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Objective:To explore the predictive value of renal resistive index (RRI) joint with semiquantitative power Doppler ultrasound (PDU) score to acute kidney injury (AKI) in non-septic critically ill patients.Methods:This prospective observational study enrolled non-septic critically ill patients admitted to the Emergency Intensive Care Unit of Cangzhou Central Hospital from January 2018 to August 2019. In addition to general data, RRI and PDU scores were measured with medical ultrasonic instrument within 6 h after admission. Renal function was assessed on the 5th day in accordance with kidney disease: Improving Global Outcomes criteria. The patients who progressed to AKI stage 3 within 5 days after admission were classified into the AKI 3 group, and the rest were classified into the AKI 0-2 group. The difference of each index was compared between the two groups in non-septic critically ill patients and patients with acute heart failure (AHF). Normal distributed continuous variables were compared using independent sample t-tests, whereas Mann-Whitney U tests were used to examine the differences in variables without a normal distribution. Categorical data were compared with the Chi-square test. Receiver operator characteristic curves were plotted to examine the values of RRI, PDU score, RRI-RDU/10 (subtraction of RRI and 1/10 of PDU score), RRI/PDU (the ratio of RRI to PDU score), and RRI+PDU (the prediction probability of the combination of RRI and PDU score for AKI stage 3 obtained by logistic regression analysis) in predicting AKI 3. Delong's test was used to compare the area under the curve (AUC) between predictors. Results:A total of 110 non-septic critically ill patients (51 patients with no AKI, 21 with AKI stage 1, 11 with AKI stage 2, and 27 with AKI stage 3) were recruited. Among them, there were 63 patients with AHF (21 patients with no AKI, 15 with AKI stage 1, 7 with AKI stage 2, and 20 with AKI stage 3). Among the non-septic critically ill patients as well as its subgroup of AHF, compared with the AKI 0-2 group, acute physiology and chronic health evaluation-Ⅱ score, sequential organ failure assessment score, arterial lactate concentration, mechanical ventilation rate, proportion of vasoactive drugs, 28-day mortality, serum creatinine, RRI, RRI-RDU/10, RRI/PDU, RRI+PDU, and rate of continuous renal replacement therapy were higher in the AKI 3 group, and urine output and PDU score were lower ( all P<0.05). As for non-septic critically ill patients, RRI/PDU [AUC=0.915, 95% confidence interval ( CI): 0.846-0.959, P<0.01] and RRI+PDU (AUC=0.914, 95% CI: 0.845-0.959, P<0.01) performed best in predicting AKI 3, and the AUCs were higher than RRI (AUC=0.804, 95% CI: 0.718-0.874, P<0.01) and PDU score (AUC=0.868, 95% CI: 0.791-0.925, P<0.01). The optimal cutoff for RRI/PDU was > 0.355 (sensitivity 92.6%, specificity 81.9%, Youden index 0.745). The predictive value of RRI-RDU/10 for AKI 3 (AUC=0.899, 95% CI: 0.827-0.948, P<0.01) was also better than RRI and PDU scores, but slightly worse than RRI/PDU and RRI+PDU, with statistically difference only between RRI and RRI-RDU/10 ( P<0.05). As for patients with AHF, RRI/PDU (AUC=0.962, 95% CI: 0.880-0.994, P<0.01) and RRI+PDU (AUC=0.962, 95% CI: 0.880-0.994, P<0.01) also performed best in predicting AKI 3, and the AUCs were higher than RRI (AUC=0.845, 95% CI: 0.731-0.924, P<0.01) and PDU score (AUC=0.913, 95% CI: 0.814-0.969, P<0.01) with statistically differences (all P<0.05). The optimal cutoff for RRI/PDU was > 0.360 (sensitivity 95.0%, specificity 90.7%, Youden index 0.857). The predictive value of RRI-RDU/10 for AKI 3 (AUC=0.950, 95% CI: 0.864-0.989, P<0.01) was also better than RRI and PDU score, but slightly worse than RRI/PDU and RRI+PDU, with statistically difference only between RRI and RRI-RDU/10 ( P<0.05). Conclusions:The combination of RRI and PDU score could effectively predict AKI 3 in non-septic critically ill patients, especially in patients with AHF. The ratio of RRI to PDU score is recommended for clinical application because of its excellent predictive value for AKI and its practicability.
