1.Study on the HPLC Characteristics of Fructus Schisandrae Chinensis Ertract by Low-temperature Water-extract Method
Huiling WEN ; Mansha LI ; Wenyao SONG
Traditional Chinese Drug Research & Clinical Pharmacology 1993;0(03):-
Objective To establish a HPLC determination method for the effective constituents extracted from Fructus Schisandrae Chinensis by low-temperature water extraction.Methods The assay was conducted on Kromasil C18 column(250 mm? 4.6 mm,5 ? m)using a gradient elution with acetonitrile-water as mobile phase.The flow rate was set at 1.0 mL/min,column temperature was kept at 30 ℃,and the detection wavelength was at 240 nm.Results The linear range for schizandrol A was 5.0~ 200.0 ? g/mL(r=0.999 9),and the average recovery was 101.27 % with RSD being 1.97 %(n=6).Conclusion The method is simple,reliable and reproducible for the determination of schizandrol A.It can be used for quality control of preparations including Fructus Schisandrae Chinensis.
2.Circulating biomarker- and magnetic resonance-based nomogram predicting long-term outcomes in dilated cardiomyopathy.
Yupeng LIU ; Wenyao WANG ; Jingjing SONG ; Jiancheng WANG ; Yi FU ; Yida TANG
Chinese Medical Journal 2024;137(1):73-81
BACKGROUND:
Dilated cardiomyopathy (DCM) has a high mortality rate and is the most common indication for heart transplantation. Our study sought to develop a multiparametric nomogram to assess individualized all-cause mortality or heart transplantation (ACM/HTx) risk in DCM patients.
METHODS:
The present study is a retrospective cohort study. The demographic, clinical, blood test, and cardiac magnetic resonance imaging (CMRI) data of DCM patients in the tertiary center (Fuwai Hospital) were collected. The primary endpoint was ACM/HTx. The least absolute shrinkage and selection operator (LASSO) Cox regression model was applied for variable selection. Multivariable Cox regression was used to develop a nomogram. The concordance index (C-index), area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA) were used to evaluate the performance of the nomogram.
RESULTS:
A total of 218 patients were included in the present study. They were randomly divided into a training cohort and a validation cohort. The nomogram was established based on eight variables, including mid-wall late gadolinium enhancement, systolic blood pressure, diastolic blood pressure, left ventricular ejection fraction, left ventricular end-diastolic diameter, left ventricular end-diastolic volume index, free triiodothyronine, and N-terminal pro-B type natriuretic peptide. The AUCs regarding 1-year, 3-year, and 5-year ACM/HTx events were 0.859, 0.831, and 0.840 in the training cohort and 0.770, 0.789, and 0.819 in the validation cohort, respectively. The calibration curve and DCA showed good accuracy and clinical utility of the nomogram.
CONCLUSIONS
We established and validated a circulating biomarker- and CMRI-based nomogram that could provide a personalized prediction of ACM/HTx for DCM patients, which might help risk stratification and decision-making in clinical practice.
Humans
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Cardiomyopathy, Dilated/diagnostic imaging*
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Contrast Media
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Nomograms
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Retrospective Studies
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Stroke Volume
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Gadolinium
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Ventricular Function, Left
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Magnetic Resonance Imaging
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Biomarkers
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Magnetic Resonance Spectroscopy