The identification significance of C-reactive protein (CRP) and procalcitonin (PCT) levels in the intensive care unit patients with combined infection and their prognostic effects of patients with sepsis was investigated. A total of 203 patients were divided into the sepsis (n=60) and the non-sepsis group (n=143). The predictive effects of CRP and PCT levels in patients in the intensive care unit on sepsis and their effects on the prognosis of patients with sepsis were analyzed. The results showed that CRP and PCT levels in patients in the sepsis were higher than those in the non-sepsis group (P<0.05); CRP and PCT levels in patients who died of sepsis at 1 week and 2 weeks after admission were not statistically different to those before admission (P>0.05); CRP and PCT levels in patients surviving sepsis at 1 week after admission were significantly decreased compared with those at admission (P<0.05). CRP and PCT levels in patients at 2 weeks after admission were significantly decreased compared with those at admission (P<0.05). CRP and PCT levels in patients who died of sepsis were higher than those surviving sepsis (P<0.05). Logistic regression analysis showed that the higher the CRP and PCT levels were, the worse the patients' conditions would be, and the higher the risk of death would be (r=0.732, P=0.012; r=0.826, P=0.007); besides, PCT had a higher value in predicting the poor prognosis of patients [PCT: Area under the curve (AUC)=0.734, CRP: AUC=0.699]; the univariate Cox regression analysis revealed that CRP, PCT and age may be the risk factors for poor prognosis in patients. CRP and PCT can be used to identify whether the patients in the intensive care unit are infected or not. The dynamic monitoring of CRP and PCT has important clinical significance in predicting the prognosis of patients with sepsis.

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The effects of captopril and valsartan on ventricular remodeling and inflammatory cytokines after interventional therapy for acute myocardial infarction (AMI) were investigated. A total of 94 patients with AMI admitted to Honggang Hospital of Dongying from July 2016 to June 2017 were selected as study subjects. The patients were treated with interventional therapy and randomly divided into the observation group (n=47) and the control group (n=47). The control group received aspirin after operation, while the observation group received captopril and valsartan after operation. Three-dimensional ultrasonography was performed to evaluate ventricular remodeling. The related parameters included left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular ejection fraction (LVEF), end-systolic sphericity index/end-diastolic sphericity index (ESSI/EDSI), systolic dyssynchrony index (SDI), diastolic dyssynchrony index (DDI), dispersion end systole (DISPES), DDI-late and DISPED-late. The levels of inflammatory cytokines were determined by enzyme-linked immunosorbent assay (ELISA). The incidence of adverse reactions after treatment was compared. After treatment, LVEF in the control group was significantly lower than that in the observation group, while LVEDV, LVESV and the ratio of early diastolic (E) and late diastolic (A) (E/A) in the control group were significantly higher than those in the observation group (p<0.05). EDSI, DDI-late and DISPED-late in the control group were significantly higher than those in the observation group (p<0.05). ESSI, SDI and DISPES in the control group were significantly higher than those in the observation group (p<0.05). The levels of interleukin-6 (IL-6), high-sensitivity C-reactive protein (hs-CRP) and tumor necrosis factor-α (TNF-α) in the observation group were significantly lower than those in the control group at 1, 4 and 8 weeks after treatment (p<0.05). The administration of captopril and valsartan after interventional therapy for AMI can effectively improve the cardiac function of patients, improve the synchronism of left ventricular diastole and contraction, and reduce the level of inflammation. It is safe and reliable, and has important clinical significance.

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Due to the lack of support from the main grid, the intermittency of renewable energy sources (RESs) and the fluctuation of load will derive uncertainties to the operation of islanded microgrids (IMGs). It is crucial to allocate appropriate reserve capacity for the economic and reliable operation of IMGs. With the high penetration of RESs, it faces both economic and environmental challenges if we only use spinning reserve for reserve support. To solve these problems, a multi-type reserve scheme for IMGs is proposed according to different operation characteristics of generation, load, and storage. The operation risk due to reserve shortage is modeled by the conditional value-at-risk (CVaR) method. The correlation of input variables is considered for the forecasting error modeling of RES and load, and Latin hypercube sampling (LHS) is adopted to generate the random scenarios of the forecasting error, so as to avoid the dimension disaster caused by conventional large-scale scenario sampling approaches. Furthermore, an optimal day-ahead scheduling model of joint energy and reserve considering riskbased reserve decision is established to coordinate the security and economy of the operation of IMGs. Finally, the comparison of numerical results of different schemes demonstrate the rationality and effectiveness of the proposed scheme and model. Index Terms--Day-ahead scheduling, risk-based reserve decision, conditional value-at-risk (CVaR), renewable energy source (RES), islanded microgrids.

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