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Objective@#To explore the predicting performance of renal resistive index (RRI), semi quantitative power Doppler ultrasound (PDU) score and serum cystatin C (Cys C) for acute kidney injury (AKI) in patients with cardiac failure or sepsis.@*Methods@#A prospective, observational study was conducted. Critically ill patients with acute cardiac failure or sepsis admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 1st to December 31st in 2018 were enrolled. In addition to the demographic data, serum Cys C, RRI, and PDU score were measured within 6 hours after admission to ICU. Renal function was assessed on day 5 according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Patients who proceeded to AKI stage 2 or 3 within 5 days from admission were defined as the AKI 2-3 group; other patients were classified into the AKI 0-1 group. The differences of each index were compared in all patients, cardiac failure patients and sepsis patients between the two groups. Multivariate binary Logistic regression was carried out to identify the independent risk predictors of AKI 2-3. Receiver operator characteristic (ROC) curves were plotted to examine the values of Cys C, RRI, PDU score, and RRI+PDU in predicting AKI 2-3.@*Results@#Thirty-seven patients with cardiac failure (11 with no AKI, 10 with AKI stage 1, 3 with AKI stage 2, and 13 with AKI stage 3) and 26 patients with sepsis (8 with no AKI, 2 with AKI stage 1, 7 with AKI stage 2, and 9 with AKI stage 3) were recruited. In all patients as well as the subgroup of cardiac failure, compared with the AKI 0-1 group, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, sequential organ failure assessment (SOFA) score, rate of continuous renal replacement therapy (CRRT), 28-day mortality, serum creatinine (SCr), Cys C and RRI were higher in AKI 2-3 group, and urine output, PDU score were lower; in the subgroup of sepsis, rate of CRRT, SCr, and Cys C were higher in AKI 2-3 group, and urine output was lower. Multivariate Logistic regression analysis found that Cys C and PDU score were independent risk factors for AKI 2-3 in all patients [Cys C: odds ratio (OR) = 11.294, 95% confidence interval (95%CI) was 2.801-45.541, P = 0.001; PDU score: OR = 0.187, 95%CI was 0.056-0.627, P = 0.007]; RRI and PDU score were independent risk factors for AKI 2-3 in patients with cardiac failure [RRI (×10): OR = 6.172, 95%CI was 0.883-43.153, P = 0.067; PDU score: OR = 0.063, 95%CI was 0.007-0.584, P = 0.015]; Cys C was the independent risk factor for AKI 2-3 in patients with sepsis (OR = 22.830, 95%CI was 1.345-387.623, P = 0.030). It was shown by ROC curve analysis that: in the subgroup of cardiac failure, the predictive values of RRI, PDU score and Cys C were well [area under the curve (AUC) and 95%CI was 0.839 (0.673-0.942), 0.894 (0.749-0.971), 0.777 (0.610-0.897), all P < 0.01]. RRI+PDU performed best in predicting AKI (AUC = 0.956, 95%CI was 0.825-0.997, P < 0.01), and the predictive value was higher than Cys C [AUC (95%CI): 0.956 (0.825-0.997) vs. 0.777 (0.610-0.897), P = 0.034]. In the subgroup of sepsis, the predictive value of Cys C was well (AUC = 0.913, 95%CI was 0.735-0.987, P < 0.01), however, the predictive value of RRI, PDU, RRI+PDU were poor.@*Conclusions@#RRI and PDU score effectively predict AKI stage 2 or 3 in cardiac failure patients, but not in patients with sepsis. The predictive values of Cys C for AKI are similar in patients with cardiac failure or sepsis.
