Objective:To explore the application of interactive communication mode combined with problem-based learning in clinical teaching of undergraduate nursing students so as to provide basis for nursing teaching reform.Methods:A total of 62 undergraduate nursing students in Beijing Jishuitan Hospital were selected. Among them, 32 cases from September to November 2018 received traditional teaching (the control group), and 30 cases from September to November 2019 were given interactive communication mode combined with problem-based learning (the observation group). The assessment results, comprehensive ability, clinical communication ability, scientific research ability, and feedback results of teaching quality were compared between the two groups.Results:After intervention, the total score of assessment in the observation group was (90.62 ± 4.75) points, higher than that in the control group (83.84 ± 5.01) points, there was significant difference ( t=5.46, P<0.05). After intervention, the scores of observation ability, operation ability and teamwork ability in the observation group were (3.51 ± 0.59), (3.75 ± 0.50), (4.30 ± 0.77) points, higher than those in the control group (3.18 ± 0.44), (3.22 ± 0.46), (3.53 ± 0.81) points, there were significant differences ( t=2.51,4.35, 3.83, all P<0.05). After intervention, the scores of clinical communication and keen listening, determining patients′ problems, participating together, sending effective information, establishing harmonious doctor-patient relationship, and verifying perception ability in the observation group were (83.61 ± 10.18), (81.66 ± 8.92), (84.01 ± 9.17), (83.25 ± 9.73), (80.90 ± 9.99), (84.15 ± 8.08) points, higher than those in the control group (73.91 ± 9.73), (74.95 ± 8.05), (76.02 ± 8.22), (73.16 ± 8.02), (74.61 ± 8.54), (76.08 ± 8.25) points, there were significant differences ( t values were 2.67-4.47, all P<0.05). After intervention, the scores of literature reading ability, data processing ability and paper writing ability in the observation group were (14.29 ± 1.54), (13.02 ± 1.29), (14.91 ± 1.50) points, higher than those in the control group (13.08 ± 1.43), (11.44 ± 1.24), (12.36 ± 1.28) points, there were significant differences ( t=3.21, 4.92, 7.22, all P<0.05). The feedback scores of students about improving nursing humanistic quality, professional self-identity, learning interest, communication ability, clinical thinking ability and innovation ability in the observation group were (4.26 ± 0.75), (4.43 ± 0.81), (4.25 ± 0.77), (4.18 ± 0.66), (4.44 ± 0.90), (4.38 ± 0.94) points, higher than those in the control group (3.51 ± 0.64), (3.79 ± 0.70), (3.48 ± 0.84), (3.40 ± 0.76), (3.83 ± 0.89), (3.60 ± 0.89) points, there were significant differences ( t values were 2.68-4.30, all P<0.05). Conclusions:The interactive communication mode combined with problem-based learning can effectively improve assessment results of undergraduate nursing students, and promote the improvement of their comprehensive quality, which is conducive to the improvement of clinical communication ability and scientific research ability in nursing students.

