Long-term Symptom Control After Laparoscopic Heller Myotomy and Dor Fundoplication for Achalasia.

BACKGROUND: Achalasia is a primary esophageal motility disorder in which there is incomplete relaxation of the lower esophageal sphincter and absence of peristalsis in the lower two thirds of the esophagus. A favored treatment is laparoscopic modified Heller myotomy with Dor fundoplication (LHMDor) with more than 90% immediate beneficial effect. The short-term outcomes of LHMDor are well documented, but stability and durability of postoperative symptom control over time is less understood. METHODS: Between 2004 and 2016, 54 patients with achalasia underwent LHMDor (single center). Using validated questionnaires, patients rated their symptoms in five domains: pain, gastroesophageal reflux disease (GERD), dysphagia, regurgitation, and quality of life. Symptom ratings were done preoperatively, 4 weeks postoperatively, 6 months postoperatively, and yearly after the operation. RESULTS: As expected, patients reported marked improvement in dysphagia, odynophagia, regurgitation, GERD, and quality of life after the operation (P < .001). From then on, the symptom control remained durable with respect to absence of pain, regurgitation, and odynophagia; however, we observed a recurrence of GERD symptoms beginning 3 to 5 years postoperatively (P = .001 and P = .04, respectively), with associated increased antireflux medication use. After initial LHMDor, 5 patients required endoscopic dilatation an average of 1.5 years postoperatively, and no patient required reoperation. Patients reported preserved improved quality of life to 11 years after the operation (P = .001). CONCLUSIONS: These results demonstrate the durability of LHMDor in the definitive management of achalasia, offering consistent symptomatic relief and significant improvement in quality of life over the decade after surgery, despite some increase in GERD symptoms and antireflux medication use.

Correction to: Postoperative Adverse Events are Associated with Oncologic Recurrence Following Curative­intent Resection for Lung Cancer.

The original version of this article unfortunately contained a mistake in author names. The given and family names of all the authors was transposed. The author names are corrected with this correction. The original article has been corrected.

Postoperative Adverse Events are Associated with Oncologic Recurrence Following Curative-intent Resection for Lung Cancer.

BACKGROUND: Up to 50% of patients suffer short-term postoperative adverse events (AEs) and metastatic recurrence in the long-term following curative-intent lung cancer resection. The association between AEs, particularly infectious in nature, and disease recurrence is controversial. We sought to evaluate the association of postoperative AEs on risk of developing recurrence and recurrence-free survival (RFS) following curative-intent lung resection surgery. METHODS: All lung cancer resections at a single institution (January 2008-July 2015) were included, with prospective collection of AEs using the Thoracic Morbidity & Mortality System. Cox proportional hazards models were used to estimate the effect of AEs on recurrence, with results presented as hazard ratio (HR) with 95% confidence interval (CI). An a priori, clinically driven approach to predictor variable selection was used. Kaplan-Meier curves were used examine the relationship between AE and RFS. p < 0.05 was considered statistically significant. RESULTS: 892 patients underwent curative-intent resection. 342 (38.3%) patients experienced an AE; 69 (7.7%) patients developed infectious AEs. 17.6% (n = 157) of patients had disease recurrence after mean follow-up of 26.5 months. Severe (Grade IV) AEs were associated with increased risk of recurrence (3.40; 95% CI 1.56-7.41) and a trend to decreased RFS. Major infectious AEs were associated with increased risk of recurrence (HR 1.71; CI 1.05-2.8) and earlier time to recurrence (no infectious AE 66 months, minor infectious 41 months, major infectious 54 months; p = 0.02). CONCLUSION: For patients undergoing curative-intent lung cancer resection, postoperative AEs associated with critical illness or major infection were associated with increased risk of oncologic recurrence.

External validity of a model to predict postoperative atrial fibrillation after thoracic surgery.