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Objective To explore the predicting performance of renal resistive index (RRI), semi quantitative power Doppler ultrasound (PDU) score and serum cystatin C (Cys C) for acute kidney injury (AKI) in patients with cardiac failure or sepsis. Methods A prospective, observational study was conducted. Critically ill patients with acute cardiac failure or sepsis admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 1st to December 31st in 2018 were enrolled. In addition to the demographic data, serum Cys C, RRI, and PDU score were measured within 6 hours after admission to ICU. Renal function was assessed on day 5 according to Kidney Disease:Improving Global Outcomes (KDIGO) criteria. Patients who proceeded to AKI stage 2 or 3 within 5 days from admission were defined as the AKI 2-3 group; other patients were classified into the AKI 0-1 group. The differences of each index were compared in all patients, cardiac failure patients and sepsis patients between the two groups. Multivariate binary Logistic regression was carried out to identify the independent risk predictors of AKI 2-3. Receiver operator characteristic (ROC) curves were plotted to examine the values of Cys C, RRI, PDU score, and RRI+PDU in predicting AKI 2-3. Results Thirty-seven patients with cardiac failure (11 with no AKI, 10 with AKI stage 1, 3 with AKI stage 2, and 13 with AKI stage 3) and 26 patients with sepsis (8 with no AKI, 2 with AKI stage 1, 7 with AKI stage 2, and 9 with AKI stage 3) were recruited. In all patients as well as the subgroup of cardiac failure, compared with the AKI 0-1 group, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, sequential organ failure assessment (SOFA) score, rate of continuous renal replacement therapy (CRRT), 28-day mortality, serum creatinine (SCr), Cys C and RRI were higher in AKI 2-3 group, and urine output, PDU score were lower; in the subgroup of sepsis, rate of CRRT, SCr, and Cys C were higher in AKI 2-3 group, and urine output was lower. Multivariate Logistic regression analysis found that Cys C and PDU score were independent risk factors for AKI 2-3 in all patients [Cys C: odds ratio (OR) = 11.294, 95% confidence interval (95%CI) was 2.801-45.541, P = 0.001; PDU score: OR = 0.187, 95%CI was 0.056-0.627, P = 0.007]; RRI and PDU score were independent risk factors for AKI 2-3 in patients with cardiac failure [RRI (×10): OR = 6.172, 95%CI was 0.883-43.153, P = 0.067; PDU score: OR = 0.063, 95%CI was 0.007-0.584, P = 0.015]; Cys C was the independent risk factor for AKI 2-3 in patients with sepsis (OR = 22.830, 95%CI was 1.345-387.623, P = 0.030). It was shown by ROC curve analysis that: in the subgroup of cardiac failure, the predictive values of RRI, PDU score and Cys C were well [area under the curve (AUC) and 95%CI was 0.839 (0.673-0.942), 0.894 (0.749-0.971), 0.777 (0.610-0.897), all P < 0.01]. RRI+PDU performed best in predicting AKI (AUC = 0.956, 95%CI was 0.825-0.997, P < 0.01), and the predictive value was higher than Cys C [AUC (95%CI): 0.956 (0.825-0.997) vs. 0.777 (0.610-0.897), P = 0.034]. In the subgroup of sepsis, the predictive value of Cys C was well (AUC = 0.913, 95%CI was 0.735-0.987, P < 0.01), however, the predictive value of RRI, PDU, RRI+PDU were poor. Conclusions RRI and PDU score effectively predict AKI stage 2 or 3 in cardiac failure patients, but not in patients with sepsis. The predictive values of Cys C for AKI are similar in patients with cardiac failure or sepsis.
