|Atrial fibrillation after pulmonary lobectomy for lung cancer affects long-term survival in a prospective single-center study.|
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|PMID: 22233837 Owner: NLM Status: MEDLINE|
|BACKGROUND: Atrial fibrillation (AF) after thoracic surgery is a continuing source of morbidity and mortality. The effect of postoperative AF on long-term survival however has not been studied. Our aim was to evaluate the impact of AF on early outcome and on survival > 5 years after pulmonary lobectomy for lung cancer.
METHODS: From 1996 to June 2009, 454 consecutive patients undergoing lobectomy for lung cancer were enrolled and followed-up until death or study end (October 2010). Patients with postoperative AF were identified; AF was investigated with reference to its predictors and to short- and long-term survival (> 5 years).
RESULTS: Hospital mortality accounted for 7 patients (1.5%), while postoperative AF occurred in 45 (9.9%). Independent AF predictors were: preoperative paroxysmal AF (odds ratio [OR] 5.91; 95%CI 2.07 to 16.88), postoperative blood transfusion (OR 3.61; 95%CI 1.67 to 7.82) and postoperative fibro-bronchoscopy (OR 3.39; 95%CI 1.48 to 7.79). Patients with AF experienced higher hospital mortality (6.7% vs. 1.0%, p = 0.024), longer hospitalization (15.3 ± 10.1 vs. 12.2 ± 5.2 days, p = 0.001) and higher intensive care unit admission rate (13.3% vs. 3.9%, p = 0.015). The median follow-up was 36 months (maximum: 179 months). Among the 445 discharged subjects with complete follow-up, postoperative AF was not an independent predictor of mortality; however, among the 151 5-year survivors, postoperative AF independently predicted poorer long-term survival (HR 3.75; 95%CI 1.44 to 9.08).
CONCLUSION: AF after pulmonary lobectomy for lung cancer, in addition to causing higher hospital morbidity and mortality, predicts poorer long-term outcome in 5-year survivors.
|Andrea Imperatori; Giovanni Mariscalco; Giuditta Riganti; Nicola Rotolo; Valentina Conti; Lorenzo Dominioni|
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|Type: Journal Article Date: 2012-01-10|
|Title: Journal of cardiothoracic surgery Volume: 7 ISSN: 1749-8090 ISO Abbreviation: J Cardiothorac Surg Publication Date: 2012|
|Created Date: 2012-02-28 Completed Date: 2012-09-14 Revised Date: 2013-06-26|
Medline Journal Info:
|Nlm Unique ID: 101265113 Medline TA: J Cardiothorac Surg Country: England|
|Languages: eng Pagination: 4 Citation Subset: IM|
|Department of Surgical and Morphological Sciences, Center for Thoracic Surgery, Varese University Hospital, University of Insubria, Varese, Italy. firstname.lastname@example.org|
|APA/MLA Format Download EndNote Download BibTex|
Atrial Fibrillation / etiology*, mortality*
Lung Neoplasms / mortality*, surgery*
Pneumonectomy / adverse effects*, methods
Journal ID (nlm-ta): J Cardiothorac Surg
Publisher: BioMed Central
Copyright ©2012 Imperatori et al; licensee BioMed Central Ltd.
Received Day: 4 Month: 10 Year: 2011
Accepted Day: 10 Month: 1 Year: 2012
collection publication date: Year: 2012
Electronic publication date: Day: 10 Month: 1 Year: 2012
Volume: 7First Page: 4 Last Page: 4
Publisher Id: 1749-8090-7-4
PubMed Id: 22233837
|Atrial fibrillation after pulmonary lobectomy for lung cancer affects long-term survival in a prospective single-center study|
|Andrea Imperatori1||Email: email@example.com|
|Giovanni Mariscalco2||Email: firstname.lastname@example.org|
|Giuditta Riganti1||Email: email@example.com|
|Nicola Rotolo1||Email: firstname.lastname@example.org|
|Valentina Conti1||Email: email@example.com|
|Lorenzo Dominioni1||Email: firstname.lastname@example.org|
1Department of Surgical and Morphological Sciences, Center for Thoracic Surgery, Varese University Hospital, University of Insubria, Varese, Italy
2Department of Surgical and Morphological Sciences, Cardiac Surgery Unit, Varese University Hospital, University of Insubria, Varese, Italy
Atrial fibrillation (AF) remains the most common medical complication after thoracic surgery, with an incidence ranging from 10% to 20% after pulmonary lobectomy, and as much as 40% after pneumonectomy [1-7]. Postoperative AF has been shown to predict worse prognosis, being correlated with higher hospital morbidity and mortality and with a considerable increase of hospital stay and cost [1-6]. However, the prognostic implications of this arrhythmia after pulmonary lobectomy for lung cancer remain controversial. None of the studies examining the consequences of postoperative AF has managed to present compelling data supporting an independent association between this arrhythmia and late mortality, because postoperative survival was examined only up to 36 months [4,5].
