1.Expression and significance of PD-1 and PD-L1 in the specimens of epithelial ovarian cancer
Ce JU ; Jingchun GAO ; Pengxin ZHANG ; Kaina ZHANG ; Sen YANG ; Tiejin KANG ; Hongzhen ZHAO ; Wenjing QI ; Qiuping ZHANG ; Fandou KONG ; Hongwei GUAN ; Hong SHI
Chinese Journal of Obstetrics and Gynecology 2020;55(8):529-534
Objective:To examine the expression of programmed cell death 1 (PD-1) and its ligand (PD-L1) in epithelial ovarian cancer (EOC) tissues, and investigate the correlation among their expression, clinicopathological features and prognosis.Methods:The specimens of 180 patients with EOC treated in the First Affiliated Hospital of Dalian Medical University from October 2002 to December 2013 were confirmed by pathological examination. The pathological tissue specimens of subtypes ,included 120 cases of serous carcinoma, 30 cases of mucinous carcinoma, 20 cases of endometrioid carcinoma, and 20 cases of clear cell carcinoma. The normal paracancerous tissues of 50 cases randomly selected from the 180 patients as control group. Immunohistochemical SP method was used to detect the expressions of both PD-1 and PD-L1 in epithelial ovarian cancer tissues, and the relationships among their expressions,the clinicopathological parameters and prognosis were respectively analyzed.Results:(1) PD-1 was expressed in lymphocytes infiltrated in EOC tissues, and PD-L1 was expressed in the cell membranes of cancer tissues. In all EOC cases, 33 cases (18.3%, 33/180) of both PD-1 and PD-L1 were highly expressed, and only 1 (2.0%, 1/50) of control group showed high expression. There was statistically significant difference between two groups ( P<0.01). (2) Among the four subtypes tissue specimens of EOC, the high expression rate of PD-1 was 25.0% (30/120) for serous carcinoma, 3/15 for endometrioid carcinoma, 0 (0/30) for mucinous carcinoma, and 0 (0/15) for clear cell carcinoma. The high expression rate of PD-L1 was 23.3% (28/120) for serous carcinoma, 3.3% (1/30) for mucinous carcinoma, 2/15 for endometrioid carcinoma, and 2/15 for clear cell carcinoma. Both PD-1 and PD-L1 expressions in the four sub-types of tissue specimens were significantly different ( P<0.05). The high expression rate of both PD-1 and PD-L1 was 9.2% (8/87) in the early stage and 26.9% (25/93) in the late stage. There was a statistically significant difference between the two groups ( P<0.01). Similarly, the expression of both PD-1 and PD-L1 were significantly higher in the cases of high-grade EOC (type Ⅱ) than those of low-grade (type Ⅰ) and in the cases of EOC distributed bilaterally than that distributed unilaterally, and there were statistically significant differences ( P<0.05). (3) The Kaplan-Meier survival analysis showed that the survival time were respectively 35 and 36 months in the cases with high expressions of both PD-1 and PD-L1, and the survival time were the same as 61 months in the cases with low expression of both PD-1 and PD-L1, and the comparison was statistically significant ( P<0.05). Conclusions:The expression levels of PD-1 and PD-L1 in EOC tissues are higher than those in adjacent tissues, especially in serous carcinomas. The expression of both PD-1 and PD-L1 is higher in specimens of the patients with advanced stages. The results showed that the high expression of both PD-1 and PD-L1 is an indicator of poor prognosis of patients suffering from EOC.
2.T lymphocyte subsets combined with inflammatory indicators for auxiliary diagnosis and prognosis evaluation of sepsis.