OBJECTIVES: A prediction model developed by Passman et al. stratifies patients' risk of postoperative atrial fibrillation (POAF) after major non-cardiac thoracic surgery using 3 simple factors (sex, age and preoperative resting heart rate). The model has neither undergone external validation nor proven to be relevant in current thoracic surgery practice. METHODS: A retrospective single-centre analysis of all patients who underwent major non-cardiac thoracic surgery (2008-2017) with prospective documentation of incidence and severity of POAF was used for external validation of Passman's derivation sample (published in 2005 with 856 patients). The model calibration was assessed by evaluating the incidence of POAF and patients' risk scores (0-6). RESULTS: A total of 2054 patients were included. Among them, POAF occurred in 164 (7.9%), compared to 147 (17.2%) in Passman's study. Differences in our sample compared to Passman's sample included mean heart rate (75.7 vs 73.7 bpm, P < 0.001), proportion of patients with hypertension (46.1 vs 29.4%, P < 0.001), proportion of extensive lung resections, particularly pneumonectomy (6.1 vs 21%, P < 0.001) and proportion of minimally invasive surgeries (56.6% vs 0%). The model demonstrated a positive correlation between risk scores and POAF incidence (risk score 1.2% vs 6.16%). CONCLUSIONS: The POAF model demonstrated good calibration in our population, despite a lower overall incidence of POAF compared to the derivation study. POAF rates were higher among patients with a higher risk score and undergoing procedures with greater intrathoracic dissection. This tool may be useful in identifying patients who are at risk of POAF when undergoing major thoracic surgery and may, therefore, benefit from targeted prophylactic therapy.

Forecasting pulmonary air leak duration following lung surgery using transpleural airflow data from a digital pleural drainage device.

BACKGROUND: Prolonged air leak (PAL) is often the limiting factor for hospital discharge after lung surgery. Our goal was to develop a statistical model that reliably predicts pulmonary air leak resolution by applying statistical time series modeling and forecasting techniques to digital drainage data. METHODS: Autoregressive Integrated Moving Average (ARIMA) modeling was used to forecast air leak flow from transplural air flow data. The results from ARIMA were retrospectively internally validated with a group of 100 patients who underwent lung resection between December 2012 and March 2017, for whom digital pleural drainage data was available for analysis and a persistent air leak was the limiting factor for chest tube removal. RESULTS: The ARIMA model correctly identified 82% (82/100) of patients as to whether or not the last chest tube removal was appropriate. The performance characteristics of the model in properly identifying patients whose air leak would resolve and who would therefore be candidates for safe chest tube removal were: sensitivity 80% (95% CI, 69-88%), specificity 88% (95% CI, 68-97%), positive predictive value 95% (95% CI, 86-99%), and negative predictive value 59% (95% CI, 42-79%). The false positive and false negative rate was 12% (95% CI, 12-31%) and 20% (95% CI, 12-31%). CONCLUSIONS: We were able to validate a statistical model that that reliably predicted resolution of pulmonary air leak resolution over a 24-hour period. This information may improve the care of patients with chest tube by optimizing duration of pleural drainage.

Interventions to avoid pulmonary complications after lung cancer resection.

Surgical resection of lung cancer is the preferred treatment for early-stage disease in medically fit patients. The rates of postoperative pulmonary complications (PPCs) such as pneumonia, empyema and atelectasis are as high as 10% in contemporary series. A review of the literature was performed to identify the best evidence supporting interventions to identify, prevent and treat PPCs. The use of patient risk scores, appropriate choice of antibiotic prophylaxis, intraoperative ventilatory strategies, chest physiotherapy, sputum management and non-invasive ventilatory support were specifically discussed, as was the relevant supporting data. Recommendations to guide best practice and inform future research questions are outlined.

Impact of Surgeon Self-evaluation and Positive Deviance on Postoperative Adverse Events After Non-cardiac Thoracic Surgery.