The primary aim of this study was to assess the impact of AF on early outcome and on survival > 5 years from pulmonary lobectomy for lung cancer. Factors associated with AF development after lobectomy were also investigated.
Between January 1996 and June 2009, 473 consecutive patients undergoing lobectomy for primary lung cancer at Varese University Hospital were considered for this study; none of the operations was an emergency. Of these patients 19 were excluded from analysis because they had chronic AF (n = 8), pace-maker devices (n = 4), or incomplete data (n = 7). Patients with a history of paroxysmal AF, but in sinus rhythm at operation, were included . The final study cohort comprised 454 patients (81.3% male), with mean age of 65.4 ± 8.8 years (range 28 to 84). Patient characteristics are listed in Table 1.
Throughout the study period the patients' data were prospectively recorded in a computerized database. The latter included information about demographics, comorbidities, medical and surgical history, preoperative respiratory and cardiac testing, operative details and postoperative events during the hospital stay (Table 1 and 2). After discharge, follow-up was conducted according to the American College of Chest Physicians (ACCP) guidelines , with physical examination and imaging study (chest x-rays (CXR) or computed tomography (CT)) every 6 months for 2 years and then annually. For patients who died during follow-up, the date of death was recorded. For patients lost to follow-up, the vital status were ascertained at the end of study, by linkage with the Lombardy Region Health System Registry. The vital status of residents outside this region were ascertained by contacting family members or the respective general practitioner. Survival follow-up was closed on October 30, 2010.
With the aim to analyze mortality profile of all discharged patients, we recorded the cause of death by linkage with the Varese Province Mortality Registry. The cause of death was classified by disease groups, according to the International Classification of Diseases, Edition IX (ICD-IX) as follows: cardiovascular diseases (ICD-IX: 390-459); lung cancer (ICD-IX: 162.2-162.9); all cancers other than lung cancer (ICD-IX:140-162.0, 163-239); all other causes of deaths.
The protocol of this study was in compliance with the local Institutional Review Board and received full approval. Written informed consent was obtained from the participants of this study.
All patients underwent preoperative clinical cardiologic and anesthesiologic evaluation, CXR and CT, and pulmonary function tests. Preoperative medications, including β-blockers, diuretics, antihypertensives, statins, and calcium-channel blockers were routinely omitted on the day of the operation and were restarted on postoperative day one, unless clinically contraindicated. Operability was determined according to established guidelines for lobectomy [9,10]. All pulmonary resections were performed by open thoracotomy, by the same thoracic surgical team throughout the study period. Standardized surgical approach and anesthesiologic management were used and remained constant during the study. Briefly, short-term antibiotic prophylaxis was routinely administered intravenously (ampicillin/sulbactam 3 gr) before anaesthesia. An epidural catheter for postoperative pain relief was offered to all patients and premedication with midazolam was done before induction of general anaesthesia. After administration of rocuronium bromide (0.15 mg/kg) and orotracheal intubation with double-lumen tube, anaesthesia was maintained by 50% O2 and 2% sevoflurane. Mediastinal sampling lymphadenectomy was routinely performed. Pathological lung cancer staging was assessed according to the 1997 TNM classification . Two chest tubes were placed on water seal at the end of the operation and removed when no air leaks were present and pleural drainage output was < 150 mL/24 h. Postoperative pain control was achieved mainly by epidural analgesia and/or by systemic opioids combined with non-steroidal anti-inflammatory drugs. Low molecular weight heparin was administered for 2-4 weeks postoperatively.
After surgery patients were transferred to a general intensive care unit (ICU) for the first 12/24 hours. Heart rate, electrocardiography (ECG), central venous and arterial pressures, and acid-base blood gases were continuously monitored during the ICU stay. Inotropic support was provided if the ventricular contractility was markedly impaired. Perioperative need of blood products was determined on an individual, patient-by-patient basis; in general, blood transfusions were administered when haemoglobin was < 8 g/dL. Postoperative fibrobronchoscopy (FBS) was performed in case of lung atelectasis, and in order to obtain bronchial secretion samples for microbiological examinations. All patients had an active program of postoperative physiotherapy including deep-breathing exercises.