Feng Fan LI ; Lei YANG ; Dong Qiang WANG ; Wen Ju HE ; Ce WANG ; Hong MU
Chinese Journal of Preventive Medicine 2022;56(4):494-502
Objective: To explore the application value of T lymphocyte subsets combined with procalcitonin (PCT), C-reactive protein (CRP), neutrophil to lymphocyte ratio (NLR) and white blood cell count (WBC) in the auxiliary diagnosis and prognosis evaluation of sepsis. Methods: In a retrospective study, seventy-two patients with sepsis diagnosed and treated in Tianjin First Central Hospital from June 2018 to April 2021 were selected as the research objects, and included in the sepsis group were 46 males and 26 females, aged 68 (57.3, 80.3) years. In addition, 111 patients with local infection admitted to hospital during the same period were included in the local infection group, including 62 males and 49 females, aged 68 (51, 77) years. Sepsis patients were divided into survival group (43 cases) and death group (29 cases) according to the 28-day outcome. CD3+, CD4+, CD8+, CD4+/CD8+ ratio were detected by flow cytometry within 24 h after admission, PCT was detected by ELISA, CRP was detected by immunoturbidimetry, blood routine examination, blood lactic acid (Lac) and oxygen partial pressure (PO2) were detected by instrumental method. Multivariate Logistic regression analysis was used to evaluate the correlation between each indicator and sepsis, and receiver operating characteristic curve (ROC) was drawn to evaluate the diagnostic value of each indicator for sepsis. Multivariate Logistic regression analysis and Kaplan Meier survival analysis were used to evaluate the prognostic value of each index for patients with sepsis. Results: Peripheral blood CD3+, CD4+, CD8+, CD4+/CD8+ ratio and PLT in sepsis group were significantly lower than those in local infection group(Z=-8.184,P<0.001;Z=-7.210,P<0.001;Z=-5.936,P<0.001;Z=-2.700,P=0.007;Z=-6.381,P<0.001); PCT, CRP, NLR and Lac levels were significantly higher than those in local infection group(Z=-8.262,P<0.001;Z=-3.094,P=0.002;Z=-9.004,P<0.001;Z=-4.770,P<0.001). Multivariate Logistic regression model showed that PCT, NLR, CD3+, CD8+, CD4+/CD8+ were independent risk factors for sepsis. According to ROC curve analysis, AUC of sepsis patients diagnosed by each indicator were 0.862, 0.894, 0.858, 0.760 and 0.618, respectively. The cut-off values were 3.075 ng/ml, 10.715, 44.935×109/L, 27.463×109/L and 0.750, respectively. The NLR sensitivity was 80.6%, and the CD3+ specificity was 94.6%. The AUC of combined detection of PCT and NLR was 0.947, sensitivity was 87.5% and specificity was 91.9%. The combined detection AUC of PCT, NLR, CD3+, CD4+/CD8+ was 0.958, the sensitivity and specificity were 90.3% and 91.0% respectively(P<0.001). PCT and Lac in death group were significantly higher than those in survival group(Z=-2.302,P=0.021;Z=-3.095,P=0.002);Peripheral blood CD4+/CD8+ levels were significantly lower than those in survival group(Z=-3.691,P<0.001),Multivariate Logistic regression model showed that CD4+/CD8+ ratio was an independent risk factor for 28 d mortality in patients with sepsis (P<0.001). The ROC curve showed that the AUC was 0.758, and the Youden index reached the maximum when the cut-off value was 1.27, the sensitivity and specificity were 79.3% and 60.5%, respectively. Compared with patients with CD4+/CD8+ ≥1.27, 28-day mortality was significantly increased in patients with CD4+/CD8+<1.27 (P=0.032). Conclusion: The combined detection of PCT, NLR, CD3+ and CD4+/CD8+ can improve the auxiliary diagnostic efficiency of sepsis, and the ratio of CD4+/CD8+ in peripheral blood may have certain predictive value for the prognosis of sepsis.
Aged
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C-Reactive Protein/analysis*
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Female
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Humans
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Male
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Middle Aged
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Procalcitonin
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Retrospective Studies
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Sepsis/diagnosis*
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T-Lymphocyte Subsets/chemistry*
3.Predictive values of serum 8-hydroxydeoxyguanosine on disease progression and prognosis of patients with sepsis.
Xiao Rong CHEN ; Dan Wei JIANG ; Ya Hui TANG ; Chang XU ; Shao Ce ZHI ; Guang Liang HONG ; Zhong Qiu LU ; Guang Ju ZHAO
Chinese Journal of Burns 2022;38(3):207-214
Objective: To investigate the values of serum 8-hydroxydeoxyguanosine (8-OHdG) in predicting disease progression and prognosis of patients with sepsis. Methods: The prospective observational research methods were used. A total of 124 patients with sepsis who met the inclusion criteria were admitted to the Department of Emergency of the First Affiliated Hospital of Wenzhou Medical University from April 2015 to July 2016, including 79 males and 45 females, aged (62±15) years. The sepsis-related organ failure assessment (SOFA) scores of all patients on admission and on the second day of admission and their difference (ΔSOFA) were calculated. The patients were divided into non-progression group with ΔSOFA score <2 (n=101) and progression group with ΔSOFA score ≥2 (n=23), and according to the survival during hospitalization, the patients were divided into survival group (n=85) and death group (n=39). Data of patients between non-progression group and progression group, survival group and death group were compared, including the gender, age, days in emergency intensive care unit (ICU), smoking, hypertension, diabetes mellitus, serum white blood cell count, serum C-reactive protein, and serum procalcitonin on admission, and serum 8-OHdG within 24 h of admission. The multivariate logistic regression analysis was used to screen the independent risk factors of disease progression and death during hospitalization in 124 patients with sepsis, the receiver's operating characteristic (ROC) curves were drawn according to the independent risk factors, and the area