The significance of digital drainage devices on standardization of air leak management after pulmonary resection.
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ABSTRACT:
SUBMITTER: Alcasid NJ
PROVIDER: S-EPMC10636457 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Publications
The significance of digital drainage devices on standardization of air leak management after pulmonary resection.
Alcasid Nathan J NJ Velotta Jeffrey B JB
Journal of thoracic disease 20230922 10
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Project description:BackgroundThe sensitivity of postoperative pleural air leakage (PAL) after pulmonary resection is evaluated by a simple subjective grading method in clinical practice. A new electronic digital chest drainage evaluation system (DCS) recently became clinically available. This study was designed to evaluate the clinical application of the DCS in monitoring the airflow volume and managing postoperative PAL.MethodsWe prospectively enrolled 25 patients who underwent pulmonary resection. Postoperative PAL was evaluated using both conventional PAL grading based on the physician's visual judgment (analog chest drainage evaluation system [ACS]: Level 0 = no leakage to 4 = continuous leakage) and the DCS. The DCS digital measurement was recorded as the flow volume (ml/min), which was taken once daily from postoperative day 1 to the day of chest drainage tube removal.ResultsIn total, 45 measurements were performed on 25 patients during the evaluation period. Postoperative PAL was observed in five patients (20.0%) and judged as ACS Level >1. The mean DCS values corresponding to ACS Levels 0, 1, 2, and 3 were 2.42 (0.0-11.3), 48.6 (35.4-67.9), 95.6 (79.7-111.5), and 405.3 (150.3-715.6), respectively. The Spearman correlation test showed a significant positive correlation between the ACS PAL level and DCS flow volume (R = 0.8477, p < 0.001).ConclusionsA relationship between the visual PAL level by the ACS and the digital value by the DCS was identified in this study. The numeric volume obtained by the DCS has been successful in information-sharing with all staff. The digital PAL value evaluated by the DCS is appropriate, and the use of the DCS is promising in the treatment of postoperative PAL after pulmonary resection.
| S-EPMC5673177 | biostudies-literature
Project description:ObjectiveProlonged air leak increases costs and worsens outcomes after pulmonary resection. We aimed to develop a clinical prediction tool for prolonged air leak using pretreatment and intraoperative variables.MethodsPatients who underwent pulmonary resection for lung cancer/nodules (from January 2009 to June 2014) were stratified by prolonged parenchymal air leak (>5 days). Using backward stepwise logistic regression with bootstrap resampling for internal validation, candidate variables were identified and a nomogram risk calculator was developed.ResultsA total of 2317 patients underwent pulmonary resection for lung cancer/nodules. Prolonged air leak (8.6%, n = 200) was associated with significantly longer hospital stay (median 10 vs 4 days; P < .001). Final model variables associated with increased risk included low percent forced expiratory volume in 1 second, smoking history, bilobectomy, higher annual surgeon caseload, previous chest surgery, Zubrod score >2, and interaction terms for right-sided thoracotomy and wedge resection by thoracotomy. Wedge resection, higher body mass index, and unmeasured percent forced expiratory volume in 1 second were protective. Derived nomogram discriminatory accuracy was 76% (95% confidence interval [CI], 0.72-0.79) and facilitated patient stratification into low-, intermediate- and high-risk groups with monotonic increase in observed prolonged air leaks (2.0%, 8.9%, and 19.2%, respectively; P < .001). Patients at intermediate and high risk were 4.80 times (95% CI, 2.86-8.07) and 11.86 times (95% CI, 7.21-19.52) more likely to have prolonged air leak compared with patients at low risk.ConclusionsUsing readily available candidate variables, our nomogram predicts increasing risk of prolonged air leak with good discriminatory ability. Risk stratification can support surgical decision making, and help initiate proactive, patient-specific surgical management.
