Objective To analyze the characteristics and influencing factors of sleep disorders and nocturnal hypoxemia of patients with different degrees of obstructive sleep apnea-hypopnea syndrome (OSAHS). Methods Four hundred and twenty-five patients with snoring were scored by Epworth Sleepiness Scale ( ESS), and monitored by polysomnography (PSG). The possible correlations between sleep structure, hypoxia parameters, ESS and clinical features were analyzed and compared in those patients. Results Four hundred and twenty-five patients were divided into 4 groups according to the apnea-hypopnea index (AHI). There were 65 primary snoring patients (15.3%) and 360 OSAHS patients (84. 7% ) including 187 patients (44. 0% ) in severe OSAHS group. ESS was increased as aggravation of OSAHS. There were significant statistical differences in ESS among each group. Compared with primary snoring group, sleep efficiency, NREM1 + 2, oxygen desaturation index ( ODI), time with pulse oxygen saturation below 90% (T(SpO2 <90% ) ) were significantly higher in the OSAHS groups, and NREM3 +4, lowest pulse oxygen saturation level ( LSpO2 ) were lower. ESS was correlated positively with AHI (r= 0. 474,P <0. 01 ). They were both correlated positively with ODI, T (SpO2 <90% ) and NREM1 + 2( ESSr =0. 392, 0. 356,0. 194;AHI r = 0. 714, O. 682, 0. 365, all P < 0. 01 ), and correlated negatively with LSpO2, NREM3 + 4 ( ESS r = - 0. 414, - 0. 196; AHI r = - 0. 740, - 0. 385, both P < 0. 01 ). LSpO2, ODI and T (SpO2 < 90% ) were the primary influencing factors. Common clinical presentations and subjective symptoms were presented including daytime sleepiness, impaired memory, fatigue, dry mouth, oppressive wake and morning headache, etc. Percentage of individuals with daytime sleepiness in the severe OSAHS group was 73. 3% (137/187). These had serious impact on the patients' quality of life, leading to difficulty concentrating, poor memory and cognitive impairment. Conclusions Sleep disorders are found in the patients with different degrees of OSAHS. The excessive daytime sleepiness interrelated partly with the structure of sleep, and totally with hypoxia parameters. The more severity the patients have, the more nocturnal hypoxia, sleep disorders and higher ESS are found.

OBJECTIVETo develop an HPLC method for the quantification of six active components in three species (Swertia davidi, S. nervosa and S. mussotii) .

METHODThe determination was performed on a Hypersil BDS colunm (4. 6 mm x 200 mm, 5 microm). Acetonitrile and 0.5% phosphoric acid solution were used as the mobile phases with a gradient elution. The flow rate was 1.0 mL x min(-1). The UV detection wavelength was at 240, 274, 325 and 334 nm. The column oven temperature was at 25 degrees C.

RESULTSix components were separated commendably in 60 minutes. The calibration curves of swertiamarin, gentiopicroside, norswertianolin, swertianolin, demethylbellidifolin and bellidifolin were in good linearity over the range of 0.520-20.8, 0.202-8.06, 0.107-4.28, 0.097-3.86, 0.094-3.77, 0.101-4.02 microg, respectively (r = 0.999 9). The average recoveries were 98.7%, 98.1%, 98.3%, 98.8%, 98.1% and 98.6%, respectively, and the RSD were less than 3.0% (n = 6).

CONCLUSIONThe method is accurate,simple and reproducible, and can be used to control the quality of Swertia.

Chromatography, High Pressure Liquid ; instrumentation ; methods ; Drugs, Chinese Herbal ; analysis ; Glucosides ; analysis ; Iridoid Glucosides ; Iridoids ; analysis ; Pyrones ; analysis ; Swertia ; chemistry ; Xanthones ; analysis

Objective:To explore independent predictors for poor outcome at 3 months in elderly patients with acute cerebral infarction(ACI)treated with intravenous thrombolysis(IVT), and to develop a nomogram-based predictive model.Methods:This was a retrospective cohort study.Clinical, laboratory and imaging data of 346 elderly patients with ACI treated with IVT from January 2016 to April 2021 in our hospital were collected.Poor outcome was defined as a modified Rankin Scale(mRS)score >2 at 3 months after the stroke.Logistic regression analysis was used to screen for independent factors predicting poor outcome in elderly ACI patients treated with IVT, and a corresponding nomogram model was developed using the R software.The ROC curve, calibration plots and decision curve analysis were used to evaluate discrimination, calibration and clinical application value of the nomogram model.Results:Among 346 candidates, 109 developed a poor outcome, representing a rate of 31.5%.Logistic regression analysis showed that symptomatic hemorrhagic transformation( OR=15.647, 95% CI: 8.913-27.454), stroke severity(moderate stroke, OR=3.322, 95% CI: 1.414-7.811; moderate-severe stroke, OR=8.169, 95% CI: 4.102-16.258; severe stroke, OR=9.653, 95% CI: 5.440-17.121), stroke-associated pneumonia( OR=2.239, 95% CI: 1.134-4.420), and heart failure( OR=2.758, 95% CI: 1.424-5.336)were independent predictors for poor outcome at 3 months in elderly ACI patients treated with intravenous thrombolysis(all P<0.05). With the area under curve(AUC-ROC)value at 0.85(95% CI: 0.80-0.89), the nomogram model, which was composed of the above four predictors, demonstrated good discrimination.On the calibration plot, the mean absolute error was 0.020, indicating that the model had good calibration.Decision curve analysis revealed that the model had good clinical application value. Conclusions:The nomogram model composed of symptomatic hemorrhagic transformation, stroke severity, stroke-associated pneumonia and heart failure may predict poor outcome at 3 months in elderly ACI patients treated with IVT, with high prediction accuracy and high clinical application value.

OBJECTIVETo investigate the value of serum IgA/C3 ratio in the diagnosis of IgA nephropathy and explore its relationship with the clinicopathological features of the patients.

METHODSSixty-six patients with IgA nephropathy, 111 with other glomerular diseases, and 40 healthy control subjects without kidney disease were tested for serum IgA and C3 levels using CRM470 adjusted standardized immune turbidimetric method, and the IgA/C3 ratio was calculated. According to Oxford and Lee's classification criteria, we analyzed the pathological grades of the renal biopsy samples from patients with IgA nephropathy. The ROC curve was used to assess the value of serum IgA and IgA/C3 ratio in predicting IgA nephropathy.

RESULTSPatients with IgA nephropathy had an elevated serum IgA/C3 ratio than those with other glomerular diseases and the control subjects, with an area under the ROC curve of 0.776. An elevated serum IgA/C3 ratio was not found to significantly correlate with the pathological grade of renal biopsy samples in patients with IgA nephropathy.

CONCLUSIONIn the absence of renal biopsy findings, serum IgA/C3 ratio can help in the diagnosis of IgA nephropathy.

Biopsy ; Case-Control Studies ; Complement C3 ; analysis ; Glomerulonephritis, IGA ; blood ; diagnosis ; Humans ; Immunoglobulin A ; blood ; Kidney ; pathology