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Objective To construct a nomogram model for predicting the risk of in-hospital death in CHF patients by using noninvasive hemodynamic monitoring combined with age,DBP,CRP and renal insufficiency(serum creatinine≥ 442 μmol/L).Methods A total of 223 elderly patients with acute onset of CHF admitted in First,Second Medical Centre of Chinese PLA General Hos-pital from September 2022 to March 2023 were recruited in this study.According to their clinical outcomes,they were divided into survival group(196 cases)and death group(27 cases).Based on the in-hospital death and other related indicators,a nomogram model was constructed to predict the risk factors of in-hospital death in CHF.Results Noninvasive hemodynamic mornitoring indi-cated that the death group had significantly higher LVEF and LCWI values but lower LVEDV value than the survival group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age(OR=1.131,95％CI:1.052-1.213,P=0.001),DBP(OR=0.932,95％CI:0.882-0.982,P=0.011),CRP(OR=1.171,95％CI:1.021-1.352,P=0.024),LVEDV(OR=0.984,95％CI:0.962-0.992,P=0.011)and renal insufficiency(OR=5.863,95％CI:1.351-1.731,P=0.004)were independent risk factors for the short-term prognosis of the elderly CHF patients.The AUC value of the nomogram model was 0.902(95％CI:0.819-0.948,P＜0.05),and calibration curve analysis showed the C-index was 0.902,indicating accurate predictive perform-ance.Conclusion Age,DBP,LVEDV,CRP and renal insufficiency are independent risk factors for the short-term prognosis of the elderly CHF patients.
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Objective:To investigate frailty in older patients with comorbidities and explore related risk factors.Methods:A cross-sectional study was conducted with an enrollment of 746 patients aged 65 years or older with comorbidities in the Wanshoulu Road area of Beijing from April 2019 to December 2020.A total of 617 patients with comorbidities were finally included, aged(85.6±4.8)years, including 358 women(58.0%); According to the FRAIL scale, 617 patients with comorbidities were divided into a frail group(156 cases, 25.3%)and a non-frail group(461 cases, 74.7%). Demographic data and information on comorbidities were collected.Univariate and multivariate Logistic regression analyses of risk factors were conducted.Results:Among 617 patients with comorbidities, the common chronic diseases in descending order were hypertension(497 cases, 80.6%), coronary heart disease(375 cases, 60.8%), osteoporosis(357 cases, 57.9%), osteoarthritis(281 cases, 45.5%), type 2 diabetes(211 cases, 34.2%), stroke and/or transient ischemic attack(193 cases, 31.3%), chronic lung disease(144 cases, 23.3%), tumor(133 cases, 21.6%), chronic kidney disease(92 cases, 14.9%), and heart failure(58 cases, 9.4%). Univariate logistic regression analysis showed that age, type 2 diabetes, coronary heart disease, heart failure, chronic lung disease, stroke/transient ischemic attack, cancer and osteoarthritis were influencing factors for frailty( P<0.05). Multivariate logistic regression analysis showed that age, type 2 diabetes, heart failure, chronic lung disease, cancer and osteoarthritis were risk factors for frailty( OR=1.076, 1.806, 3.275, 3.371, 1.640, 2.227, all P<0.05). Conclusions:Old age, type 2 diabetes, heart failure, chronic lung disease, tumor and osteoarthritis are closely related to frailty in elderly patients with comorbidities.Proactive and effective prevention and intervention should be instituted to target risk factors for frailty to reduce the occurrence of adverse outcomes.
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The parathyroid hormone related peptide (PTHrP) participates in regulating calcium and phosphorus metabolism and multiple organ growth,and plays an important role in the processes of malignant tumor bone metastasis and hypercalcemia.Currently,more and more researches have confirmed that PTHrP can be secreted by a variety of types of tumor cells.PTHrP participates in regulating tumor cell proliferation and invasion,and it is closely related to the prognosis of patients,which provides a new target of cancer treatment.
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An α-amylase inhibitor (α-AI) was isolated from white kidney beans (Phaseolus vulgaris. L) by ethanol fractional precipitation, ion exchange chromatography and gel filtration column chromatography. It was a homogeneity glycoprotein demonstrated by SDS-PAGE and gel filtration on CL-6B. The glycoprotein contained 88.2% protein and was rich in aspartic acid, glutamic acid, leucine, threonine and serine. The carbohydrate moiety was consisted of Man, Glc, Gal and Xyl in a mole ratio of 2.42∶1.50∶1.52∶1.00. The glycan and the core protein backbone was connected by O-linkage as determined by β-elimination reaction. The continuous oral administration of the α-AI (150 mg·kg-1·d-1 ) for 7 days can lower fasting blood glucose and 300 mg·kg-1 ·d-1 α-AI for 7 days can improve the sugar tolerance on alloxan-dependent diabetic model rats. The result showed the α-AI obtained from white kidney beans had good hypoglycemic effect on alloxan induced diabetic rats and may have high potential pharmaceutical value as a regulative digestive-starch degradation in patients suffering from diabetes.
