ABSTRACT
INTRODUCTION: This study was conducted to observe the effect of transcutaneous electrical acupoint stimulation (TEAS) on the postoperative sleep quality of patients undergoing gastrointestinal tumor surgery and to verify the possible mechanism. METHODS: Eighty-three patients were allocated to the TEAS or Sham group. Patients in the TEAS group received TEAS treatment (disperse-dense waves; frequency, 2/100 Hz) on bilateral Shenmen (HT7), Neiguan (PC6) and Zusanli (ST36) points for 30 min each time, total three times in the perioperative period. In the Sham group, electrodes were placed; however, no current was given. Sleep quality was assessed on the day before surgery (P1) and the first and third days after surgery (D1 and D3) using the Pittsburgh Sleep Quality Index (PSQI) and Athens Insomnia Scale (AIS). Postoperative pain was assessed using visual analog scale (VAS) 72 h postoperatively. The incidences of abdominal distension, dizziness, postoperative nausea and vomiting (PONV) and pulmonary complications were recorded. Serum levels of inflammatory cytokines and the expression of key factors of oxidative stress and key molecules of the nuclear factor erythroid 2-related factor 2/antioxidant response element (Nrf2/ARE) signal pathway were measured. RESULTS: TEAS ameliorated sleep quality at D1 and D3 (PSQI P < 0.05, AIS P < 0.05) and decreased postoperative pain as demonstrated by lower VAS scores compared to the Sham group (P < 0.05). The incidences of abdominal distension and PONV were also lower in the TEAS group. Markers of oxidative stress were increased (P < 0.05), and the serum concentration of interleukin-6 (IL-6) was significantly lower in the TEAS group. The key mediators of the Nrf2/ARE pathway were enhanced after TEAS. CONCLUSION: Perioperative TEAS improved postoperative sleep quality, reduced postoperative pain and alleviated postoperative adverse effects in patients undergoing laparoscopic gastrointestinal tumor surgery resection. This may be associated with activating Nrf2/ARE signal pathway and decreasing its inflammatory actions. TRIAL REGISTRATION: Chinese Clinical Trial Registry ( http://www.chictr.org.cn/index.aspx ), ChiCTR2100054971.
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BACKGROUND: It remains controversial as to which pathological classification is most valuable in predicting the overall survival (OS) of patients with gastric cancer (GC). AIM: To assess the prognostic performances of three pathological classifications in GC and develop a novel prognostic nomogram for individually predicting OS. METHODS: Patients were identified from the Surveillance, Epidemiology, and End Results program. Univariate and multivariate analyses were performed to identify the independent prognostic factors. Model discrimination and model fitting were evaluated by receiver operating characteristic curves and Akaike information criteria. Decision curve analysis was performed to assess clinical usefulness. The independent prognostic factors identified by multivariate analysis were further applied to develop a novel prognostic nomogram. RESULTS: A total of 2718 eligible GC patients were identified. The modified Lauren classification was identified as one of the independent prognostic factors for OS. It showed superior model discriminative ability and model-fitting performance over the other pathological classifications, and similar results were obtained in various patient settings. In addition, it showed superior net benefits over the Lauren classification and tumor differentiation grade in predicting 3- and 5-year OS. A novel prognostic nomogram incorporating the modified Lauren classification showed superior model discriminative ability, model-fitting performance, and net benefits over the American Joint Committee on Cancer 8th edition tumor-node-metastasis classification. CONCLUSION: The modified Lauren classification shows superior net benefits over the Lauren classification and tumor differentiation grade in predicting OS. A novel prognostic nomogram incorporating the modified Lauren classification shows good model discriminative ability, model-fitting performance, and net benefits.
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PURPOSE: To investigate the correlation between number of retrieved lymph nodes (rLNs) and prognosis and further ascertain the optimal number of rLNs with a beneficial survival impact in patients with pN0 colon cancer. METHODS: The Surveillance, Epidemiology, and End Results (SEER) database was searched for pN0 colon cancer cases. X-Tile software and Kaplan-Meier survival analysis were applied to determine the optimal number of rLNs based on the minimal probability (P) value and the largest χ2 value. Univariate analyses and Cox proportional hazard regression model were used to investigate the relationship between rLN number and overall survival. Multiple analyses were conducted to assess the prognostic predictive ability of the identified optimal rLN cut-off value under different stratifications. Nomograms were established based on the independent prognostic factors selected by the multivariate analysis to predict 3- and 5-year overall survival rates of pN0 patients. RESULTS: A total of 6269 pN0 colon cancer patients who underwent surgical therapy were finally included for analysis. Harvest of at least 18 lymph nodes was determined as the optimal rLN number. This cut-off rLN value (< 18 versus ≥ 18) was identified as an independent prognostic factor (P < 0.001) of overall survival via multivariate analysis. Similar findings were obtained in patients with retrieval of at least 12 lymph nodes (18 > rLNs ≥ 12 versus rLNs ≥ 18) stratified into several groups. CONCLUSIONS: The number of rLNs was identified as an independent prognostic factor for pN0 colon cancer. Retrieval of at least 18 lymph nodes was associated with favorable prognosis in patients with pN0 colon cancer, and should, therefore, be regarded as an alternative cut-off value for survival analysis.