Cardiac rhythm assessment followed the daily practice of an integrated clinic encompassing ICU and ward level, sharing the same routines and data collection system. Patients were monitored by continuous ECG during a minimum of 48 hours postoperatively. Subsequent monitoring was by repeated daily observations by nurses and physicians, at least every 2 hours. In case of rhythm disturbance reported by nurse or patient, a 12-lead ECG recording was obtained, and continuous ECG monitoring was restarted if necessary. Additional recordings were collected at clinical suspicion of AF. The arrhythmia was defined by physician assessment, on the basis of a telemetry strip or a 12-lead ECG recording. Amiodarone, either orally or intravenously administered, constituted the standard pharmacological treatment of AF. Digoxin was administered if necessary to reduce high ventricular rate. In case of AF recurrence, the same protocol was applied. In this study the definition of postoperative AF includes the successfully treated AF as well as AF persistent at discharge.
Extracted database variables were tabulated using Microsoft Excel® (Microsoft Corp, Redmond, WA) and statistical analysis was computed using SPSS, release 16.0 for Windows® (SPSS Inc., Chicago, IL). Continuous variables were tested for normal distribution by the Kolmogorov-Smirnov test and compared between groups with unpaired Student's t test for normally distributed values; otherwise, the Mann-Whitney U test was employed. In case of dichotomous variables, group differences were examined by chi-square or Fisher exact tests as appropriate.
A stepwise logistic regression model was developed to identify variables predicting postoperative AF. The model was built with univariable predictors of AF with p value ≤ 0.15. The stepwise approach was confirmed by backward and forward methods. The strength of the association of variables with the dependent one was estimated by calculating the odds ratio (OR) and 95% confidence intervals (CI). The model was calibrated by the Hosmer-Lemeshow goodness-of-fit test, while model discrimination was evaluated by using the area under the receiver operating characteristic (ROC) curve.
Kaplan-Meier estimates and log-rank test were performed for the postoperative mortality rate comparison of patients with or without postoperative AF. Mortality hazard ratios (HRs) were generated by a multivariable Cox regression analysis, using univariable Cox predictors with p < 0.15 (Table 3). Patients who died within 30 days of operation were excluded from the final analysis of survival.
A p value < 0.05 was considered statistically significant. Results are expressed as mean ± standard deviation (SD) for continuous variables and frequencies for the categorical ones.
Hospital mortality accounted for 7 (1.5%) subjects, while AF occurred in 9.9% of patients (45 of 454) and its frequency peaked on the second postoperative day (69% of cases). Mean AF duration was 9.2 ± 7.1 hours (range: 1-24). Of the 45 patients with postoperative AF, 29 (64%) had a single arrhythmia episode, while 16 (35%) experienced multiple episodes. Among the 45 patients with postoperative AF, 27 (60%) were treated by amiodarone, 7 (16%) by digoxin, 4 (9%) by calcium-channel blocker, and 2 (4%) by beta-blocker. The remained 5 patients were treated with a simple correction of the electrolyte imbalance (potassium). In all cases the choice of medication was based on Cardiologist prescription. At discharge, persistent AF was present in 2 of 45 (4.4%) patients.
Patients with AF compared to patients without it were older and more frequently had a history of paroxysmal AF or coronary artery disease (p = 0.008, p < 0.001 and p = 0.009, respectively) (Table 1). Other comorbidities, pulmonary function tests and preoperative medications, with the exception of β-blocker agents, did not reveal significant differences between patients with AF and without it. No correlation was observed between postoperative AF and neo-adjuvant chemotherapy, lung cancer stage and histological type of cancer (p = 0.756, p = 0.568, p = 0.281 respectively). Subjects with cancer location in the left lung were more frequently affected by AF (p = 0.011). Postoperatively, patients with AF had a higher prevalence of respiratory failure (p < 0.001), of postoperative FBS (p < 0.001) and required more frequently blood transfusions (p < 0.001). Moreover, patients with AF had longer hospital stay (p = 0.001), higher ICU admission rate (p = 0.015), and higher hospital mortality (p = 0.024) (Table 2).
At multivariate analysis, independent predictors of postoperative AF were preoperative paroxysmal AF (OR 5.91, 95%CI 2.07 to 16.88), need of peri-operative blood transfusion (OR 3.61, 95%CI 1.67 to 7.82), and postoperative FBS (OR 3.39; 95%CI 1.48 to 7.79). The Hosmer-Lemeshow goodness-of-fit test (χ2 [1 d.f.] = 0.61, p = 0.433) and ROC analysis (AUC of 0.70) revealed good calibration and discrimination for the multivariate analysis.
Follow-up was completed for 445/447 (99.6%) patients discharged after resection, with median follow-up of 36 months (maximum: 179 months). Kaplan-Meier analysis of subjects without AF revealed 1-, 5- and 10-year overall survival of 99%, 49% and 34%, respectively, similar to 98%, 42%, and 31% survival of patients with AF (p = 0.085) (Figure 1).
