Perioperative management in thoracic surgery

Risk Factors of Chylothorax After Congenital Heart Surgery in Infants: A Single-Centre Retrospective Study

Background

Studies of chylothorax after congenital heart disease in infants are rare. Chylothorax has a higher incidence in infancy, but its risk factors are not well understood.

Objective

The purpose of this study is to investigate the risk factors of chylothorax after congenital heart surgery in infants.

Methods

This retrospective study included 176 infants who underwent congenital heart disease surgery at the Guangdong Cardiovascular Institute, China, between 2016 and 2020. According to the occurrence of chylothorax, the patients were divided into a control group (n = 88) and a case group (n = 88). Univariate and multivariate logistic regression were performed to analyse the incidence and influencing factors of chylothorax after congenital heart surgery in infants.

Results

Between 2016 and 2020, the annual incidence rate fluctuated between 1.55% and 3.17%, and the total incidence of chylothorax was 2.02%. Multivariate logistic regression analysis showed that postoperative albumin (p = 0.041; odds ratio [OR] = 0.095), preoperative mechanical ventilation (p = 0.001; OR = 1.053) and preterm birth (p = 0.002; OR = 5.783) were risk factors for postoperative chylothorax in infants with congenital heart disease.

Conclusion

The total incidence of chylothorax was 2.02% and the annual incidence rate fluctuated between 1.55% and 3.17% between 2016 and 2020. Premature infants, longer preoperative mechanical ventilation and lower albumin after congenital heart surgery may be risk factors for chylothorax. In addition, infants with chylothorax are inclined to be infected, need more respiratory support, use a chest drainage tube for longer and remain longer in hospital.

The efficacy of pregabalin for pain control after thoracic surgery: a meta-analysis

BACKGROUND

Pregabalin may have some potential in alleviating pain after thoracic surgery, and this meta-analysis aims to explore the impact of pregabalin on pain intensity for patients undergoing thoracic surgery.

METHODS

PubMed, EMbase, Web of science, EBSCO and Cochrane library databases were systematically searched, and we included randomized controlled trials (RCTs) assessing the effect of pregabalin on pain intensity after thoracic surgery.

RESULTS

Five RCTs were finally included in the meta-analysis. Overall, compared with control intervention for thoracic surgery, pregabalin was associated with significantly reduced pain scores at 0 h (mean difference [MD]=-0.70; 95% confidence interval [CI]=-1.10 to -0.30; P = 0.0005), pain scores at 24 h (MD=-0.47; 95% CI=-0.75 to -0.18; P = 0.001) and neuropathic pain (odd ratio [OR] = 0.24; 95% CI = 0.12 to 0.47; P < 0.0001), but demonstrated no obvious impact on the incidence of dizziness (OR = 1.07; 95% CI = 0.15 to 7.46; P = 0.95), headache (OR = 1.00; 95% CI = 0.30 to 3.35; P = 1.00) or nausea (OR = 1.24; 95% CI = 0.46 to 3.35; P = 0.68).

CONCLUSIONS

Pregabalin may be effective to alleviate the pain after thoracic surgery.

Preoperative preparation and postoperative care in children in thoracic surgery

Anesthesia for pediatric patients undergoing thoracic surgery continues to be distinctive due to differing anatomical and physiological characteristics compared to adults. Adequate preoperative preparation, appropriate tool selection for providing one-lung ventilation, perioperative pain management, and a multidisciplinary approach can ensure higher quality postoperative care. In this review, the perioperative anesthesia management for pediatric patients undergoing thoracic surgery will be discussed, starting from the preoperative preparation phase. Additionally, the issues related to the application and management of one-lung ventilation will also be assessed.

The effect of ultrasound-guided intercostal nerve block on postoperative analgesia in thoracoscopic surgery: a randomized, double-blinded, clinical trial

BACKGROUND

Intercostal nerve block (ICNB) is a very effective analgesic method. We aimed to explore the effect of preemptive analgesia with ultrasound-guided intercostal nerve block on postoperative analgesia in thoracoscopic surgery.

METHODS

126 patients, aged 18-70 years, with American Society of Anesthesiologists (ASA) physical status I-II and scheduled for thoracoscopic pulmonary resection were enrolled in this study. 119 patients were left for final analysis. Patients were randomly allocated to group ICNB and group CONTROL. Patients in CONTROL group were administered sufentanil with patient-controlled analgesia device after operation In group ICNB, patients received ropivacaine ICNB prior to surgery and patient-controlled analgesia device after operation. The primary outcome is visual analog scale pain score (VAS) at rest at 0,4, 8,16,24,48,72 and 168 h postoperatively and they were compared. Surgical outcomes and rescue analgesia requirement were also recorded.