| S-EPMC5651171 | biostudies-literature
Project description:BackgroundThe Thoraguard Surgical Drainage System is a novel device for drainage of air and fluid after cardiothoracic surgery.MethodsA three-part study was conducted: a prospective observational safety and feasibility study, a retrospective comparison of patients managed with an analogue drainage system, and a clinician user-feedback survey.ResultsFifty patients underwent robotic pulmonary resection utilizing the Thoraguard system for postoperative drainage. The Thoraguard system detected a higher number of air leaks than an analogue system (36/50, 72% vs. 45/200, 23%; P<0.001) and was associated with decreased chest tube duration of 1 day [interquartile range (IQR) 0-2] vs. 2 days (IQR 2-3) (P=0.042) and hospital length of stay of 2 days (IQR 2-3) vs. 3 days (IQR 2-4) (P=0.027). Patients with a peak air leak less than 100 mL/min (32 patients, 64%), had a decreased median chest tube duration of 1 day (IQR 0-1) vs. 2.8 days (IQR 1-3) (P=0.004). Compared to an analogue system, the Thoraguard system had superior user-reported ability to detect air-leaks (17/23, 74%), better ease of patient ambulation (14/23, 61%), and better display of clinically relevant information (22/23, 96%).ConclusionsThe Thoraguard Surgical Drainage System provides safe and effective drainage post pulmonary resection. Compared to an analogue system, the Thoraguard system detected a higher number of air leaks and was associated with decreased chest tube duration and hospital length of stay. User survey data reported superior air leak detection, display of clinical data, and ease of use of the Thoraguard system.
| S-EPMC9562523 | biostudies-literature
Project description:ObjectivesThe objective of this study was to determine the variation in intrapleural pressure (IPP) with and without air leakage using a digital chest drainage system (DCS) for each pressure setting.MethodsIn this retrospective single-centre study, we analysed 49,553 h of air leakage after anatomical lung resection in 714 patients between 2018 and 2020. The transition of mean IPP and mean air leak flow was monitored using DCS, and the association between mean IPP and mean air leak flow was examined. The relationship between the transition of mean IPP and air leakage according to the varying suction pressures on DCS was also investigated.ResultsOverall, 272 patients (38.1%) showed air leakage after surgery. The mean IPP in patients without air leakage was -12.0 ± 2.9 cmH2O and maintained at about -12 cmH2O constantly, while the mean IPP in patients with air leakage was -8.3 ± 1.9 cmH2O, which changed to -12 cmH2O instantly if air leakage disappeared (P < 0.001). Among patients with air leakage, the mean IPP changed more distinctly in patients with mild suction management than in those with conventional suction management (-5.0 ± 2.6 to -11.5 ± 4.2 and -8.8 ± 1.3 to -12.1 ± 2.5 cmH2O, respectively; P < 0.001).ConclusionsThe change in IPP on a DCS is useful for detecting air leakage. Furthermore, management with a mild suction setting on DCS makes it easy to recognize the disappearance of postoperative air leakage.
| S-EPMC8759466 | biostudies-literature
Project description:BackgroundProlonged air leak (PAL) is one of the most common postoperative complications after lung surgery. This study aimed to identify risk factors of PAL after lung resection and develop a preoperative predictive model to estimate its risk for individual patients.MethodsPatients with pulmonary malignancies or metastasis who underwent pulmonary resection between January 2014 and January 2018 were included. PAL was defined as an air leak more than 5 days after surgery, risk factors were analyzed. Forward stepwise multivariable logistic regression analysis was performed to identify independent risk factors, and a derived nomogram was built. Data from February 2018 to September 2018 were collected for internal validation.ResultsA total of 1,511 patients who met study criteria were enrolled in this study. The overall incidence of PAL was 9.07% (137/1,511). Age, percent forced expiratory volume in 1 second, surgical type, surgical approach and smoking history were included in the final model. A nomogram was developed according to the multivariable logistic regression results. The C-index of the predictive model was 0.70, and the internal validation value was 0.77. The goodness-of-fit test was non-significant for model development and internal validation.ConclusionsThe predictive model and derived nomogram achieved satisfied preoperative prediction of PAL. Using this nomogram, the risk for an individual patient can be estimated, and preventive measures can be applied to high-risk patients.