At multivariable Cox regression analysis of 445 discharged patients with complete follow-up, postoperative AF was not an independent predictor of late mortality (HR 1.17; 95%CI 0.76 to 1.79), while independent predictors were: lung cancer UICC stage (HR 2.09; 95%CI 1.60 to 2.74), diabetes (HR 1.64; 95%CI 1.17 to 2.29), male gender (HR 1.51; 95%CI 1.07 to 2.13), and age (HR 1.02; 95%CI 1.00 to 1.04) (Table 4). Among the 151 patients alive at 5 years from cancer resection, the multivariable Cox regression analysis revealed that postoperative AF was the strongest independent predictor (HR 3.75; 95%CI 1.44 to 9.81) along with forced expiratory volume in 1 second (FEV1) < 80% of predicted (HR 2.07; 95%CI 1.09 to 3.93) (Table 4).
Among the 445 discharged subjects with complete follow-up, death from cardiovascular diseases occurred more frequently in patients affected by postoperative AF than in those without it (21% vs.10%, p = 0.073). Among 151 5-year survivors, a similar difference of cardiovascular disease mortality was also observed (40% vs. 21%, p = 0.336).
Despite improvements in surgical and anesthesiological techniques, the incidence of AF after thoracic surgery has remained substantially unchanged over the past two decades [1-7]. Although several studies have analysed the risk factors for this arrhythmia and possible preventive strategies, its exact pathophysiology has not been elucidated yet. Few data are available regarding the impact of AF on survival after thoracic surgery [4-7]. Our study confirms the negative impact of AF on hospital mortality after lobectomy for lung cancer; in addition, it provides the first evidence that patients with postoperative AF who survive 5 years have a significantly reduced long-term survival.
Our data also identified preoperative paroxysmal AF, postoperative FBS and blood transfusions as independent predictors of postoperative AF. While paroxysmal AF and transfusion requirement are well-known AF risk factors, because of the electrical and histological abnormalities of patient atrial tissue and because of the amplified inflammatory response associated with transfusion of blood components [2,12-14], the correlation between postoperative FBS and AF has not been reported previously. A possible explanation of such correlation is the peri-operative stress of the FBS procedure, resulting in a hyperadrenergic state with increased levels of catecholamines. The latter enhance triggered activity and automaticity, which are key factors in the development of atrial arrhythmia [15,16].
An intriguing observation of the present study was an increased AF occurrence in patients undergoing left lobectomy compared with those subjected to right one (62% vs. 38%). A plausible reason could be related to the increased manipulation and increased trauma of the left cardiac structures (left atrial auricular and left pulmonary vein) . However, this statistical relationship was not confirmed at multivariable level.
Our data confirm that AF following lobectomy for lung cancer increases early postoperative mortality and causes significant adverse effects, prolonging the length of ICU and hospital stay [2-4]. Postoperative AF was here associated with three- to six-fold increased risk of both hospital mortality and ICU admission, and with two- to three-day increase in total hospital length.
A relevant finding of our study was the negative impact of postoperative AF on long-term survival. Previous investigations on the subject focused on the peri-operative period and failed to include the analysis of long-term survival, because postoperative follow-up was interrupted after about 3 years [4,5]. The association between postoperative AF and postoperative survival is controversial [4-6]. Amar and co-workers  first demonstrated that early supraventricular tachydysrhythmias (SVT) were associated with reduced postoperative survival, in a population of 78 patients with non-small cell lung carcinoma. At the conclusion of that study (median follow-up: 17 months), only 1 of 10 patients with SVT was alive, whereas 39 of 68 (57%) who did not develop SVT were alive (p = 0.01) . Murthy and colleagues  reported the association of postoperative AF with increased risk of late adverse outcomes in 198 patients after esophagectomy. In that case series, drawn from 921 patients, median survival was shorter for those affected by AF compared with controls (11.5 vs. 14.5 months); however, when hospital mortality was excluded from analysis, survival was not different (14.5 vs. 16.9 months) . Cardinale and colleagues , after 233 lung cancer operations with a mean follow-up of 18 ± 8 months, recorded no difference of 3-year mortality between patients with and without AF.
All the above mentioned studies analysing a possible direct association between postoperative AF and mortality after thoracic surgery, however, have limitations due to heterogeneous cancer populations, small sample sizes, incomplete matching or exclusion of many patients from analysis, and follow-up not extended beyond three years [4-6]. Our study had much longer follow-up (median 36; maximum 179 months). Among 5-year survivors we found that postoperative AF was an independent predictor of poor long-term survival.