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Objective To explore the predicting performance of renal resistive index (RRI), semi quantitative power Doppler ultrasound (PDU) score and serum cystatin C (Cys C) for acute kidney injury (AKI) in patients with cardiac failure or sepsis. Methods A prospective, observational study was conducted. Critically ill patients with acute cardiac failure or sepsis admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 1st to December 31st in 2018 were enrolled. In addition to the demographic data, serum Cys C, RRI, and PDU score were measured within 6 hours after admission to ICU. Renal function was assessed on day 5 according to Kidney Disease:Improving Global Outcomes (KDIGO) criteria. Patients who proceeded to AKI stage 2 or 3 within 5 days from admission were defined as the AKI 2-3 group; other patients were classified into the AKI 0-1 group. The differences of each index were compared in all patients, cardiac failure patients and sepsis patients between the two groups. Multivariate binary Logistic regression was carried out to identify the independent risk predictors of AKI 2-3. Receiver operator characteristic (ROC) curves were plotted to examine the values of Cys C, RRI, PDU score, and RRI+PDU in predicting AKI 2-3. Results Thirty-seven patients with cardiac failure (11 with no AKI, 10 with AKI stage 1, 3 with AKI stage 2, and 13 with AKI stage 3) and 26 patients with sepsis (8 with no AKI, 2 with AKI stage 1, 7 with AKI stage 2, and 9 with AKI stage 3) were recruited. In all patients as well as the subgroup of cardiac failure, compared with the AKI 0-1 group, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, sequential organ failure assessment (SOFA) score, rate of continuous renal replacement therapy (CRRT), 28-day mortality, serum creatinine (SCr), Cys C and RRI were higher in AKI 2-3 group, and urine output, PDU score were lower; in the subgroup of sepsis, rate of CRRT, SCr, and Cys C were higher in AKI 2-3 group, and urine output was lower. Multivariate Logistic regression analysis found that Cys C and PDU score were independent risk factors for AKI 2-3 in all patients [Cys C: odds ratio (OR) = 11.294, 95% confidence interval (95%CI) was 2.801-45.541, P = 0.001; PDU score: OR = 0.187, 95%CI was 0.056-0.627, P = 0.007]; RRI and PDU score were independent risk factors for AKI 2-3 in patients with cardiac failure [RRI (×10): OR = 6.172, 95%CI was 0.883-43.153, P = 0.067; PDU score: OR = 0.063, 95%CI was 0.007-0.584, P = 0.015]; Cys C was the independent risk factor for AKI 2-3 in patients with sepsis (OR = 22.830, 95%CI was 1.345-387.623, P = 0.030). It was shown by ROC curve analysis that: in the subgroup of cardiac failure, the predictive values of RRI, PDU score and Cys C were well [area under the curve (AUC) and 95%CI was 0.839 (0.673-0.942), 0.894 (0.749-0.971), 0.777 (0.610-0.897), all P < 0.01]. RRI+PDU performed best in predicting AKI (AUC = 0.956, 95%CI was 0.825-0.997, P < 0.01), and the predictive value was higher than Cys C [AUC (95%CI): 0.956 (0.825-0.997) vs. 0.777 (0.610-0.897), P = 0.034]. In the subgroup of sepsis, the predictive value of Cys C was well (AUC = 0.913, 95%CI was 0.735-0.987, P < 0.01), however, the predictive value of RRI, PDU, RRI+PDU were poor. Conclusions RRI and PDU score effectively predict AKI stage 2 or 3 in cardiac failure patients, but not in patients with sepsis. The predictive values of Cys C for AKI are similar in patients with cardiac failure or sepsis.
