1.Analysis of causes and solutions for vacuum suction weakness of dental units
Xinya LI ; Yichen WANG ; Yansong LIU ; Anjia ZHENG ; Shubin WU ; Baolin FAN ; Jianxia WANG
China Medical Equipment 2024;21(2):193-195,199
An efficient vacuum suction system is a necessary prerequisite for the smooth operation of the oral diagnosis and treatment.During the use of the dental units,there is often a situation of vacuum suction weakness,resulting in the inability to discharge the mixture of blood,saliva,dental tissue and other mixtures in time,which affects the doctor's treatment field and increases the risk of aspiration pneumonia and cross-infection in patients.The working principle,pipeline system,filters and other aspects of the vacuum suction system that may affect the suction efficiency was analyzed.The causes and solutions of vacuum suction weakness were discussed,and operation suggestions were proposed to ensure the safe and effective use of equipment and ensure the safety of diagnosis and treatment.
2.Tenecteplase versus alteplase in treatment of acute ST-segment elevation myocardial infarction: A randomized non-inferiority trial
Xingshan ZHAO ; Yidan ZHU ; Zheng ZHANG ; Guizhou TAO ; Haiyan XU ; Guanchang CHENG ; Wen GAO ; Liping MA ; Liping QI ; Xiaoyan YAN ; Haibo WANG ; Qingde XIA ; Yuwang YANG ; Wanke LI ; Juwen RONG ; Limei WANG ; Yutian DING ; Qiang GUO ; Wanjun DANG ; Chen YAO ; Qin YANG ; Runlin GAO ; Yangfeng WU ; Shubin QIAO
Chinese Medical Journal 2024;137(3):312-319
Background::A phase II trial on recombinant human tenecteplase tissue-type plasminogen activator (rhTNK-tPA) has previously shown its preliminary efficacy in ST elevation myocardial infarction (STEMI) patients. This study was designed as a pivotal postmarketing trial to compare its efficacy and safety with rrecombinant human tissue-type plasminogen activator alteplase (rt-PA) in Chinese patients with STEMI.Methods::In this multicenter, randomized, open-label, non-inferiority trial, patients with acute STEMI were randomly assigned (1:1) to receive an intravenous bolus of 16 mg rhTNK-tPA or an intravenous bolus of 8 mg rt-PA followed by an infusion of 42 mg in 90 min. The primary endpoint was recanalization defined by thrombolysis in myocardial infarction (TIMI) flow grade 2 or 3. The secondary endpoint was clinically justified recanalization. Other endpoints included 30-day major adverse cardiovascular and cerebrovascular events (MACCEs) and safety endpoints.Results::From July 2016 to September 2019, 767 eligible patients were randomly assigned to receive rhTNK-tPA ( n = 384) or rt-PA ( n = 383). Among them, 369 patients had coronary angiography data on TIMI flow, and 711 patients had data on clinically justified recanalization. Both used a –15% difference as the non-inferiority efficacy margin. In comparison to rt-PA, both the proportion of patients with TIMI grade 2 or 3 flow (78.3% [148/189] vs. 81.7% [147/180]; differences: –3.4%; 95% confidence interval [CI]: –11.5%, 4.8%) and clinically justified recanalization (85.4% [305/357] vs. 85.9% [304/354]; difference: –0.5%; 95% CI: –5.6%, 4.7%) in the rhTNK-tPA group were non-inferior. The occurrence of 30-day MACCEs (10.2% [39/384] vs. 11.0% [42/383]; hazard ratio: 0.96; 95% CI: 0.61, 1.50) did not differ significantly between groups. No safety outcomes significantly differed between groups. Conclusion::rhTNK-tPA was non-inferior to rt-PA in the effect of improving recanalization of the infarct-related artery, a validated surrogate of clinical outcomes, among Chinese patients with acute STEMI.Trial registration::www.ClinicalTrials.gov (No. NCT02835534).