The mechanisms by which postoperative AF may cause mortality in later years are difficult to analyze. Despite attempts to account for confounding mechanisms, it is possible that AF is associated with mortality because it usually occurs in patients with a more severe comorbidity profile [1-3]. Plausible mechanisms supporting a direct effect of postoperative AF include heart failure and the potential AF recurrence with attendant thromboembolic sequelae [18,19].
Our findings are consistent with the data presented by Groth and co-workers . The risk of dying for lung cancer exceeds the risk of dying of cardiovascular disease immediately after lung surgery, but this relation diminished with time. Being postoperative AF a mirror of cardiac status, an important implications for NSCLC survivors is the need for a long-term surveillance and prophylaxis of arrhythmias along with the planned lung follow-up.
There are limitations to the present study. Firstly, this is a single center study and its design is retrospective, although the data were prospectively collected. Secondly, the statistical analysis is limited by the large difference between the number of patients with AF and of those without it. Thirdly, the association we observed between AF and late mortality does not necessarily indicate causation, although studies on the general population affected by chronic AF and studies reporting the outcome of cardiac surgery patients with postoperative AF, revealed a direct AF effect in causing late mortality [18,21]. In our study subgroup analysis of AF patients by tumor stage, and by cause of death was not feasible, due to the small number of subjects in each subgroup. Similarly, we cannot evaluate the possible role of systematic mediastinal lymph node dissection, because we routinely performed mediastinal sampling lymphadenectomy. Finally, we did not collect information about post-discharge AF recurrence, nor did we control for the effect of drug administration after patient discharge, due to unreliable information on anti-arrhythmic medications and long-term use of anticoagulation therapy. Because of these limitations, the proposed mechanisms explaining the statistically significant association that we found between postoperative AF and poorer 5-year survival remain speculative. Despite these limitations, to date our study is the largest capturing the late deleterious effects of AF and examining the clinically relevant question of whether AF after pulmonary lobectomy for cancer is associated with increased long-term mortality.
Postoperative AF predicts poorer long-term survival in 5-year survivors after pulmonary lobectomy for cancer, in addition to causing higher hospital morbidity and mortality. After pulmonary lobectomy for cancer, a long-term surveillance and prophylaxis of arrhythmia seem justified.
ACCP: American College of Chest Physicians; ACE: angiotensin converting enzyme; AF: atrial fibrillation; AKI: acute kidney injury; AMI: acute myocardial infarction; ARB: angiotensin receptor blocker; BMI: body mass index; CI: confidence intervals; CAD: coronary artery disease; COPD: chronic obstructive pulmonary disease; CT: computed tomography; CRF: chronic renal failure; CVA: cerebrovascular accident; CXR: chest x-rays; ECG: electrocardiography; FEV1: forced expiratory volume in 1 second; FBS: fibrobronchoscopy; Hb: haemoglobin; HR: hazard ratio; ICD: International Classification of Diseases; ICU: intensive care unit; NSCLC: non small cell lung cancer; OR: odds ratio; PaO2: partial arterial oxygen pressure; POPAF: postoperative atrial fibrillation; PVD: peripheral vascular disease; ROC: receiver operating characteristic; SD: standard deviation; SVT: supraventricular tachydysrhythmias; UICC: Union International Contre le Cancer.
The authors declare that they have no competing interests.
AI and LD designed the study, analyzed and interpreted the data and wrote the manuscript; GM performed the statistical analysis, analyzed the data and wrote the manuscript; GR contributed to the design the study and acquisition of data; NR and VC helped to draft the final manuscript and added important comments to the paper.
All authors read and approved the final manuscript.
