plasma transfusion in the ARDS group were significantly higher than those in the non-ARDS group, with statistical significance (all P<0.05). After the match, In the ARDS group, Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score [18(14-24)points vs 13(12-15)points], mechanical ventilation time [86.0(57.3-158.0)h vs 41.5(23.8-60.4)h], intensive care unit (ICU) stay time [7.0(6.0-11.5)d vs 4.0(3.0-6.0)d] and hospital stay [18.0(14.0-24.5)d vs 13.5(10.8-18.0)d] were significantly higher than those in the non-ARDS group, with statistical significance (all P<0.05). There was no significant difference in in-hospital mortality (3.2% vs 1.6%) or within 30 days after discharge (6.3% vs 3.2%) between the two groups (all P>0.05). Conclusions:The incidence of ARDS is higher in patients diagnosed with AAD based on the Berlin definition, but there is no increase in the mortality rate within 30 days of hospital and discharge in ARDS group. The Berlin definition of ARDS may have some limitations in the application of ARDS in patients with AAD after surgery.

Objective:To explore the risk factors of renal function progression in patients with acute renal injury (AKI) after moderate hypothermic circulatory arrest surgery in acute aortic dissection (AD).Methods:Retrospective analysis was made base on the data of 290 patients with acute AD who underwent surgical treatment from January 2014 to August 2022 in the Affiliated Hospital of Jining Medical University. According to the Kidney Disease: Improving Global Outcomes (KDIGO) AKI diagnostic criteria in 2015, patients with AKI after surgery were selected as the study objects. Patients with progressive deterioration of renal function or required continuous renal replacement therapy after AD operation were defined as the progression group of AKI, the other patients with gradual improvement of renal function after AD operation were defined as the improvement group of AKI. The clinical data of the two groups were compared, and the risk factors for the progression of AKI after AD were analyzed by multivariate logistic regression.Results:A total of 290 AD surgeries were completed, of which 143 cases developed AKI after surgery, including 81 cases in AKI progression group and 62 cases in AKI improvement group. In the progression group of AKI, before surgery the proportion of patients with coronary heart disease: 24.7% (20/81) vs.11.3% (7/62), serum creatinine (Scr) >133 μmol/L: 24.7% (20/81) vs. 3.2% (2/62), pericardial tamponade: 22.2% (18/81) vs. 8.1% (5/62), lower limb ischemia: 25.9% (21/81) vs. 3.2% (2/62) were significantly increased. Postoperative acute physiology and chronic health evaluation Ⅱ (APACHE) score: 14.00 (9.00, 19.75) scores vs. 10.00 (7.00, 12.00) scores, ICU hospitalization days: 8 (5, 13) d vs. 5 (3, 7) d, postoperative mortality: 24.7%(20/81) vs. 1.6%(1/62), the proportion of KDIGO phase 3 ratio: 46.9%(38/81) vs. 3.2%(2/62), postoperative infection: 61.7%(50/81) vs. 38.7% (24/62), low cardiac output syndrome: 29.6% (24/81) vs. 6.5% (4/62), cerebral infarction complications: 38.2%(31/81) vs. 16.1%(10/62), and mortality after surgery were also higher. Compared with improvement group of AKI, all differences were statistically significant ( P<0.05). Multivariate Logistic regression analysis showed that preoperative lower limb ischemia ( OR = 9.430, 95% CI 1.975 to 45.032, P = 0.005), postoperative low cardiac output syndrome ( OR = 5.288, 95% CI 1.543 to 18.126, P = 0.008), and postoperative infection ( OR = 2.273, 95% CI 1.022 to 5.057, P = 0.044) were independent risk factors for the progression of AKI after AD surgery. Conclusions:The independent risk factors of renal function progression in patients with AKI after hypothermic circulatory arrest surgery in acute AD include preoperative lower limb ischemia, postoperative low cardiac output syndrome, and postoperative infection.