As an innovative approach to improve quality of surgical care, we combined surgeon self-assessment and anonymized peer comparison with continuous quality improvement seminars using positive deviance (CQI/PD) to identify surgeon(s) with the lowest rates of adverse events (AEs) to guide group practice recommendations. Our objective was to quantify the impact these interventions on postoperative AEs rates after major non-cardiac chest operations. All postoperative AEs after all thoracic operations (n = 1,084, March, 2013 to February, 2016, single-center) were prospectively collected using the thoracic morbidity and mortality system, based on Clavien-Dindo schema. Online software provided surgeons (n = 6) with self-evaluation and peer comparison at all times. In addition, quarterly CQI/PD seminars (n = 8, September, 2013 to December, 2015) focused on common impactful AEs: atrial fibrillation (AFIB), prolonged alveolar air leak (PAAL), and anastomotic leak (AL). Impact was analyzed using univariate statistics 6, 9, and 12 months before and after implementation. We observed reductions of postoperative AEs after CQI/PD: a decrease (all time periods) in AFIB, greatest at 6 months (10.1% vs. 6.7%; p = .36); a decrease (all time periods) in PAAL, greatest at 12 months (18.9% vs. 11.7%; p < .05); and decrease (6 and 9 months) in AL, greatest at 6 months (11.1% vs. 8.3%; p = .82). Improvements in AE rates after individual surgeon self-evaluation and CQI/PD seminars provide encouraging results that merit further investigation.

Measuring surgical quality: comparison of postoperative adverse events with the american college of surgeons NSQIP and the Thoracic Morbidity and Mortality classification system.

BACKGROUND: Monitoring surgical outcomes is critical to quality improvement; however, different data-collection methodologies can provide divergent evaluations of surgical outcomes. We compared postoperative adverse event reporting on the same patients using 2 classification systems: the retrospectively recorded American College of Surgeons (ACS) NSQIP and the prospectively collected Thoracic Morbidity and Mortality (TM&M) system. STUDY DESIGN: Using the TM&M system, complications and deaths were documented daily by fellows and reviewed weekly by staff for all thoracic surgical cases conducted at our institution (April 1, 2010 to December 31, 2011). The ACS NSQIP recording was performed 30 to 120 days after index surgery by trained surgical clinical reviewers on a systemic sampling of major cases during the same time period. Univariate analyses of the data were performed. RESULTS: During the study period, 1,788 thoracic procedures were performed (1,091 were designated "major," as per ACS NSQIP inclusion criteria). The ACS NSQIP evaluated 182 of these procedures, representing 21.1% and 16.7% of patients and procedures, respectively. Mortality rates were 1.4% in TM&M vs 2.2% in ACS NSQIP (p = 0.42). Total patients and procedures with complications reported were 24.4% and 31.1% by TM&M vs 20.2% and 39.0% by ACS NSQIP (p = 0.23 and 0.03), respectively. Rates of reported cardiac complications were higher in TM&M vs ACS NSQIP (5.8% vs 1.1%; p = 0.01), and wound complications were lower (2.5% vs 6.0%; p = 0.01). CONCLUSIONS: Although overall rates were similar, significant differences in collection, definitions, and classification of postoperative adverse events were observed when comparing TM&M and ACS NSQIP. Although both systems offer complementary value, harmonization of definitions and severity classification would enhance quality-improvement programs.

Incidence, severity and perioperative risk factors for atrial fibrillation following pulmonary resection.

OBJECTIVES: Postoperative atrial fibrillation (PAF) occurs commonly following pulmonary resection. Our aims were to quantify the incidence and severity of PAF using the Thoracic Morbidity & Mortality classification system, and identify risk factors for PAF. METHODS: All consecutive patients undergoing pulmonary resection at a single centre (January 2008 - April 2010) were enrolled. PAF was defined as postoperative, electrocardiographically documented and requiring initiation of pharmacological therapy. Univariate and multivariate analyses of risk factors associated with the development of PAF were conducted. RESULTS: The incidence of PAF was 11.8% (n = 43) of 363 pulmonary resections (open: n = 173; 47.7%; video-assisted: n = 177; 48.8%; converted: n = 13; 3.6%): sublobar (n = 93; 25.6%), lobectomy (n = 237; 65.3%), bilobectomy (n = 7; 1.9%) and pneumonectomy (n = 24; 6.6%). Twenty-eight cases (65.1%) were uncomplicated/transient, and 15 cases (34.9%) were complicated/persistent PAF, defined as lasting for >7 days (40.0%), requiring cardioversion (13.3%), vasopressors (33.3%), in-hospital use of anticoagulants (46.7%) and/or anticoagulants on discharge (26.7%). Patients with PAF had increased mean lengths of hospital stay (10.5 days vs 6.9 days; P = 0.04). Peak onset of PAF occurred 2.5 (standard deviation (SD) ± 1.3) days after pulmonary resection, lasting for 1.8 ± 2.8 (mean, ±SD) days. Multivariate analysis identified (relative risk; 95% confidence interval): age ≥70 years (2.3; 1.1-5.1), history of angioplasty/stents/angina (4.0; 1.4-11.3), thoracotomy (3.6; 1.4-9.3), conversion to open thoracotomy (16.5; 2.2-124.0) and extent of surgery/stage (7.1; 1.0-49.4) as predictors of PAF. CONCLUSIONS: While the majority of PAF is uncomplicated and transient, one-third of cases lead to persistence or major intervention. Age, coronary artery disease and extent of surgery/stage increase the risk of PAF following pulmonary resection. Identifying patients with elevated risk may lead to targeted prophylaxis to reduce the incidence of PAF.