|Onaitis M,D'Amico T,Zhao Y,O'Brien S,Harpole D,Risk factors for atrial fibrillation after lung cancer surgery: analysis of the Society of Thoracic Surgeons general thoracic surgery databaseAnn Thorac SurgYear: 20109036837410.1016/j.athoracsur.2010.03.10020667313|
|Vaporciyan AA,Correa AM,Rice DC,Roth JA,Smythe WR,Swisher SG,Walsh GL,Putnam JB,Risk factors associated with atrial fibrillation after noncardiac thoracic surgery: analysis of 2588 patientsJ Thorac Cardiovasc SurgYear: 200412777978610.1016/j.jtcvs.2003.07.01115001907|
|Roselli EE,Murthy SC,Rice TW,Houghtaling PL,Pierce CD,Karchmer DP,Blackstone EH,Atrial fibrillation complicating lung cancer resectionJ Thorac Cardiovasc SurgYear: 200513043844416077410|
|Cardinale D,Martinoni A,Cipolla CM,Civelli M,Lamantia G,Fiorentini C,Mezzetti M,Atrial fibrillation after operation for lung cancer: clinical and prognostic significanceAnn Thorac SurgYear: 1999681827183110.1016/S0003-4975(99)00712-210585066|
|Amar D,Burt M,Reinsel RA,Leung DH,Relationship of early postoperative dysrhythmias and long-term outcome after resection of non-small cell lung cancerChestYear: 199611043743910.1378/chest.110.2.4378697848|
|Murthy SC,Law S,Whooley BP,Alexandrou A,Chu KM,Wong J,Atrial fibrillation after esophagectomy is a marker for postoperative morbidity and mortalityJ Thorac Cardiovasc SurgYear: 20031261162116710.1016/S0022-5223(03)00974-714566263|
|De Decker K,Jorens PG,Van Schil P,Cardiac complications after noncardiac thoracic surgery: an evidence-based current reviewAnn Thorac SurgYear: 2003751340134810.1016/S0003-4975(02)04824-512683600|
|Rubins J,Unger M,Colice GL,Follow-up and surveillance of the lung cancer patient following curative intent therapy: ACCP evidence-based clinical practice guideline (2nd edition)ChestYear: 2007132355S367S10.1378/chest.07-139017873180|
|Scott WJ,Howington J,Feigenberg S,Movsas B,Pisters K,Treatment of non-small cell lung cancer stage I and stage II: ACCP evidence-based clinical practice guidelines (2nd edition)ChestYear: 2007132234S242S10.1378/chest.07-137817873171|
|Robinson LA,Ruckdeschel JC,Wagner H,Stevens CW,Treatment of non-small cell lung cancer-stage IIIA: ACCP evidence-based clinical practice guidelines (2nd edition)ChestYear: 2007132243S265S10.1378/chest.07-137917873172|
|Mountain CF,Revision in the international system for staging lung cancerChestYear: 19971111710171710.1378/chest.111.6.17109187198|
|Fransen E,Maessen J,Dentener M,Senden N,Buurman W,Impact of blood transfusions on inflammatory mediator release in patients undergoing cardiac surgeryChestYear: 19991161233123910.1378/chest.116.5.123310559080|
|Mariscalco G,Engström KG,Ferrarese S,Cozzi G,Bruno VD,Sessa F,Sala A,Relationship between atrial histopathology and atrial fibrillation after coronary bypass surgeryJ Thorac Cardiovasc SurgYear: 20061311364137210.1016/j.jtcvs.2006.01.04016733171|
|Goette A,Juenemann G,Peters B,Klein HU,Roessner A,Huth C,Röcken C,Determinants and consequences of atrial fibrosis in patients undergoing open heart surgeryCardiovasc ResYear: 20025439039610.1016/S0008-6363(02)00251-112062343|
|Mariscalco G,Engström KG,Are current smokers paradoxically protected against atrial fibrillation after cardiac surgery?Nicotine Tob ResYear: 200911586310.1093/ntr/ntn01119246442|
|Kalman JM,Munawar M,Howes LG,Louis WJ,Buxton BF,Gutteridge G,Tonkin AM,Atrial fibrillation after coronary artery bypass grafting is associated with sympathetic activationAnn Thorac SurgYear: 1995601709171510.1016/0003-4975(95)00718-08787468|
|Mathew JP,Parks R,Savino JS,Friedman AS,Koch C,Mangano DT,Browner WS,Atrial fibrillation following coronary artery bypass graft surgery, predictors, outcomes, and resource utilization. MultiCenter Study of Perioperative Ischemia Research GroupJAMAYear: 199627630030610.1001/jama.1996.035400400440318656542|
|Mariscalco G,Klersy C,Zanobini M,Banach M,Ferrarese S,Borsani P,Cantore C,Biglioli P,Sala A,Atrial fibrillation after isolated coronary surgery affects late survivalCirculationYear: 20081181612161810.1161/CIRCULATIONAHA.108.77778918824644|
|Mariscalco G,Engstrom KG,Postoperative atrial fibrillation is associated with late mortality after coronary surgery, but not after valvular surgeryAnn Thorac SurgYear: 2009881871187610.1016/j.athoracsur.2009.07.07419932252|
|Groth SS,Rueth NM,Hodges JS,Habermann EB,Andrade RS,D'Cunha J,Maddaus MA,Conditional cancer-specific versus cardiovascular-specific survival after lobectomy for stage I non-small cell lung cancerAnn Thorac SurgYear: 20109037538210.1016/j.athoracsur.2010.04.10020667314|
|Wolf PA,Abbott RD,Kannel WB,Atrial fibrillation as an independent risk factor for stroke: the Framingham StudyStrokeYear: 19912298398810.1161/01.STR.22.8.9831866765|
[Figure ID: F1]
Kaplan-Meier survival curves of patients with atrial fibrillation (AF) and without AF (No AF).