RESULTS

VAS scores were statistically significantly lower for ICNB group compared to control group at 0, 4, 8, 16, 24 and 48 h postoperatively. The duration of insertion of chest tube in ICBN group was shorter than that in control group, and the difference was statistically significant (4.69 ± 2.14 vs. 5.67 ± 2.86, P = 0.036). The postoperative hospital stay, incidence of nausea and vomiting and postoperative pulmonary infection rate in ICBN group were all lower than those in the control group, but there were no statistical differences. The frequency of rescue analgesia during 48 postoperative hours was different between the two groups (ICNB vs. Control; 9.83% vs. 31.03%, P = 0.004).

CONCLUSIONS

For patients undergoing thoracoscopic surgery, ultrasound-guided ICNB is simple, safe, and effective for providing acute postoperative pain management during the early postoperative stage.

TRIAL REGISTRATION

Chinese clinical trials: chictr.org.cn, ChiCTR1900021017. Registred on 25/01/2019.

Evaluating the impact of personalized rehabilitation nursing intervention on postoperative recovery of respiratory function among thoracic surgery patients: A protocol for systematic review and meta-analysis

BACKGROUND

Owing to clinical developments and economic strain, perioperative care has undergone considerable changes. Therefore, it is important to review and critique the efficacy of existing practices in a context that is placing increasing emphasis on better efficacy and cost-containment. Considering that the objective involves devising approaches to minimize postoperative complications and reduce medical care, efforts should concentrate on postsurgical pulmonary complications that are common. The present analysis aims to examine how customized rehabilitation nursing intercession impacts the postsurgical restoration of respiratory functions in thoracic surgery patients.

METHODS

Prespecified search strategies will be employed to perform a methodological search of 6 databases namely EMBASE, Cochrane Library, PubMed, Web of Science, WanFang Database, and China National Knowledge Infrastructure. The analysis will comprise original publications that evaluated how personalized rehabilitation nursing intervention impacts postsurgical restoration of respiratory function in those who have undergone thoracic surgery. All considered publications are before December 25, 2021. Different authors will conduct an independent study selection process to evaluate the quality of the publications and extract required data. Based on the standardized mean difference and its 95% confidence interval, we estimate the summary effects for each meta-analyses. Based on heterogeneity in considered articles, the related data will be pooled through either a random- or fixed-effect meta-analysis. Lastly, the overall quality of evidence using appropriate methods will be performed.

RESULTS

The results of this analysis will systematically evaluate how customized rehabilitation nursing interference impact postsurgical healing of respiratory functions in patients who have undergone thoracic surgery by collecting the existing evidence.

ETHICS AND DISSEMINATION

Not required.

OPEN SCIENCE FRAMEWORK REGISTRATION NUMBER

10.17605/OSF.IO/NBVYW.

Development and validation of a nomogram to predict postoperative pulmonary complications following thoracoscopic surgery

Background

Postoperative pulmonary complications (PPCs) after thoracoscopic surgery are common. This retrospective study aimed to develop a nomogram to predict PPCs in thoracoscopic surgery.

Methods

A total of 905 patients who underwent thoracoscopy were randomly enrolled and divided into a training cohort and a validation cohort at 80%:20%. The training cohort was used to develop a nomogram model, and the validation cohort was used to validate the model. Univariate and multivariable logistic regression were applied to screen risk factors for PPCs, and the nomogram was incorporated in the training cohort. The discriminative ability and calibration of the nomogram for predicting PPCs were assessed using C-indices and calibration plots.

Results

Among the patients, 207 (22.87%) presented PPCs, including 166 cases in the training cohort and 41 cases in the validation cohort. Using backward stepwise selection of clinically important variables with the Akaike information criterion (AIC) in the training cohort, the following seven variables were incorporated for predicting PPCs: American Society of Anesthesiologists (ASA) grade III/IV, operation time longer than 180 min, one-lung ventilation time longer than 60 min, and history of stroke, heart disease, chronic obstructive pulmonary disease (COPD) and smoking. With incorporation of these factors, the nomogram achieved good C-indices of 0.894 (95% confidence interval (CI) [0.866–0.921]) and 0.868 (95% CI [0.811–0.925]) in the training and validation cohorts, respectively, with well-fitted calibration curves.

Conclusion

The nomogram offers good predictive performance for PPCs after thoracoscopic surgery. This model may help distinguish the risk of PPCs and make reasonable treatment choices.

A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery

Assessment of risk before lung resection surgery can provide anesthesiologists with information about whether a patient can be weaned from the ventilator immediately after surgery. However, it is difficult for anesthesiologists to perform a complete integrated risk assessment in a time-limited pre-anesthetic clinic. We retrospectively collected the electronic medical records of 709 patients who underwent lung resection between 1 January 2017 and 31 July 2019. We used the obtained data to construct an artificial intelligence (AI) prediction model with seven supervised machine learning algorithms to predict whether patients could be weaned immediately after lung resection surgery. The AI model with Naïve Bayes Classifier algorithm had the best testing result and was therefore used to develop an application to evaluate risk based on patients' previous medical data, to assist anesthesiologists, and to predict patient outcomes in pre-anesthetic clinics. The individualization and digitalization characteristics of this AI application could improve the effectiveness of risk explanations and physician-patient communication to achieve better patient comprehension.