3.Expressions of TP53, P16 and K-ras in gallbladder high-grade intraepithelial neoplasia and early carcinoma and establishment of a random forest prediction model
Qi LI ; Yuhan WU ; Rui ZHANG ; Chen CHEN ; Zhiqiang CAI ; Shubin SI ; Zhimin GENG ; Dong ZHANG
Journal of Xi'an Jiaotong University(Medical Sciences) 2021;42(1):18-24
【Objective】 To explore the different expressions of TP53, P16 and K-ras in gallbladder high-grade intraepithelial neoplasia and early carcinoma, and establish their mutation random forest prediction model. 【Methods】 We retrospectively analyzed the clinicopathological data of 71 patients who underwent cholecystectomy at The First Affiliated Hospital of Xi’an Jiaotong University from January 2013 to December 2018, including 20 cases of chronic cholecystitis, 28 cases of gallbladder high-grade intraepithelial neoplasia, and 23 cases of early gallbladder carcinoma. The immunohistochemical SP method was conducted to detect the expressions of TP53, P16 and K-ras in the gallbladder pathological tissues; the correlation between the above genes and clinicopathological data was analyzed. A random forest prediction model of each gene mutation was established based on the clinicopathological data and gene expression. 【Results】 The positive expressions of TP53, P16 and K-ras were related to the gallbladder with cholecystolithiasis or polyps and gallbladder pathological tissue type. The positive rates of the three genes in the gallbladder polyps were significantly higher than those in the cholecystolithiasis group (P<0.05). The positive rates of the three genes in the latter two groups of gallbladder high-grade intraepithelial neoplasia and early gallbladder carcinoma were significantly higher than those in the chronic cholecystitis (P<0.05), while there was no statistical difference between the latter two groups (P>0.05). The mutations of TP53, P16 and K-ras had a certain correlation (χ2=6.285, 19.595, 4.070, r=0.298, 0.525, 0.239, P<0.05). TP53, P16 and K-ras mutation prediction models based on random forest had good accuracy (AUC=77.42%, 80.06%, 71.75%, accuracy=76.06%, 76.06%, 67.61%). 【Conclusion】 TP53, P16 and K-ras gene mutations promote the transformation of chronic cholecystitis to gallbladder carcinoma. The mutation prediction model based on random forest has a good accuracy, which can provide an important reference for carcinogenesis and early diagnosis of gallbladder carcinoma.
4.A prognostic model of intrahepatic cholangiocarcinoma after curative intent resection based on Bayesian network
Chen CHEN ; Yuhan WU ; Jingwei ZHANG ; Yinghe QIU ; Hong WU ; Qi LI ; Tianqiang SONG ; Yu HE ; Xianhan MAO ; Wenlong ZHAI ; Zhangjun CHENG ; Jingdong LI ; Shubin SI ; Zhiqiang CAI ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2021;59(4):265-271
Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.
5.Analysis of related factors for gallstones related gallbladder intraepithelial neoplasia and establishment of prediction models
Qi LI ; Jian ZHANG ; Jingbo SU ; Zhechuan JIN ; Yuhan WU ; Zhiqiang CAI ; Shubin SI ; Yuan DENG ; Dong ZHANG ; Zhimin GENG
Chinese Journal of Surgery 2021;59(4):272-278
Objective:To evaluate the related factors of gallstones related gallbladder intraepithelial neoplasia(GBIN) and establish the prediction models for gallstones related GBIN.Methods:The clinicopathological data of 750 patients who underwent cholecystectomy for gallstones at Department of Hepatobiliary Surgery of the First Affiliated Hospital of Xi′an Jiaotong University from January 2013 to December 2018 and the postoperative pathological examination showed chronic cholecystitis or GBIN were analyzed retrospectively,including 150 cases of gallstones with GBIN and 600 cases of gallstones with chronic cholecystitis.There were 264 males and 486 females with age of (51.3±14.5) years (range: 18 to 90 years).The related factors for gallstones related GBIN were screened by χ 2 test and Logistic regression model,and the prediction models were established based on independent related factors and internal validation was conducted.The original data were randomly divided into a training cohort(526 cases) and a validation cohort(224 cases) at a ratio of 7∶3,and the nomogram and tree augmented na?ve Bayes were conducted to establish the prediction model for gallstones related GBIN.The consistency index(C-index),calibration chart,area under the receiver operating characteristic curve(AUC) and confusion matrix were used to evaluate the prediction performance of the two models. Results:Univariate analysis showed that age,gallstones history(years),gallbladder size,whether the gallbladder mucosa smooth or not,whether the gallbladder wall thickened or not,gallstones diameter,and number of gallstones were related factors