| S-EPMC8435390 | biostudies-literature
Project description: Not available
| S-EPMC10713297 | biostudies-literature
Project description:BackgroundProlonged air leak (PAL) remains one of the most frequent postoperative complications after pulmonary resection. This study aimed to develop a predictive nomogram to estimate the risk of PAL for individual patients after minimally invasive pulmonary resection.MethodsPatients who underwent minimally invasive pulmonary resection for either benign or malignant lung tumors between January 2020 and December 2021 were included. All eligible patients were randomly assigned to the training cohort or validation cohort at a 3:1 ratio. Univariate and multivariate logistic regression were performed to identify independent risk factors. All independent risk factors were incorporated to establish a predictive model and nomogram, and a web-based dynamic nomogram was then built based on the logistic regression model. Nomogram discrimination was assessed using the receiver operating characteristic (ROC) curve. The calibration power was evaluated using the Hosmer-Lemeshow test and calibration curves. The nomogram was also evaluated for clinical utility by the decision curve analysis (DCA).ResultsA total of 2213 patients were finally enrolled in this study, among whom, 341 cases (15.4%) were confirmed to have PAL. The following eight independent risk factors were identified through logistic regression: age, body mass index (BMI), smoking history, percentage of the predicted value for forced expiratory volume in 1 second (FEV1% predicted), surgical procedure, surgical range, operation side, operation duration. The area under the ROC curve (AUC) was 0.7315 [95% confidence interval (CI): 0.6979-0.7651] for the training cohort and 0.7325 (95% CI: 0.6743-0.7906) for the validation cohort. The P values of the Hosmer-Lemeshow test were 0.388 and 0.577 for the training and validation cohorts, respectively, with well-fitted calibration curves. The DCA demonstrated that the nomogram was clinically useful. An operation interface on a web page ( https://lirongyangql.shinyapps.io/PAL_DynNom/ ) was built to improve the clinical utility of the nomogram.ConclusionThe nomogram achieved good predictive performance for PAL after minimally invasive pulmonary resection. Patients at high risk of PAL could be identified using this nomogram, and thus some preventive measures could be adopted in advance.
| S-EPMC9347096 | biostudies-literature
Project description:BackgroundProlonged air leak (PAL) due to an alveolar-pleural fistula (APF) is the most common complication after lung surgery. PAL is associated with an increased risk of morbidity and mortality, a longer chest tube duration, hence a prolonged hospitalization. Management of PAL may be challenging, and the thoracic surgeon should be aware of the possible therapeutic strategies.MethodsA systematic literature review was performed in PubMed, Cochrane Library, EMBASE, Ovid and Google Scholar. Title, abstract and full-text screening was performed, followed by structured data extraction, methodological quality assessment and Cochrane risk of bias assessment. Inclusion criteria were: case-control studies/randomized controlled trials (RCTs) comparing the new tested method with the standard of care to manage PAL after lung surgery; PAL due to APF; at least 10 patients; English-written papers.ResultsA total of 942 initial papers from literature search, resulted in 43 papers after the selection. This systematic review found that the use of intraoperative measures as surgical sealants or pleural tenting, as well as a proper management of the chest drain and the use of blood patch or sclerosant agents seem to reduce postoperative air leaks incidence and/or duration and length of chest drain stay and hospitalization.ConclusionsDifferent measures have been described in literature to manage or prevent postoperative PAL. Most of them seem to be safe and efficient if compared to the "wait and see" strategy, even if large comparative studies that standardize the intra- and post-operative management of APF after lung resection are lacking and, actually, hard to conceptualize. However, there is a large consensus on the value of a preoperative PAL-risk stratification and on the necessity of tailoring PAL management or prevention's strategy and its timing on each patient's features.
