[Electroacupuncture for acute exacerbation of chronic obstructive pulmonary disease complicated with gastrointestinal dysfunction: a randomized controlled trial].

OBJECTIVE: To observe the clinical effect of electroacupuncture (EA) for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) complicated with gastrointestinal dysfunction. METHODS: A total of 100 patients with AECOPD complicated with gastrointestinal dysfunction were randomly divided into an EA group (50 cases, 2 cases dropped off, 1 case excluded) and a medication group (50 cases). Both groups were treated with symptomatic and supportive treatment such as low flow oxygen, nebulized inhalation of short-acting ß2 agonist (SABA) or short-acting muscarinic antagonist (SAMA) combined with inhaled corticosteroid (ICS). The EA group was treated with EA at Zusanli (ST 36), Yinlingquan (SP 9), Zhongwan (CV 12), Shuifen (CV 9), Tianshu (ST 25), Chize (LU 5) and Lieque (LU 7), with discontinuous wave, 2 Hz in frequency, 30 min each time, once a day. In the medication group, oral mosapride citrate tablets were given, 3 times a day, 5 mg each time. Both groups were treated for 5 d. Before and after treatment, the gastrointestinal symptom rating scale (GSRS) score was observe, serum procalcitonin (PCT), C-reactive protein (CRP), and plasma oxygenation index (PaO2/FiO2) were detected, and patient satisfaction degree was evaluated in the two groups. RESULTS: Compared with before treatment, except for diarrhea dimension in the medication group, the total scores and each dimension scores of GSRS were decreased (P<0.05), serum PCT and CRP were decreased (P<0.05), plasma PaO2/FiO2 was increased (P<0.05) in the two groups after treatment. After treatment, in the EA group, the total score and abdominal pain, dyspepsia, constipation and diarrhea scores of GSRS were lower than those in the medication group (P<0.05), meanwhile serum PCT and CRP were lower and plasma PaO2/FiO2 was higher than those in the medication group (P<0.05). The improvement of gastrointestinal symptoms, life quality and overall satisfaction degree in the EA group were superior to those in the medication group (P<0.05). CONCLUSION: EA could improve the symptoms of patients with AECOPD complicated with gastrointestinal dysfunction, reduce inflammatory response, improve oxygenation and patient satisfaction degree.

Construction and Evaluation of a Nomogram to Predict Gallstone Disease Based on Body Composition.

Purpose: We aimed to analyze the body composition characteristics of gallstone disease (GD) patients with bioelectrical impedance analysis (BIA) and to construct a nomogram to predict GD based on body composition. Methods: Patients with or without symptomatic cholecystolithiasis or choledocholithiasis diagnosed in Inner Mongolia People's Hospital from July 2020 to December 2021 were selected as the case group, and healthy subjects during the same period were selected as the control group. The body composition of the two groups was determined by BIA. The risk predictors for GD were extracted to construct a nomogram based on regression analysis. ROC curves were used to evaluate the predictive power of the nomogram, and calibration curves were drawn to evaluate the consistency of the model. The bootstrap method was used to verify the model and evaluate the generalizability of the model. Results: A total of 1000 individuals were recruited for the study, including 500 GD cases and 500 controls, to evaluate body composition. Multivariate logistic regression analysis showed that sex (OR = 2.292, 95% CI: 1.436-3.660), BMI (OR = 1.828, 95% CI: 1.738-1.929), body fat percentage (BFP) (OR = 1.904, 95% CI: 1.811-2.205) and waist circumference (WC) (OR = 1.934, 95% CI: 1.899-1.972) were risk predictors of GD. The AUC was 0.770 (95% CI: 0.741-0.799). The calibration curve showed that the C-index was 0.767. The prediction model was validated internally with 1000 bootstrap resamples. The accurate value was 0.72, and the kappa value was 0.43. All of the indices indicated that the model was well constructed and could be used to predict the incidence of GD. Conclusion: A nomogram model of gallstone disease based on sex, BMI, BFP and WC was constructed with good discrimination, calibration and generalizability and can be used for the noninvasive and convenient prediction of gallstone disease in the general population.