for the occurrence of gallstones related GBIN (χ2=19.957,8.599,9.724,9.301,8.341,15.288,9.169,all P<0.05).Multivariate analysis showed that age ( OR=2.23,95% CI:1.50-3.31, P<0.01),gallbladder size ( OR=2.11,95% CI:1.17-3.80, P=0.013),whether the gallbladder mucosa smooth or not ( OR=1.80,95% CI:1.13-2.88, P=0.014),gallstones diameter( OR=2.98,95% CI:1.71-5.21, P<0.01),and number of gallstones ( OR=2.14,95% CI:1.34-3.42, P<0.01) were independent related factors for the occurrence of gallstones related GBIN; the C-index of the nomogram in training cohort and validation cohort were 0.708 and 0.696,respectively.The AUC of the two models in training cohort were 70.60% and 70.73%,and in validation cohort were 68.14% and 67.47%,respectively.The accuracy of the two models in training cohort were 69.96% and 70.72%,and in validation cohort were 66.96% and 67.41%,respectively. Conclusion:Age,gallbladder size,whether the gallbladder mucosa smooth or not,gallstones diameter and number of gallstones are independent related factors for the occurrence of gallstones related GBIN,and the nomogram and tree augmented na?ve Bayes prediction models based on the above factors can be used to predict the occurrence of GBIN.
6.A prognostic model of intrahepatic cholangiocarcinoma after curative intent resection based on Bayesian network
Chen CHEN ; Yuhan WU ; Jingwei ZHANG ; Yinghe QIU ; Hong WU ; Qi LI ; Tianqiang SONG ; Yu HE ; Xianhan MAO ; Wenlong ZHAI ; Zhangjun CHENG ; Jingdong LI ; Shubin SI ; Zhiqiang CAI ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2021;59(4):265-271
Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.
7.Analysis of related factors for gallstones related gallbladder intraepithelial neoplasia and establishment of prediction models
Qi LI ; Jian ZHANG ; Jingbo SU ; Zhechuan JIN ; Yuhan WU ; Zhiqiang CAI ; Shubin SI ; Yuan DENG ; Dong ZHANG ; Zhimin GENG
Chinese Journal of Surgery 2021;59(4):272-278
Objective:To evaluate the related factors of gallstones related gallbladder intraepithelial neoplasia(GBIN) and establish the prediction models for gallstones related GBIN.Methods:The clinicopathological data of 750 patients who underwent cholecystectomy for gallstones at Department of Hepatobiliary Surgery of the First Affiliated Hospital of Xi′an Jiaotong University from January 2013 to December 2018 and the postoperative pathological examination showed chronic cholecystitis or GBIN were analyzed retrospectively,including 150 cases of gallstones with GBIN and 600 cases of gallstones with chronic cholecystitis.There were 264 males and 486 females with age of (51.3±14.5) years (range: 18 to 90 years).The related factors for gallstones related GBIN were screened by χ 2 test and Logistic regression model,and the prediction models were established based on independent related factors and internal validation was conducted.The original data were randomly divided into a training cohort(526 cases) and a validation cohort(224 cases) at a ratio of 7∶3,and the nomogram and tree augmented na?ve Bayes were conducted to establish the prediction model for gallstones related GBIN.The consistency index(C-index),calibration chart,area under the receiver operating characteristic curve(AUC) and confusion matrix were used to evaluate the prediction performance of the two models. Results:Univariate analysis showed that age,gallstones history(years),gallbladder size,whether the gallbladder mucosa smooth or not,whether the gallbladder wall thickened or not,gallstones diameter,and number of gallstones were related factors for the occurrence of gallstones related GBIN (χ2=19.957,8.599,9.724,9.301,8.341,15.288,9.169,all P<0.05).Multivariate analysis showed that age ( OR=2.23,95% CI:1.50-3.31, P<0.01),gallbladder size ( OR=2.11,95% CI:1.17-3.80, P=0.013),whether the gallbladder mucosa smooth or not ( OR=1.80,95% CI:1.13-2.88, P=0.014),gallstones diameter( OR=2.98,95% CI:1.71-5.21, P<0.01),and number of gallstones ( OR=2.14,95% CI:1.34-3.42, P<0.01) were independent related factors for the occurrence of gallstones related GBIN; the C-index of the nomogram in training cohort and validation cohort were 0.708 and 0.696,respectively.The AUC of the two models in training cohort were 70.60% and 70.73%,and in validation cohort were 68.14% and 67.47%,respectively.The accuracy of the two models in training cohort were 69.96% and 70.72%,and in validation cohort were 66.96% and 67.41%,respectively. Conclusion:Age,gallbladder size,whether the gallbladder mucosa smooth or not,gallstones diameter and number of gallstones are independent related factors for the occurrence of gallstones related GBIN,and the nomogram and tree augmented na?ve Bayes prediction models based on the above factors can be used to predict the occurrence of GBIN.