Objective:To investigate the perioperative complications and risk factors of postoperative death in patients with acute Stanford type A aortic dissection (ATAAD).Methods:The perioperative data of 228 patients with ATAAD who underwent continuous surgery in the Affiliated Hospital of Jining Medical University from January 2013 to July 2021 were retrospectively analyzed. The complications were analyzed. According to the survival within 30 days after surgery, they were divided into death group (24 cases) and survival group (204 cases). The risk factors of postoperative death were analyzed by univariate and multivariate logistic regression. The receiver operating characteristic (ROC) curve was drawed to evaluate the predictive efficacy of various risk factors on postoperative death of ATAAD patients.Results:The first three complications before operation were hypoxemia (10.1%, 23/228), pericardial tamponade (7.9%, 18/228), renal insufficiency (5.3%, 12/228), the first three complications after surgery were hypoxemia (75.8%, 173/228), renal insufficiency (26.8%, 61/228) and liver insufficiency (26.3%, 60/228). A total of 24 patients died, the fatality rate was 10.5%(24/228). Logistic regression analysis showed that age≥55 years old ( OR=7.733, 95% CI: 1.986-30.111, P=0.003), preoperative pericardial tamponade ( OR=5.641, 95% CI: 1.546-20.577, P=0.009), cardiopulmonary bypass time (CBP)≥200 min ( OR=1.008, 95% CI: 1.002-1.014, P=0.007) and postoperative renal insufficiency ( OR=5.875, 95% CI: 1.927-17.907, P=0.002) were independent risk factors for early death after ATAAD. The area under the ROC curves of joint prediction was 0.905 (95% CI: 0.820-0.950, P<0.01). The sensitivity and specificity of joint prediction were 88.4%, 76.5%, respectively. Conclusions:ATAAD has many perioperative complications and high mortality. Age≥55 years old, preoperative pericardial tamponade, CPB time≥200 min, and postoperative renal insufficiency were independent risk factors for postoperative death in ATAAD patients.

Reform of public hospitals is key to the healthcare system reform.This article introduced how Hangzhou implemented such a reform of " Hangzhou characteristics" by referring to the hospital reform framework of the World Bank, and the theoretical achievements and practical experiences of domestic public hospitals′reform.Led by the service concept of " Medicine has its limitations but we have the courage to overcome, service is boundaryless and we must pursue excellence" , Hangzhou has established a public hospital value system of " reorientation to public welfare".The smart healthcare system serves as a focus, to support the delicacy management of the hospitals. The construction of hierarchical medical care system functions as the pillar, to support the coordinated development of hospitals, primary health institutions and public health institutions.This way a public hospital comprehensive reform mode is established featuring " one value system, 2 levels of organization structure, 6 mechanisms, and 19 supporting measures ". Its experiences may serve as reference to streamline hospital internal operation and external cooperation mechanism.

Objective To assess the risk factors of intradialytic-hypotension (IDH) and the prognosis of IDH among maintenance hemodialysis (MHD) patients for the prevention and treatment of IDH.Methods 276 MHD patients were enrolled during Jan.2009 to Mar.2009.Intradialytic blood pressure was monitored during a 3-month period.IDH was defined as an event characterized by a sudden drop in systolic BP more than 20 mmHg or in mean artery pressure (MAP) more than 10 mmHgassociated with clinical events and need for interventions.Dialysis-related information was collected.Kaplan-Meier method,log-rank test,logistic regression and Cox regression analyses were performed to examine the association between IDH and survival,using a follow-up through 31 May 2014.Results A total of 276 patients were recruited.The incidence rate of IDH was 40.9％.163 patients with no-IDH (＜ 1/10 hypotensive events/3 months) served as controls.113 patients with IDH (≥ 1/10 hypotensive events/3 months) were identified among all 276 patients.Multivariate logistic regression analysis showed that age,ultrafiltration rate,gender,serum NT-proBNP,serum albumin and aortic rool inside dimension (AoRD) were associated with IDH among MHD patients.During the 5-year follow-up,74 patients died,with a mortality rate 5.2 per 100 person-year.Kaplan-Meier survival curve showed significant difference of overall and CV mortality rates between 2 groups.The multivariate Cox regression model indicated that IDH increased the risk of death (HR=1.572,95％CI 1.077-2.293,P=0.019).So did the rise of LVMI (HR=1.010,95％CI 1.009-1.085,P=0.020).Conclusion Elderly,female,high ultrafiltration rate,high level of serum NT-proBNP,hypoalbuminemia and shorter AoRD are independent risk factors for IDH among MHD patients.LVMI can predict the outcome of MHDpatients.Intradialytic hypotension is an independent risk factor for long-term mortality in MHD patients.