OBJECTIVE: To investigate the diagnostic value of Hepcidin as a sepsis biomarker in critically ill adults. METHODS: An observational study was conducted. The patients with suspected or proven infection admitted to intensive care unit (ICU) of Zhoupu Hospital Affiliated to Shanghai University of Medicine and Health Sciences from March 2016 to November 2017 were enrolled. According to the third international consensus definitions for sepsis and septic shock (Sepsis-3), the patients were divided into non-sepsis group and sepsis group, and the septic patients were subdivided into general sepsis subgroup and septic shock subgroup according to the severity of disease. The differences in serum Hepcidin, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), procalcitonin (PCT), C-reactive protein (CRP), white blood cell (WBC), neutrophil granulocytes (NEUT) and lactic acid (Lac) within 1 hour after ICU admission between non-sepsis and sepsis groups and among the sepsis subgroups were compared. The acute physiology and chronic health evaluation II (APACHE II) within 24 hours after ICU admission and sequential organ failure score (SOFA) were recorded, and the mortality rate was followed up for 28 days. Receiver operation characteristic curve (ROC) was used to evaluate and compare the diagnostic value of Hepcidin and PCT, CRP, WBC for sepsis. Logistic regression model was used to estimate the association between Hepcidin and sepsis. Spearman correlation analysis was used to analyze the correlation between Hepcidin and other parameters of sepsis patients. RESULTS: A total of 183 patients were enrolled, 93 in the non-sepsis group and 90 in the sepsis group (48 with general sepsis and 42 with septic shock). (1) The levels of Hepcidin, IL-6, TNF-α, PCT, Lac in serum, and APACHE II and SOFA scores in the sepsis group were significantly higher than those in the non-sepsis group. ROC analysis showed that the area under the ROC curve (AUC) of Hepcidin and PCT for sepsis diagnosis were 0.865 [95% confidence interval (95%CI) = 0.807-0.911] and 0.848 (95%CI = 0.788-0.897), respectively, without statistical significance (Z = 0.443, P = 0.657). Furthermore, the AUC of Hepcidin for sepsis diagnosis was significantly higher than that of the conventional biomarkers CRP and WBC [AUC was 0.530 (95%CI = 0.455-0.604) and 0.527 (95%CI = 0.452-0.601), respectively] with statistical significance (both P < 0.01). When Hepcidin > 54.00 μg/L, its sensitivity for sepsis diagnosis was 95.56%, specificity was 66.67%, positive and negative predictive value was 73.51% and 93.94%, respectively. Parallel test was conducted for combination of Hepcidin and PCT, which showed that the AUC was 0.885, and the sensitivity and negative predictive value was significantly improved to 98.96% and 98.36%, respectively. Logistic regression analysis demonstrated that after adjusted for PCT, Hepcidin > 54.00 μg/L was also associated with sepsis independently, with odds ratio (OR) of 1.011 (95%CI = 1.008-1.015, P < 0.001), indicating that Hepcidin and PCT were not completely overlapped in the diagnosis of sepsis. (2) With the increase in infection severity, serum Hepcidin, PCT, IL-6, TNF-α, Lac, APACHE II, SOFA score and 28-day mortality all showed an increasing trend in patients. There was a significantly positive correlation between Hepcidin and IL-6, TNF-α, PCT, APACHE II, and SOFA in the sepsis patients (r value was 0.526, 0.449, 0.591, 0.359, and 0.374, respectively, all P < 0.01), but no correlation was found between Hepcidin and Lac (r = 1.104, P > 0.05). CONCLUSIONS: Serum Hepcidin is a useful biomarker for the diagnosis of sepsis, and it is correlated to the severity of the sepsis. The combination of Hepcidin and PCT can improve the accuracy of diagnosis of sepsis. CLINICAL TRIAL REGISTRATION China Clinical Trial Registration Center, ChiCTR-DDD-16008522.
Adult ; Biomarkers ; C-Reactive Protein ; Calcitonin ; Calcitonin Gene-Related Peptide ; China ; Critical Illness ; Hepcidins ; Humans ; Prognosis ; Protein Precursors ; ROC Curve ; Sepsis