8.Analysis of the relationship between the number of lymph nodes examined and prognosis for curatively resected gallbladder carcinoma: a multi-institutional study
Rui ZHANG ; Yuhan WU ; Dong ZHANG ; Yongjie ZHANG ; Yinghe QIU ; Ning YANG ; Tianqiang SONG ; Jianying LOU ; Jiangtao LI ; Xianhai MAO ; Shengping LI ; Shubin SI ; Zhiqiang CAI ; Chen CHEN ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2020;58(4):303-309
Objective:To examine the role of the number of lymph nodes examined(NLNE) on the prognosis of patients with curatively resected gallbladder carcinoma(GBC).Methods:The clinicopathological data and prognosis of 401 patients with GBC who underwent radical surgery from six institutions of China from January 2013 to December 2017 were analyzed retrospectively. There were 153 males(38.2%) and 248 females(61.8%), with age of (62.0±10.5) years (range: 30-88 years). Fifty-three patients(22.2%) were accompanied by jaundice. All patients underwent radical resection+regional lymphadenectomy.R0 or R1 resection was confirmed by postoperative pathological examination.The different cut-off values of NLNE were determined by the X-tile software, the optimal cut-off values were identified by analyzing the relationship between different cut-off values of NLNE with survival rate. Kaplan-Meier method was used for survival analysis. Univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:Among the 401 patients enrolled, 135 cases (33.6%) had lymphatic metastasis, of which 98 cases were in N1 stage(24.4%) and 37 cases were in N2 stage(9.2%).A total of 2 794 NLNE were retrieved, with a median count of 6 (5).The median positive lymph nodes count was 0 (1), and the median positive lymph nodes ratio was 0 (IQR, 0-0.2). Since the 12 and 15 were determined as the cut-off values by X-tile, all patients were divided into three groups of 1-11, 12-15 and ≥16.The 3-year survival rate of the three groups was 45.2%, 74.5%, 12.0% respectively, with statistically significant difference between three groups (χ 2=10.94, P<0.01). The results of multivariate analysis showed that NLNE was an independent prognostic factor for overall survival ( P<0.05). Further analysis was performed specifically for subgroup of T stages. For T1b patients, the prognosis of the NLNE with 1-7 group was significantly better than that of the ≥8 group(χ 2=4.610, P<0.05). For T2 patients, the prognosis of the TLNE ≥7 group was significantly better than that of 1 -6 group (χ 2=4.287, P<0.05). For T3 and T4 patients, the prognosis of the TLNE with 12 - 15 group was significantly better than that of 1 -11 group (χ 2=5.007, P<0.01) and ≥16 group (χ 2=10.158, P<0.01). Conclusions:The NLNE is an independent factor affecting the prognosis of patients with GBC.For patients with stage T1b,8 lymph nodes should be retrieved; for patients with stage T2,extensive dissection of more than 6 lymph nodes can significantly improve the prognosis.For advanced patients (stages T3 and T4), extensive dissection with 12-15 lymph nodes is recommended. However, it fails to get more survival benefits by dissecting more than 16 lymph nodes.
