1.Effect of anesthesia management in enhanced recovery after surgery on stress level in thyroid surgery
Zhuochen LYU ; Chenjun XIONG ; Jiqi YAN ; Shiyu ZHANG ; Zichen HUA ; Xiayang YING ; Yan LUO
The Journal of Clinical Anesthesiology 2017;33(8):733-737
Objective To compare the effect of anesthesia management between enhanced recovery after surgery (ERAS) protocol and traditional protocol on stress level of thyroid surgery.Methods Sixty-two patients receiving thyroid surgery from May 2016 to August 2016, 13 males and 49 females, aged 18-65 years, of ASA physical status Ⅰ or Ⅱ, were randomly divided into group ERAS (n=29) and traditional group (group C, n=33).Each group had its own anesthesia management protocol.Operation method, operation duration, the level of pain during emergence and on the first postoperative day, the occurrence rate of complications and the satisfaction evaluation of pain and nausea and vomiting after the operation day were recorded.C-reactive protein (CRP), serum cortisol, interleukin-6 (IL-6), interleukin-8 (IL-8) and tumor necrosis factor (TNF-α) before and after the operation day were evaluated.Results The visual analogue scale (VAS) pain score in group ERAS was lower than that in group C during emergence [(0.42±0.83) points vs (0.95±1.16) points]and on the first postoperative day [(1.90±1.21) points vs (2.73±1.40) points] (P<0.05).Group ERAS was more satisfied with pain relief at first day after the surgery than that of group C (P<0.05).The level of CRP in group ERAS was lower than that in group C on the operative day and the first postoperative day (P<0.05).In group C, the level of CRP on the operative day and the first postoperative day were much higher than those before the surgery (P<0.05).The occurrence rate of complications between the two groups had no statistical difference.Conclusion The perioperative ERAS anesthesia management of thyroid surgery is safe and effective in pain management, patient satisfaction and accelerated recovery.
2.Nomogram prediction model construction and verification for pediatric acute perforation appendicitis
Wenlong TANG ; Chengliang WAN ; Bo HAI ; Bilin XIONG ; Chenjun ZHENG ; Chuanbo ZHANG ; Chunfeng HUANG ; Qiang BAI
Chongqing Medicine 2024;53(22):3463-3468
Objective To investigate the risk factors for pediatric acute perforation appendicitis,and to construct a nomogram predictive model and conduct the verification.Methods A total of 426 children patients with appendectomy in this hospital from June 30,2020 to June 30,2022 were selected as the study subjects 340 children with acute appendicitis admitted to the hospital from 30 June 2020 to 28 February 2022 were the training set and 86 children patients with appendicitis hospitalized in this hospital from March 1,2022 to June 30,2022 conducted the external validation(verification set).The univariate and multivariate logistic regression models were employed to analyze the independent risk factors of pediatric acute perforation appendicitis.The nomograms predictive model was constructed.The receiver operating characteristic(ROC)curve and calibra-tion curve were used to evaluate the predictive efficiency of the model.The decision curve analysis(DCA)was used to evaluate the application value of the model.Results Of the 426 children,198 were perforated and 228 were not perforated.The univariate and multivariate logistic regression analyses revealed that elevated C-reac-tive protein(CRP),presence of stercorolith in appendiceal cavity,time of onset to visiting hospital ≥2 d and body temperature ≥37.3 ℃ were the independent risk factors for pediatric acute perforation appendicitis(P<0.05).The Hosmer-Lemeshow test demonstrated that the nomogram predictive model had good fitting(P=0.869),and the area under the curve(AUC)for the training and validation sets were 0.808 and 0.860 respectively,showing the good predictive ability of the model.The calibration curve closely approach the ideal diagonal.The model showed good discrimination,consistency and accuracy.The DC A revealed that the curve was far away from oblique and horizontal lines,and the model had good clinical practicability.Conclusion The constructed nomogram model of pediatric acute perforation appendicitis has good predictive ability and may help clinic to identify as early as possible.
3.Analysis of risk factors for the occurrence and aggravation of lower back pain in Parkinson′s disease patients
Lei SHEN ; Qiang WANG ; Yitong XIONG ; Junfeng SHI ; Zhenhuan JIANG ; Chenjun ZHAI ; Tao JIANG
Journal of Chinese Physician 2024;26(9):1322-1327
Objective:To explore the independent risk factors for the occurrence and aggravation of lower back pain (LBP) in patients with Parkinson′s disease (PD), in order to provide reference for clinical diagnosis and treatment.Methods:A retrospective analysis was conducted on the case data of 309 PD patients who visited the Affiliated Yixing Hospital of Jiangsu University from June 2018 to May 2020. The KING Parkinson′s Disease Pain Scale (KPPS) was used to quantitatively evaluate the LBP of PD patients, who were divided into LBP group and Non LBP group. The general clinical data, PD related data, and imaging data of the two groups were compared and analyzed. Binary logistic regression analysis was used to evaluate independent risk factors for LBP in PD patients. Pearson correlation analysis was conducted between KPPS scores and various factors, and linear regression analysis was used to identify the relevant risk factors that exacerbate LBP in PD patients.Results:Compared with the Non LBP group, the LBP group had lower bone mineral density (BMD) and a lower proportion of patients who engaged in daily exercise. The difference between the two groups was statistically significant (all P<0.05). Compared with the Non LBP group, patients in the LBP group had a longer course of illness, higher stiffness scores, a higher proportion of patients with fluctuating symptoms, higher UPDRS-Ⅲ scores, and a higher proportion of patients with thoracolumbar fascial injury (TLFI) and lumbar sagittal imbalance. The differences between the two groups were statistically significant (all P<0.05). The results of binary logistic regression analysis showed that combined TLFI ( OR=2.773, 95% CI: 1.219-6.309, P=0.015), combined lumbar sagittal imbalance ( OR=4.835, 95% CI: 2.244-10.421, P<0.001), and lower BMD ( OR=2.818, 95% CI: 1.767-4.493, P<0.001) were risk factors for LBP in PD patients. The KPPS score was correlated with BMD and TLFI ( r=-0.146, 0.294, all P<0.05). The linear regression results showed that the merged TLFI ( B=2.271, β=0.285, P<0.001) was positively correlated with KPPS score, indicating a risk factor. Conclusions:The combination of TLFI, lumbar sagittal imbalance, and lower BMD is closely related to the occurrence of LBP in PD patients, and the combination of TLFI is an independent risk factor for exacerbating LBP symptoms. Clinical attention should be paid to the prevention and treatment of TLFI in PD patients.