(n = 454)
|Patients without AF
(n = 409)
(n = 45)
|Mean age, year||65.4 ± 8.8||65.0 ± 8.9||68.6 ± 6.8||0.008|
|Male, n (%)||369 (81.3)||332 (81.2)||37 (82.2)||0.864|
|BMI, kg/m2||25.6 ± 4.1||25.7 ± 4.2||24.7 ± 3.3||0.116|
|Paroxysmal AF, n (%)||45 (9.9)||38 (8.8)||7 (15.5)||0.182|
|CAD, n (%)||56 (12.3)||45 (11.0)||11 (24.4)||0.009|
|Prior AMI, n (%)||15 (3.3)||12 (2.9)||3 (6.7)||0.178|
|Hypertension, n (%)||183 (40.3)||161 (39.4)||22 (48.9)||0.216|
|Diabetes, n (%)||58 (12.8)||53 (13.0)||5 (11.1)||0.999|
|Dyslipidemia, n (%)||71 (15.6)||60 (14.7)||11 (24.4)||0.087|
|Current smokers, n (%)||182 (40.1)||164 (40.1)||18 (40.0)||0.990|
|PVD, n (%)||115 (25.3)||106 (25.9)||9 (20.0)||0.386|
|CVA, n (%)||19 (4.2)||16 (3.9)||3 (6.7)||0.421|
|Baseline biochemical data|
|Creatinine, mg/dL||1.0 ± 0.5||1.0 ± 0.4||1.2 ± 1.1||0.287|
|Hb, g/dL||13.8 ± 1.6||13.8 ± 1.5||13.6 ± 1.8||0.352|
|Baseline respiratory data|
|FEV1, % of predicted||88.1 ± 21.9||88.2 ± 21.7||86.9 ± 24.1||0.716|
|PaO2, mmHg||94.5 ± 21.9||94.3 ± 20.9||96.3 ± 29.2||0.558|
|β-blockers, n (%)||36 (7.9)||29 (7.1)||7 (15.6)||0.046|
|Calcium antagonists, n (%)||58 (12.8)||51 (12.5)||7 (15.6)||0.556|
|ACE-Inhibitors, n (%)||67 (14.8)||59 (14.4)||8 (17.8)||0.547|
|ARBs, n (%)||33 (7.3)||29 (7.1)||4 (8.9)||0.659|
|Statins, n (%)||45 (9.9)||39 (9.5)||6 (13.3)||0.429|
|Neoadjuvant chemotherapy, n (%)||30 (6.6)||28 (6.8)||2 (4.4)||0.756|
a For continuous variables, mean ± SD (standard deviation); for categorical variables, number (percent)
ACE angiotensin converting enzyme, AF atrial fibrillation, AMI acute myocardial infarction, ARB angiotensin receptor blocker, BMI body mass index, CAD coronary artery disease, CVA cerebrovascular accident, FEV1 forced expiratory volume in 1 second, Hb haemoglobin, PaO2 partial arterial oxygen pressure, PVD peripheral vascular disease
Peri- and post-operative data
|Predictora||Patients without AF
(n = 409)
(n = 45)
|Lung cancer characteristics|
|Cancer location, n (%)||0.011|
|Right lung||236 (57.7)||17 (37.8)|
|Left lung||173 (42.3)||28 (62.2)|
|UICC Stage, n (%)b||0.568|
|Stage I||211 (54.0)||24 (54.5)|
|Stage II||86 (22.0)||7 (15.9)|
|Stage III/IV||94 (24.0)||13 (29.5)|
|Histology, n (%)||0.281|
|Squamous cell ca||140 (34.2)||21 (46.7)|
|Adenocarcinoma||209 (51.1)||21 (46.7)|
|Large cell||24 (5.9)||1 (2.2)|
|Other||36 (8.8)||2 (4.4)|
|PaO2, mmHg||85.3 ± 30.8||86.9 ± 16.3||0.729|
|Ventilation time, h||3.2 ± 0.7||3.2 ± 0.7||0.540|
|Inotropes, n (%)||23 (5.6)||2 (4.4)||0.999|
|Blood transfusions, n (%)||36 (8.8)||13 (28.9)||< 0.001|
|Reoperation for bleeding, n (%)||3 (0.7)||0 (0)||0.999|
|FBS, n (%)||31 (7.1)||13 (24.4)||< 0.001|
|AMI, n (%)||2 (0.5)||2 (4.4)||0.051|
|CVA, n (%)||7 (1.7)||2 (4.4)||0.221|
|AKI, n (%)||14 (3.4)||3 (6.7)||0.232|
|Respiratory failure, n (%)||3 (0.7)||5 (11.1)||< 0.001|
|Pneumonia, n (%)||5 (1.2)||2 (4.4)||0.146|
|Length of stay, days||12.2 ± 5.2||15.3 ± 10.1||0.001|
|ICU admission n (%)||16 (3.9)||6 (13.3)||0.015|