9.Analysis of the relationship between the number of lymph nodes examined and prognosis for curatively resected gallbladder carcinoma: a multi-institutional study
Rui ZHANG ; Yuhan WU ; Dong ZHANG ; Yongjie ZHANG ; Yinghe QIU ; Ning YANG ; Tianqiang SONG ; Jianying LOU ; Jiangtao LI ; Xianhai MAO ; Shengping LI ; Shubin SI ; Zhiqiang CAI ; Chen CHEN ; Zhimin GENG ; Zhaohui TANG
Chinese Journal of Surgery 2020;58(4):303-309
Objective:To examine the role of the number of lymph nodes examined(NLNE) on the prognosis of patients with curatively resected gallbladder carcinoma(GBC).Methods:The clinicopathological data and prognosis of 401 patients with GBC who underwent radical surgery from six institutions of China from January 2013 to December 2017 were analyzed retrospectively. There were 153 males(38.2%) and 248 females(61.8%), with age of (62.0±10.5) years (range: 30-88 years). Fifty-three patients(22.2%) were accompanied by jaundice. All patients underwent radical resection+regional lymphadenectomy.R0 or R1 resection was confirmed by postoperative pathological examination.The different cut-off values of NLNE were determined by the X-tile software, the optimal cut-off values were identified by analyzing the relationship between different cut-off values of NLNE with survival rate. Kaplan-Meier method was used for survival analysis. Univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:Among the 401 patients enrolled, 135 cases (33.6%) had lymphatic metastasis, of which 98 cases were in N1 stage(24.4%) and 37 cases were in N2 stage(9.2%).A total of 2 794 NLNE were retrieved, with a median count of 6 (5).The median positive lymph nodes count was 0 (1), and the median positive lymph nodes ratio was 0 (IQR, 0-0.2). Since the 12 and 15 were determined as the cut-off values by X-tile, all patients were divided into three groups of 1-11, 12-15 and ≥16.The 3-year survival rate of the three groups was 45.2%, 74.5%, 12.0% respectively, with statistically significant difference between three groups (χ 2=10.94, P<0.01). The results of multivariate analysis showed that NLNE was an independent prognostic factor for overall survival ( P<0.05). Further analysis was performed specifically for subgroup of T stages. For T1b patients, the prognosis of the NLNE with 1-7 group was significantly better than that of the ≥8 group(χ 2=4.610, P<0.05). For T2 patients, the prognosis of the TLNE ≥7 group was significantly better than that of 1 -6 group (χ 2=4.287, P<0.05). For T3 and T4 patients, the prognosis of the TLNE with 12 - 15 group was significantly better than that of 1 -11 group (χ 2=5.007, P<0.01) and ≥16 group (χ 2=10.158, P<0.01). Conclusions:The NLNE is an independent factor affecting the prognosis of patients with GBC.For patients with stage T1b,8 lymph nodes should be retrieved; for patients with stage T2,extensive dissection of more than 6 lymph nodes can significantly improve the prognosis.For advanced patients (stages T3 and T4), extensive dissection with 12-15 lymph nodes is recommended. However, it fails to get more survival benefits by dissecting more than 16 lymph nodes.
10. Analysis on the short-term outcome of patients with acute myocardial infarction complicating cardiogenic shock due to left main disease
Chao GUO ; Haobo XU ; Xin DUAN ; Xiaoying HU ; Jun ZHANG ; Jia LI ; Xiaojin GAO ; Xiaoliang LUO ; Weixian YANG ; Fenghuan HU ; Yuan WU ; Shubin QIAO
Chinese Journal of Cardiology 2019;47(4):278-283
Objective:
To investigate the short-term outcome of patients with acute myocardial infarction complicating cardiogenic shock due to left main disease.
Methods:
A total of 24 patients with acute myocardial infarction complicating cardiogenic shock due to left main artery disease hospitalized in Fuwai hospital from June 2012 to May 2018 were included. The clinical data were analyzed,and the patients were divided into survivor group (11 cases) and death group (13 cases) according to survival status at 28 days post the diagnosis of shock. The patients were further divided into thrombolysis in myocardial infarction(TIMI) flow grade 0-2 group (11 cases) and TIMI flow grade 3 group (13 cases) according to TIMI flow grade after the procedure. The patients were then divided into non-three-vessel lesions group (14 cases) and three-vessel lesions group (10 cases) according to coronary angiography results.
Results:
Compared with survivor group, patients in death group presented with lower worst systolic blood pressure within 24 hours after admission (50(48, 70) mmHg (1 mmHg=0.133 kPa) vs. 73(70, 80) mmHg,

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