| S-EPMC9992588 | biostudies-literature
Project description:BackgroundIt is important to reduce the postoperative drainage time after thoracic surgery to relieve postoperative pain and facilitate patient mobilization. We standardized intra- and peri-operative management of major, thoracoscopic pulmonary resections in February 2019. In this study, we investigated whether this standardization reduced the postoperative drainage time. Moreover, we examined how such management affected re-admission within 30 days after operation (because of pleural complications).MethodsBetween May 2012 and February 2022, 815 patients with malignant or benign disease underwent major thoracoscopic pulmonary resections in our department. The patients were classified into two groups: those who received standardized management (n=352) and those who did not (n=463). After propensity score-matching, we compared characteristics and perioperative results between the two groups (n=234 in each group) by univariate analysis. The factors affecting postoperative drainage time and re-admission within 30 days after operation (because of pleural complications) were evaluated via multivariate analysis. Standardized management was as follows: (I) intraoperatively, any dense fissures were left untreated to avoid postoperative air leakage. A fissureless or unidirectional dissection technique served as an alternative; pulmonary vessels and bronchi were divided at the hilum in patients with dense fissures. (II) The chest drain was removed when air leakage ceased, regardless of the fluid volume or surgeon's preference.ResultsThe standardized management group evidenced superior results in terms of operative time (P<0.0001) and postoperative drainage time (P<0.0001). There were no significant differences in the remaining perioperative parameters. Moreover, standardized management significantly reduced postoperative drainage time, as revealed by multivariate analysis [estimated regression coefficient: -0.47; 95% confidence interval (CI): -0.78 to -0.16; P=0.003]. Moreover, standardized management did not significantly increase re-admission (because of pleural complications) [odds ratio (OR) =1.76; 95% CI: 0.557 to 5.58; P=0.34].ConclusionsStandardized intra- and peri-operative management significantly reduced the postoperative drainage time after major thoracoscopic pulmonary resections, without increasing re-admissions within 30 days among patients with pleural complications caused by insufficient drainage. Surgeons must master a fissureless or a unidirectional dissection technique, avoid dissection of fused fissures, and apply standardized perioperative drainage management.
| S-EPMC9992609 | biostudies-literature
Project description:Prolonged air leak (PAL), defined as air leak more than 5 days after lung resection, has been associated with various adverse outcomes. However, studies on intraoperative risk factors for PAL are not sufficient. We investigated whether the intraoperative ventilatory leak (VL) can predict PAL. A retrospective study of 1060 patients with chest tubes after lung resection was conducted. Tidal volume data were retrieved from the electronic anesthesia records. Ventilatory leak (%) was calculated as [(inspiratory tidal volume-expiratory tidal volume)/ inspiratory tidal volume × 100] and was measured after restart of two-lung ventilation. Cox proportional hazards regression analysis was performed using VL as a predictor, and PAL as the dependent outcome. The odds ratio of the VL was then adjusted by adding possible risk factors including patient characteristics, pulmonary function and surgical factors. The incidence of PAL was 18.7%. VL >9.5% was a significant predictor of PAL in univariable analysis. VL remained significant as a predictor of PAL (1.59, 95% CI, 1.37-1.85, P <0.001) after adjusting for 7 additional risk factors including male gender, age >60 years, body mass index <21.5 kg/m2, forced expiratory volume in 1 sec <80%, thoracotomy, major lung resection, and one-lung ventilation time >2.1 hours. C-statistic of the prediction model was 0.80 (95% CI, 0.77-0.82). In conclusion, VL was a quantitative measure of intraoperative air leakage and an independent predictor of postoperative PAL. Monitoring VL during lung resection may be uselful in recommending additional surgical repair or use of adjuncts and thus, help reduce postoperative PAL.
| S-EPMC5679576 | biostudies-literature