|Hospital Mortality n (%)||4 (1.0)||3 (6.7)||0.024|
a For continuous variables, mean ± SD (standard deviation); for categorical variables, number (percent)
b UICC stage  not available for the 19 (4.2%) patients with tumor type other than NSCLC
AKI acute kidney injury (according RIFLE criteria), AMI acute myocardial infarction, CVA cerebrovascular accident (stroke + transient ischemic attack), FBS fibrobronchoscopy, ICU intensive care unit, PaO2 partial arterial oxygen pressure, UICC Union International Contre le Cancer
Univariable Cox Predictors of postoperative mortality
|Age, years||1.02||1.01 - 1.03||0.042|
|Female||0.68||0.48 - 0.95||0.025|
|BMI, kg/m2||0.98||0.94 - 1.02||0.256|
|Paroxysmal AF||1.74||1.01 - 2.98||0.044|
|CAD||1.76||0.93 - 3.31||0.080|
|Prior AMI||1.41||0.98 - 2.01||0.061|
|Hypertension||1.12||0.87 - 1.43||0.387|
|Diabetes||1.73||1.23 - 2.41||0.001|
|Dyslipidemia||1.21||0.83 - 1.76||0.326|
|COPD||0.99||0.77 - 1.27||0.931|
|Current smokers||1.27||0.99 - 1.64||0.064|
|PVD||1.03||0.77 - 1.37||0.836|
|Preop CVA||1.41||0.79 - 2.51||0.249|
|CRF||1.17||0.29 - 4.70||0.826|
|Creatinine (basal), mg/dL||1.20||0.89 - 1.62||0.216|
|Hb, g/dL||0.95||0.88 - 1.03||0.210|
|FEV1 < 80%||0.74||0.58 - 0.96||0.025|
|Right Lobectomy||1.16||0.91 - 1.48||0.235|
|Neoadjuvant chemotherapy||1.04||0.62 - 1.75||0.884|
|Stage UICCa||1.96||1.52 - 2.53||< 0.001|
|Histologyb||0.91||0.71 - 1.16||0.452|
|Inotropes||1.79||0.98 - 3.29||0.060|
|Blood transfusion||1.51||1.02 - 2.22||0.037|
|FBS||1.11||0.69 - 1.78||0.658|
|Postop AMI||1.98||0.28 - 14.18||0.493|
|Postop CVA||3.26||1.45 - 7.35||0.004|
|AKI||1.17||0.62 - 2.20||0.632|
|POPAF||1.41||0.95 - 2.09||0.087|
a Classes I and II vs. classes III and IV (class I and II as a reference group)
b Adenocarcinoma vs. others carcinoma (others as a reference group)
AKI acute kidney injury, AF atrial fibrillation, AMI acute myocardial infarction, BMI body mass index, CAD coronary artery disease, COPD chronic obstructive pulmonary disease, CRF chronic renal failure, CVA cerebrovascular accident, FBS fibrobronchoscopy, FEV1 forced expiratory volume in 1 second, Hb hemoglobin, POPAF postoperative atrial fibrillation, PVD peripheral vascular disease, UICC Union International Contre le Cancer.
Independent predictors of postoperative mortality
|Predictor||p Value||HR||95% CI|
|In 445 discharged patients|
|UICC cancer stagea||< 0.001||2.09||1.60 - 2.74|
|Diabetes||0.004||1.64||1.17 - 2.29|
|Male gender||0.018||1.51||1.07 - 2.13|
|Ageb||0.021||1.02||1.00 - 1.04|
|In 151 5-year survivors|
|Postoperative AF||0.007||3.75||1.44 - 9.81|
|FEV1 < 80%||0.027||2.07||1.09 - 3.93|
a Classes I and II vs. classes III and IV (class I and II as a reference group)
b By one-year increment
CI confidence interval, HR hazard ratio, FEV1 forced expiratory volume in 1 second, UICC Union Internationale Contre le Cancer
Keywords: Pulmonary lobectomy, Lung cancer, Atrial fibrillation, Arrhythmia, Prognosis, Mortality.
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