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Objective@#To determine the clinical significance of nontuberculous mycobacteria (NTM) isolated from respiratory specimens. @*Methods@#Clinical data of patients with NTM strains isolated from the respiratory tract between January 2014 and February 2017 were retrospectively analyzed. Clinical significance of NTM isolated strains was evaluated based on diagnostic criteria of NTM pulmonary diseases from American Thoracic Society (ATS). Quantitative data of two groups were analyzed by independent t test. Categorical data were analyzed by Pearson χ2 test or Fisher exact test. @*Results@#Totally 352 NTM strains from 257 patients had been isolated between January 2014 and February 2017. Among 15 identified NTM species, M. intracellular (51.7%, 182/352), M. abscessus (25.6%, 90/352), and M. avium (10.8%, 38/352) were predominant. Of the 157 patients with full clinical data involved in the analysis, 58 (36.9%) patients were determined to have definite disease, and 34 patients (21.7%) were designated as probable disease candidates, and 16 (10.2%) patients were regarded as uncertain disease, and 49(31.2%) patients were diagnosed as unlikely disease. The age of 58 patients with definite disease was (63.9±12.7) years, and 48.3% (28/58) were female. M. intracellulare (55.2%, 32/58) was the main cause of pulmonary NTM disease, followed by M. abscessus (25.9%, 15/58) and M. avium (12.1%, 7/58), while other NTM species only accounted for 6.8% (4/58). Definite cases with M. intracellulare, M. abscessus, M. avium, M. kansasii, M. marseillense, and M. columbia accounted for 35.2% (32/91), 57.7% (15/26), 7/15, 2/3, 1/3 and 1/2, respectively, among patients with corresponding isolations, while patients with other species of isolation did not meet the diagnostic criteria. Patients with clinical significant isolation of NTM were older than those without clinical significance (χ2=3.603, P=0.000), and proportion of anti-acid staining positivity of patients with clinical significance was higher than that of patients without clinical significance (χ2=18.815, P=0.000). The proportion of M. abscessus in patients with clinical significance was higher than that in patients without clinical significance (χ2=6.313, P=0.012). However, there was no significant difference between the two groups in the isolation of M. Gordon (Fisher exact test, P=0.028). The proportion of M. abscessus lung disease in women was 11/15, which was higher than that of M. intracellulare lung disease (41.5%, 17/41), and the difference between the two groups was statistically significant (χ2=4.462, P=0.035). There was no significant difference of clinical symptoms and underlying diseases in NTM lung disease among different groups (all P>0.05). In these patients with definite disease, 39.7% (23/58) of them manifested the upper lobe cavitary form, 53.4% (31/58) exhibited nodular bronchiectatic form, and only 6.9% (4/58) exhibited unclassified form. The upper lobe cavitary form (43.8%, 14/32) and the nodular bronchiectatic form (53.1%, 17/32) dominated in patients with M. intracellulare lung disease. M. abscessus lung disease was dominated by the nodular bronchiectatic form (11/15) while the upper lobe cavitary form only accounts for 3/15. There was no significant difference of image characteristics between NTM lung disease and other different groups (all P>0.05). @*Conclusions@#36.9% of the patients with NTM isolates met the ATS diagnostic criteria for NTM lung disease. Different species have different clinical significance. M. intracellulare and M. abscessus are the most predominant NTM isolated species that cause NTM lung disease. Majority of patients manifest as the upper lobe cavitary form, followed by the nodular bronchiectatic form.
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Objective To elaborate the changes of the soluble B cell-activating factor of the tumor necrosis factor family (BAFF) in the peripheral blood of chronic human immunodeficiency virus (HIV)-infected patients ,and to study the correlation between the soluble BAFF in HIV-infected patients and the progressions of acquired immune deficiency syndrome (AIDS).Methods Fifty untreated HIV outpatients and 30 healthy controls were recruited .According to the counts of CD4+T lymphocytes ,HIV-infected patients were divided into three groups ,＜ 200 cells／μL group , (200 － 350 ) cells／μL group and ＞350 cells／μL group .B cell counts and the BAFF levels were compared among the three groups and the healthy controls .The correlation analysis was conducted for the levels of BAFF ,the counts of CD4+T lymphocytes and B cells ,and viral load in HIV-infected patients .The value of BAFF in staging of HIV disease was identified by receiver operating characteristic (ROC) curve.Results The B cell counts were (90.3 ± 43.1)cells／μL in ＜200 cells／μL group ,(114 .4 ± 28 .8) cells／μL in (200 －350) cells／μL group ,and (162 .1 ± 29 .5) cells／μL in ＞350 cells／μL group and (307.1 ± 97 .0) cells／μL in healthy controls ,which was significantly different among the four groups (F＝47.92 ,P＜0.05).The concentrations of BAFF in the four groups were (1 737.5 ± 719.7) ,(962.8 ± 341.1) ,(859.8 ± 270.4) ,and (456.9 ± 163.7) ng／L ,with significant difference among the groups (F＝36.72 ,P＜0.05).The level of BAFF was negatively correlated with both B cell counts and CD4+T lymphocyte counts (r＝ －0.722 and －0.568 ,respectively ;both P＜0.05) ,and positively correlated with viral load (r＝0.607 ,P＜0 .05).The area under the ROC curve was 0 .881.If the level of BAFF was 1 281.5 ng／L ,the sensitivity and specificity to predict the period of AIDS were 74 .1% and 87.0%,respectively .Conclusion The levels of soluble BAFF in HIV-infected patients are significantly increased and related with the reduction of B cell counts and disease progression.