Intrapleural fibrinolytic therapy (IPFT) in loculated pleural effusions--analysis of predictors for failure of therapy and bleeding: a cohort study.

OBJECTIVES: To assess risk factors associated with failure and bleeding in intrapleural fibrinolytic therapy (IPFT) for pleural effusions. DESIGN: Retrospective case series. SETTING: Two tertiary-care centres in North America. PARTICIPANTS: We identified 237 cases that received IPFT for the treatment of pleural effusions. Data for 227 patients were compiled including demographics, investigations, radiological findings pretherapy and post-therapy and outcomes. INTERVENTION: Fibrinolytic therapy in the form of tissue plasminogen activator (t-PA) or streptokinase. PRIMARY AND SECONDARY OUTCOMES: Success of therapy is defined as the presence of both clinical and radiological improvement leading to resolution. Failure was defined as persistence (ie, ineffective treatment) or complications requiring intervention from IPFT. Incidence of bleeding post-IPFT, identifying factors related to failure of therapy and bleeding. RESULTS: IPFT was used in 237 patients with pleural effusions; 163 with empyema/complicated parapneumonic effusions, 32 malignant effusions and 23 with haemothorax. Overall, resolution was achieved in 80% of our cases. Failure occurred in 46 (20%) cases. Multivariate analysis revealed that failure was associated with the presence of pleural thickening (>2 mm) on CT scan (p=0.0031, OR 3, 95% CI 1.46 to 6.57). Bleeding was not associated with any specific variable in our study (antiplatelet medications, p=0.08). CONCLUSIONS: Pleural thickening on a CT scan was found to be associated with failure of IPFT.

Evaluating the reliability and reproducibility of the Ottawa Thoracic Morbidity and Mortality classification system.

BACKGROUND: Minimizing adverse events after surgery is widely recognized as an important indicator of quality; yet no consensus has been reached on how to standardize the reporting of adverse events after surgical procedures. Our objectives were to develop a standardized classification system to monitor both the presence and severity of thoracic morbidity and mortality, and to evaluate its reliability and reproducibility among a national cohort of thoracic surgeons. METHODS: To assess the Thoracic Morbidity and Mortality classification system (based on the Clavien-Dindo classification of adverse events), a 31-item questionnaire was sent to all members of the Canadian Association of Thoracic Surgeons in August 2009, consisting of a general description of the Thoracic Morbidity and Mortality severity grades, 20 case-based questions of postoperative adverse events to be classified, and questions regarding personal judgments. We derived descriptive and quantitative information using weighted Kappa statistics. RESULTS: Fifty-two (54.7%) thoracic surgeons completed the questionnaire; 41 (78.8%) of the respondents were affiliated with an academic teaching hospital. A total of 1,326 individual weighted Kappa statistics were calculated for all distinct pairs of raters, of which 1,152 (87%) were greater than 0.81, a range that is interpreted as "almost perfect agreement." A further 174 (13%) were in the range between 0.61 and 0.8, interpreted as "substantial agreement." All results were statistically significant (p < 0.0001). The classification system was regarded as straightforward (98% of the respondents), reproducible (94%), logical (92%), and useful (98%). CONCLUSIONS: The modified classification system appears to offer objective, reliable, and reproducible reporting of thoracic morbidity and mortality, and thus may assist continuous quality improvement in thoracic surgery.