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1.
J Nat Prod ; 81(6): 1483-1487, 2018 06 22.
Artículo en Inglés | MEDLINE | ID: mdl-29847131

RESUMEN

Two polyprenylated acylcyclopentanone racemates, evodialones A (1) and B (2), featuring a 3-ethyl-1,1-diisopentyl-4-methylcyclopentane skeleton, were isolated from an extract of the aerial parts of Evodia lepta. Evodialone A (1) was resolved by chiral-phase HPLC to afford a pair of enantiomers, (+)- and (-)-evodialones A (1b/1a), while evodialone B (2) could not be resolved. Their structures were elucidated by spectroscopic analysis and a combination of computational techniques including gauge-independent atomic orbital calculation of 1D NMR data and experimental and TDDFT-calculated ECD spectra. A putative biosynthetic pathway of 1 and 2 starting from the monocyclic polyprenylated acylphloroglucinols is proposed. All the isolates were screened for the antimicrobial activity in vitro, and 1a and 1b showed moderate inhibitory activities against several pathogenic fungi with MICs values of 17.1-68.3 µM.


Asunto(s)
Ciclopentanos/química , Evodia/química , Rutaceae/química , Antiinfecciosos/química , Antiinfecciosos/farmacología , Ciclopentanos/farmacología , Concentración 50 Inhibidora , Espectroscopía de Resonancia Magnética/métodos , Floroglucinol/química , Floroglucinol/farmacología
2.
Front Med (Lausanne) ; 8: 731445, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34650997

RESUMEN

Background: This study aimed to develop and validate an electronic frailty index (eFI) based on routine electronic health records (EHR) for older adult inpatients and to analyze the correlations between frailty and hospitalized events and costs. Methods: We created an eFI from routine EHR and validated the effectiveness by the consistency of the comprehensive geriatric assessment-frailty index (CGA-FI) with an independent prospective cohort. Then, we analyzed the correlations between frailty and hospitalized events and costs by regressions. Results: During the study period, 49,226 inpatients were included in the analysis, 42,821 (87.0%) of which had enough data to calculate an eFI. A strong correlation between the CGA-FI and eFI was shown in the validation cohort of 685 subjects (Pearson's r = 0.716, P < 0.001). The sensitivity and specificity for an eFI≥0.15, the upper tertile, to identify frailty, defined as a CGA-FI≥0.25, were 64.8 and 88.7%, respectively. After adjusting for age, sex, and operation, an eFI≥0.15 showed an independent association with long hospital stay (odds ratio [OR] = 2.889, P < 0.001) and death in hospital (OR = 19.97, P < 0.001). Moreover, eFI values (per 0.1) were positively associated with total costs (ß = 0.453, P < 0.001), examination costs (ß = 0.269, P < 0.001), treatment costs (ß = 0.414, P < 0.001), nursing costs (ß = 0.381, P < 0.001), pharmacy costs (ß = 0.524, P < 0.001), and material costs (ß = 0.578, P < 0.001) after adjusting aforementioned factors. Conclusions: We successfully developed an effective eFI from routine EHR from a general hospital in China. Frailty is an independent risk factor for long hospital stay and death in hospital. As the degree of frailty increases, the hospitalized costs increase accordingly.

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