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Objective To study the correlation between CD169 expression of monocytes and disease progression in human immunodeficiency virus (HIV )-infected patients .Methods Sixty HIV-infected patients and 30 healthy controls were recruited .According to the CD4 + T lymphocyte counts ,HIV-infected patients were divided into three groups including < 200 cells/μL ,200 — 350 cells/μL and > 350 cells/μL groups . The differences in monocytes counts ,the proportions of CD16 + and CD169 + monocytes were analyzed among the three groups and healthy controls .The correlations between proportion of CD169 + monocytes and CD4 + T lymphocyte counts ,viral load ,and proportion of CD16 + monocytes were analyzed .Results The monocyte counts in CD4 + T lymphocytes < 200 cells/μL group , (200 — 350 ) cells/μL group , >350 cells/μL group and healthy control group were (342 ± 99) ,(396 ± 145) ,(365 ± 80) ,and (404 ± 106)/μL ,respectively ,which were not significantly different (F= 2 .55 , P > 0 .05) .The proportions of CD16 + monocytes in the four groups were (19 .8 ± 8 .8)％ ,(14 .3 ± 2 .8)％ ,(9 .7 ± 2 .0)％ and (4 .0 ± 0 .8)％ ,respectively ,which were significantly different ( F = 30 .90 , P < 0 .05 ) . The proportions of CD169 + monocytes in the four groups were (72 .6 ± 11 .4)％ ,(59 .4 ± 14 .7)％ ,(33 .3 ± 14 .5)％ and (2 .6 ± 0 .8)％ ,respectively ,which were significantly different (F = 152 .40 , P< 0 .05) .The proportion of CD169 + monocytes was negatively correlated with CD4 + T lymphocyte counts (r = 0 .792 , P< 0 .05) , while positively correlated with both viral load (r= 0 .485 ,P< 0 .05) and proportion of CD16 + monocytes (r= 0 .395 , P< 0 .05) .Conclusions The CD169 expressions of monocytes in HIV-infected patients are significantly increased and correlated with both monocyte activation and disease progression .