under the curve (AUC), the best threshold, and the sensitivity and specificity under the best threshold were calculated. The patients were divided into high 8-OHdG group (n=35) and low 8-OHdG group (n=89) according to the best threshold in ROC curve of death during hospitalization. The data including the gender, age, SOFA score on admission, SOFA score on the second day of admission, and ΔSOFA score of patients in the two groups were compared. The survival rates of patients within 90 d of admission in the two groups were compared by the Kaplan-Meier method. Data were statistically analyzed with independent sample t test, Mann-Whitney U test, chi-square test, and Log-rank test. Results: The gender, age, days in emergency ICU, smoking, complicated with hypertension, complicated with diabetes mellitus, serum white blood cell count, serum C-reactive protein, and serum procalcitonin on admission of patients in non-progression group and progression group were similar (P>0.05). The serum 8-OHdG within 24 h of admission of patients in progression group was significantly higher than that in non-progression group (Z=-2.31, P<0.05). Multivariate logistic regression analysis showed that the serum 8-OHdG within 24 h of admission was the independent risk factor for disease progression of 124 patients with sepsis (odds ratio=1.06, with 95% confidence interval of 1.01-1.11, P<0.05). The AUC under the ROC curve of serum 8-OHdG within 24 h of admission to predict disease progression of 124 patients with sepsis was 0.65 (with 95% confidence interval of 0.52-0.79, P<0.05), the optimal threshold was 32.88 ng/mL, and the sensitivity and specificity under the optimal threshold was 52.2% and 79.2%, respectively. The gender, age, days in emergency ICU, smoking, complicated with hypertension, complicated with diabetes mellitus, and serum white blood cell count, serum C-reactive protein, and serum procalcitonin on admission of patients in survival group and death group were similar (P>0.05). The serum 8-OHdG within 24 h of admission of patients in death group was significantly higher than that in survival group (Z=-2.37, P<0.05). Multivariate logistic regression analysis showed that the serum 8-OHdG within 24 h of admission was the independent risk factor for death of 124 patients with sepsis (odd ratio=1.04, with 95% confidence interval of 1.00-1.09, P<0.05). The AUC under the ROC curve of serum 8-OHdG within 24 h of admission to predict death of patients during hospitalization was 0.63 (with 95% confidence interval of 0.52-0.75, P<0.05), the optimal threshold was 32.43 ng/mL, the sensitivity and specificity under the optimal threshold was 51.3% and 84.7%, respectively. The gender and age of patients in high 8-OHdG group and low 8-OHdG group were similar (P>0.05). The SOFA score on admission, SOFA score on the second day of admission, and ΔSOFA score of patients in high 8-OHdG group were significantly higher than those in low 8-OHdG group (with Z values of -2.49, -3.01, and -2.64, respectively, P<0.05 or P<0.01). The survival rate within 90 d of admission of patients in low 8-OHdG group was significantly higher than that in high 8-OHdG group (χ2=14.57, P<0.01). Conclusions: Serum 8-OHdG level is an independent risk factor for disease progression and death in sepsis patients with limited ability for predicting disease progression and prognosis of sepsis of patients. The patients with higher serum 8-OHdG level have higher death risk within 90 d of admission.
8-Hydroxy-2'-Deoxyguanosine
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Aged
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Disease Progression
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Female
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Humans
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Male
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Middle Aged
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Prognosis
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ROC Curve
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Retrospective Studies
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Sepsis
4.Burnout Among Critical Care Personnel In Intensive Care Unit During COVID-19 Pandemic In A Malaysian Tertiary Hospital
E-Li LEONG ; Chii-Chii CHEW ; Ju-Ying ANG ; Ce-Cin GOH ; Audrey Hee-Mun LEOW ; Keren Seok-Luan LIM ; Muhammad-Khaidir MOHD SHAFFIE ; Kit-Weng FOONG
Malaysian Journal of Medicine and Health Sciences 2023;19(No.2):104-111
Introduction: During the early phase of Coronavirus disease (COVID-19), there were various uncertainties, which had a detrimental impact on the prevalence of burnout among critical care personnel worldwide. This study aims to investigate the prevalence of burnout and its associated factors in critical care personnel involved in the COVID-19
pandemic.
Methods: This is a single-center, cross-sectional study with 81 critical care personnel for a survey using Copenhagen Burnout Inventory. Binary logistic regression analysis was conducted to identify factors associated with personal burnout.
Results: More than half of the respondents were female (60.5%) over the age of 30 (61.7%), and 54.3% were medical doctors. A large number (72.8%) of the respondents experienced personal burnout, with twothirds of them experiencing work-related (65.4%) and client-related burnout (59.3%). Personal burnout was found to be associated with those who had children [OR: 11.31 (1.90, 67.37), p = 0.008], stayed with family, relatives, or friends [OR: 9.40 (1.27, 69.46), p = 0.028], were medical doctors [OR: 26.52 (2.79, 252.22), p = 0.004], worked more than 45 hours per week [OR: 8.68 (1.45, 58.09), p = 0.018], and previously never had COVID-19 viral test
[OR: 6.93 (1.17, 40.89), p = 0.033].
Conclusion: Overall, more than half of the critical care personnel experienced burnout. There were possible associations between personal burnout with social characteristics such as having children and living with family, relatives, or friends, and occupational characteristics such as being a medical doctor, long working hours, and previously never had COVID-19 viral test.