Objective:To evaluate the effect of modified Shengjiang Powder acupoint application on hypertension patients with phlegm-heat syndrome. Methods:A total of 61 patients in Shijiazhuang hospital of traditional chinese medicine (TCM) meeting the inclusion criteria from September 2018 to September 2019 were randomly divided into two groups, the treatment group was 30 cases, the control group was 31 cases. The control group was given Amlodipine Besylate Tablets orally, and the treatment group added modified Shengjiang Powder acupoint application, and both groups were treated for 4 weeks. TCM syndrome scores were performed before and after treatment, and 24 h ambulatory blood pressure were measured with an ambulatory blood pressure monitor, including daytime mean systolic blood pressure (dMSBP), daytime mean diastolic blood pressure (dMDBP), night time mean systolic blood pressure (nMSBP), and night time mean diastolic blood pressure (nMDBP), 24-hour mean systolic blood pressure (24 hMSBP), 24-hour mean diastolic blood pressure (24 hMDSBP) and blood pressure circadian rhythm detection. Results:After treatment, the nMSBP and 24 hMSBP in the treatment group were significantly lower than those control group ( t values were -2.331,-1.511, P values were 0.045, 0.033), the blood pressure circadian rhythm [(8.87 ± 8.33)% vs. (6.94 ± 6.12)%, t=1.034] of the treatment group was significantly higher than those of the control group ( P<0.05); mdizziness, headache, head wraps, vomiting, sputum salivation, upset, mouth pain, insomnia scores of the treatment group after treatment were significantly lower than those in the control group ( P<0.05). Conclusion:The modified Shengjiang Powder acupoint application can reduce the blood pressure level of hypertension patients with phlegm-heat syndrome, especially for the improvement of night blood pressure, and improve the clinical symptoms.

Objective To investigate the composition of symptom clusters in early postoperative breast cancer patients and analyze the sentinel symptoms of each cluster of symptoms. Methods A total of 309 patients who underwent mastectomy were conveniently sampled and surveyed using the Chinese version of the Anderson Symptom Inventory. Principal component analysis and varimax orthogonal rotation were employed to analyze the symptom clusters, and their associations were analyzed using the Apriori algorithm model to identify the sentinel symptoms of each cluster of symptoms. Results Three symptom clusters were identified in early postoperative breast cancer patients: neuro-sleep symptom cluster [fatigue (weakness)-distress-pain-sleepiness-restless sleep], sensory-perception symptom cluster (numbness-forgetfulness-shortness of breath-sadness-dry mouth), and digestive system symptom cluster (nausea-vomiting-loss of appetite). Fatigue was the sentinel symptom of the neuro-sleep symptom cluster, numbness was the sentinel symptom of the sensory-perception symptom cluster, and nausea was the sentinel symptom of the digestive system symptom cluster. Conclusion Early postoperative breast cancer patients experience multiple symptom clusters, with sentinel symptoms existing in each cluster. Healthcare staff should develop intervention measures based on sentinel symptoms to improve the efficiency of symptom management and reduce the degree of symptom distress for patients.