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Objective To investigate the isolation rate, distribution and trend of nontuberculous mycobacteria (NTM) in Wenzhou during 2014 to 2016.Methods Sputum or alveolar lavage specimens of patients with suspected pulmonary tuberculosis were collected for mycobacteria culture from January 2014 to December 2016.Mycobacterium culture positive strains were further identified by gene chip, 16S rRNA and hsp65 gene sequencing.SPSS 19.0 software was used to analyze the data.Results After excluding repetitive strains, 3 295 mycobacteria strains (MTB) were isolated from respiratory specimens, included 3 032 mycobacterium tuberculosis complex strains, 238 NTM strains, 20 Gordon genera strains, 3 Nocardia genera strains and 2 Tsukamurella genera strains.The proportion of NTM among confirmed mycobacteria was 8.5％ (86/1 006), 6.7％ (72/1 079) and 6.8％ (80/1 185) in 2014, 2015 and 2016, respectively (x2 =2.459,P ＞ 0.05).The overall prevalence of NTM was 7.3 ％ (238/3 270).There were 15 species of NTM, and the most common NTM strain was Mycobacterium intracellulare (52.5％,125/238), followed by Mycobacterium abscessus (22.7％, 54/238) and Mycobacterium avium (10.1％, 24/238), other species were only accounted for 14.7％ (35/238).The ranking of Mycobacterium avium went up rapidly from the fifth in 2014 to the second in 2016 (x2 =18.259, P ＜ 0.01), while proportion of Mycobacterium abscess, dropped from 34.9％ (30/86) in 2014 to 17.5％ (14/80) in 2016 (x2 =7.335, P＜0.01).Among patients from whom the NTM strains were isolated, 56.7％ (135/238) were male and most of them were aged 45 years or above (79.8％, 190/238).Conclusions In the past three years, the trend of NTM isolation rate in Wenzhou is steady.The most prevalent NTM species is Mycobacterium intracellulare, followed by Mycobacterium abscessus and Mycobacterium avium.Mycobacterium avium shows a continuously upward trend, while the separation of Mycobacterium abscessus shows a downward trend.
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This study was aimed to observe the regulating effect of Shen-Xiong Hua-Y u (SXHY) capsule precondi-tioning on the expression of subtypes of nitric oxide synthase (NOS), including endothelial nitric oxide synthase (eNOS), nervous nitric oxide synthase (nNOS), inducible nitric oxide synthase (iNOS), in cerebral ischemia-reperfu-sion injury (CIRI) among rats, and to further clarify the mechanism of protective effect by SXHY capsule on acute CIRI rats. Rats were randomly divided into the sham operation group, CIRI group, and SXHY capsule of high-, medium-, and low-dose preconditioning group (480, 240, 120 mg·kg-1). Each group was further randomly divided into different subgroups, which were the 3, 6, 12, 24, 48, 72 h group after 2 h CIRI (n=6). Intragastric administration was given once a day for 7 days. The middle cerebral artery occlusion (MCAO) and reperfusion model was repro-duced by an intraluminal filament method on the 7th day. The protein expressions of eNOS, nNOS and iNOS were measured by immunhistochemical method. The results showed that compared with the sham operation group, expres-sions of eNOS, nNOS and iNOS in the CIRI group were increased at different time points (i.e., 3, 6, 12, 24, 48, 72 h, P< 0.05 or P< 0.01). Compared with the CIRI group, eNOS expression increased at different time points in SX-HY capsule group (P< 0.05 or P< 0.01). The nNOS and iNOS expression decreased at different time points (P<0.05 or P < 0.01). Among them, the high-dose group was the group with the most obvious effect. It was concluded that SXHY capsule preconditioning had protective effect on CIRI. Its mechanism may be related to the regulation on protein expression of NOS subtypes.
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Objective To investigate the clinical features and effective treatment of patients with severe type A H1N1 flu in Wenzhou. Methods The clinical data of 42 hospitalized patients with severe type A H1N1 flu were analyzed and the clinical features were summarized. Results A total of 42 patients with severe type A H1N1 flu all began with fever and cough. The symptoms of expectoration, pharyngalgia, chilly accounted for 92. 9%, 90. 5% and 42. 9%, respectively. The peripheral leucocyte counts were normal or reduced. C-reactive protein and erythrocyte sedimentation rate levels both increased in 30 patients (71.4%). About 95.2% (40/42) patients had changes of pulmonary imaging. All of the patients were treated with oseltamivir and effective antibiotic drugs as well as symptomatic management. No patients was treated with glucocorticoid. The patients with underlying diseases were given proper treatment. Three cases were treated with antifungal therapy and 3 pregnant patients were timely terminated of pregnancy. Conclusions Severe type A H1N1 flu progresses rapidly and the lower respiratory tract is involved soon after onset. Therefore, the patient should be diagnosed early and treated promptly after presenting fever, which will lead to good prognosis.