Objective: To investigate the diagnostic value of Hepcidin as a sepsis biomarker in critically ill adults. Methods: An observational study was conducted. The patients with suspected or proven infection admitted to intensive care unit (ICU) of Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health Sciences from March 2016 to November 2017 were enrolled. According to the third international consensus definitions for sepsis and septic shock (Sepsis-3), the patients were divided into non-sepsis group and sepsis group, and the septic patients were subdivided into general sepsis subgroup and septic shock subgroup according to the severity of disease. The differences in serum Hepcidin, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), procalcitonin (PCT), C-reactive protein (CRP), white blood cell (WBC), neutrophil granulocytes (NEUT) and lactic acid (Lac) within 1 hour after ICU admission between non-sepsis and sepsis groups and among the sepsis subgroups were compared. The acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) within 24 hours after ICU admission and sequential organ failure score (SOFA) were recorded, and the mortality rate was followed up for 28 days. Receiver operation characteristic curve (ROC) was used to evaluate and compare the diagnostic value of Hepcidin and PCT, CRP, WBC for sepsis. Logistic regression model was used to estimate the association between Hepcidin and sepsis. Spearman correlation analysis was used to analyze the correlation between Hepcidin and other parameters of sepsis patients. Results: A total of 183 patients were enrolled, 93 in the non-sepsis group and 90 in the sepsis group (48 with general sepsis and 42 with septic shock).① The levels of Hepcidin, IL-6, TNF-α, PCT, Lac in serum, and APACHEⅡand SOFA scores in the sepsis group were significantly higher than those in the non-sepsis group. ROC analysis showed that the area under the ROC curve (AUC) of Hepcidin and PCT for sepsis diagnosis were 0.865 [95% confidence interval (95%CI) = 0.807-0.911] and 0.848 (95%CI = 0.788-0.897), respectively, without statistical significance (Z = 0.443, P = 0.657). Furthermore, the AUC of Hepcidin for sepsis diagnosis was significantly higher than that of the conventional biomarkers CRP and WBC [AUC was 0.530 (95%CI = 0.455-0.604) and 0.527 (95%CI = 0.452-0.601), respectively] with statistical significance (both P < 0.01). When Hepcidin > 54.00 μg/L, its sensitivity for sepsis diagnosis was 95.56%, specificity was 66.67%, positive and negative predictive value was 73.51% and 93.94%, respectively. Parallel test was conducted for combination of Hepcidin and PCT, which showed that the AUC was 0.885, and the sensitivity and negative predictive value was significantly improved to 98.96% and 98.36%, respectively. Logistic regression analysis demonstrated that after adjusted for PCT, Hepcidin > 54.00 μg/L was also associated with sepsis independently, with odds ratio (OR) of 1.011 (95%CI = 1.008-1.015, P < 0.001), indicating that Hepcidin and PCT were not completely overlapped in the diagnosis of sepsis. ② With the increase in infection severity, serum Hepcidin, PCT, IL-6, TNF-α, Lac, APACHEⅡ, SOFA score and 28-day mortality all showed an increasing trend in patients. There was a significantly positive correlation between Hepcidin and IL-6, TNF-α, PCT, APACHEⅡ, and SOFA in the sepsis patients (r value was 0.526, 0.449, 0.591, 0.359, and 0.374, respectively, all P < 0.01), but no correlation was found between Hepcidin and Lac (r = 1.104, P > 0.05). Conclusions: Serum Hepcidin is a useful biomarker for the diagnosis of sepsis, and it is correlated to the severity of the sepsis. The combination of Hepcidin and PCT can improve the accuracy of diagnosis of sepsis. Clinical trial registration China Clinical Trial Registration Center, ChiCTR-DDD-16008522.

OBJECTIVES: To analyze the clinicopathological features of maxillofacial granular cell tumors (GCT) with the aid of immunohistochemical staining. METHODS: Seven cases of maxillofacial GCT were retrospectively collated, and the microscopic morphology of maxillofacial GCT was analyzed. The expression of S-100, neuron-specific enolase (NSE), SOX-10, CD68, actin, desmin, and Ki-67 in GCT was detected by immunohistochemical staining. The cases were observed in the follow-ups after clinical treatment. RESULTS: All seven GCT tumors lacked envelopes and were poorly defined. Microscopically, the sizes of the tumor cells were large and appeared with inconspicuous cell membranes, forming a syncytium-like appearance. The cytoplasm was filled with characteristic eosinophilic granules. The immunohistochemical results showed that six cases were NSE-positive, five cases were S-100-positive, seven cases were CD68-positive, five cases were SOX-10-positive, one case was actin-positive, and seven cases were desmin-negative. The Ki-67 index did not exceed 5% in all cases. In the follow-up sessions, none of the six cases presented a recurrence. CONCLUSIONS Maxillofacial GCT has a characteristic histological structure. Immunohistochemical S-100, CD68, and other indicators can assist in diagnosis, and the prognosis is good after clinical resection.
Humans ; Ki-67 Antigen/metabolism* ; Granular Cell Tumor/surgery* ; Retrospective Studies ; Actins/metabolism* ; Desmin/metabolism* ; S100 Proteins/metabolism*