Skip to main content

Arterial blood gases predict long-term prognosis in stage I non-small cell lung cancer patients



Preoperative hypercapnia and hypoxemia are reportedly risk factors for postoperative complications. This study aimed to establish the long-term survival risk associated with abnormal preoperative arterial blood gases (ABGs) in patients with non-small cell lung cancer (NSCLC).


This study involved 414 patients with stage I NSCLC who underwent lobectomy/bilobectomy with mediastinal lymph node dissection. The patients were divided into groups with normal (n = 269) and abnormal (n = 145) ABGs.


The patients in the normal ABG group (median age 67 years) were significantly younger than those in the abnormal ABG group (median age 70 years). There were no significant differences between the groups in gender, performance status, pathological stage, histology, postoperative complications, or preoperative comorbidity, except for chronic obstructive pulmonary disease/pulmonary fibrosis. The 3-, 5- and 10-year survival rates in the normal and abnormal ABG groups were 87, 77 and 56, and 78 , 63 and 42 %, respectively (p = 0.006). According to multivariate analysis, age, gender, performance status, non-adenocarcinoma, differentiation of resected tumor, pathological stage, any prior tumor and abnormal ABGs (risk ratio, 1.61) were independent prognostic factors.


Abnormal ABGs predict long-term survival risk in patients with NSCLC, which is important for planning therapeutic strategies.

Peer Review reports


Surgery is the most effective therapy for early non-small cell lung cancer (NSCLC). Indeed, the 5-year survival rates in patients who underwent pulmonary resection were as follows: clinical stage IA, 82.0 % (n = 6295); pathological stage IA 86.8 % (n = 4978); clinical stage IB, 66.8 % (n = 2339); and pathological stage IB 73.9 % (n = 2552) [1]. The 5- and 10-year survival rates of 799 patients with screening-detected clinical stage I lung cancer who did not undergo surgical treatment were only 16.6 and 7.4 %, respectively [2]. A recent study of Japanese patients with operable cancer who elected to undergo stereotactic ablative radiotherapy reported 5-year overall survival rates of 72 and 62 % for stage IA and IB subgroups, respectively [3]. Therefore, anatomical lobectomy is performed in most cases, which is acceptable from a physiological point of view.

Prior to surgical treatment, oncological and physiological tolerance of the proposed procedure should be considered. To assess physiological tolerance, cardiopulmonary function evaluation, including general respiratory function tests, arterial blood gas (ABG) analysis, electrocardiography, and echocardiography, is important according to two recent sets of guidelines [4, 5]. According to a review of preoperative evaluation of lung cancer resection candidates, active smoking, dyspnea, age, proposed extent of surgery, and presence of vascular disease, diabetes mellitus and dysrhythmia are variably associated with increased risks of complications and/or mortality [6]. One study reported that 37 % of individuals who present with anatomically resectable disease are deemed unsuitable for surgery on the basis of poor pulmonary function alone [7]. Moreover, physiological variables have recently been shown to influence not only perioperative outcomes, but also long-term quality of life and survival after pulmonary resection in patients with NSCLC. Quality of life, particularly as it is related to physical function, such as forced expiratory volume in 1 s (FEV1.0) and diffusion capacity of the lungs for CO (DLCO) [810], is affected after surgical resection.

ABG tests have also been used to evaluate pulmonary function before thoracic surgery to prevent subsequent respiratory insufficiency. Historically, hypercapnia (partial pressure of CO2 in arterial blood [PaCO2] >45 Torr) has been considered an exclusion criterion for pulmonary resection [11, 12]. Hypercapnia and hypoxemia (<60 Torr partial pressure of O2 in arterial blood [PaO2] or <90 % oxygen saturation [SaO2]) are reportedly risk factors for postoperative complications [5]. However, according to British Thoracic Society guidelines, hypercapnia alone is not a predictor of complications after lung resection. Such patients are often precluded because of other adverse factors, such as postoperative FEV1.0 and DLCO <40 % [13].

It has not been reliably established whether preoperative abnormal ABGs, such as low oxygenation, hypercapnia or hypocapnia, are predictors of prognosis in patients who undergo pulmonary resection. The hypothesis of this study is that abnormal ABG parameters are independently associated with a higher risk of long-term mortality, especially non-cancer related mortality. Given that the outcomes are not biased by organ failure caused by tumor compression or involvement, this study aimed to examine the correlation between preoperative ABG analysis and long-term risk of death in patients with stage I NSCLC.



The medical records of 587 continuous patients who underwent pulmonary resection for pathological stage I NSCLC at Osaka City University Hospital, from January 1998 to December 2012, were analyzed retrospectively. The following patients were excluded from the analysis: those who underwent partial/wedge resection, without radical mediastinal lymph node dissection (R0) as previously described [14], and those who underwent neoadjuvant therapy for lung cancer. Ultimately, the records of 414 patients with pathological stage I NSCLC who underwent lobectomy/bilobectomy with R0 were examined. Surgery was performed through an axillary mini-thoracotomy (assisted by video) or posterolateral thoracotomy (when extended lobectomy, e.g., chest wall resection, pulmonary arterioplasty or bronchoplasty was necessary). Histological classification was performed according to the World Health Organization criteria for histological typing of lung tumors [15]. Postoperative staging was based on the international TNM classification for lung cancer [16, 17]. Patients were followed at 1–6-month intervals postoperatively. Follow-up evaluation included physical examination, chest X-ray, and blood examination, including for tumor markers. Chest, brain and abdominal computed tomography were performed at 3 − 6-month intervals. Bone scanning was not routinely performed in asymptomatic patients. Whenever any symptoms or signs of recurrence were detected, magnetic resonance imaging of the brain and bone scintigraphy was performed. The patients (n = 53 /191; 28 %) with stage 1A (T1b) and 1B adenocarcinoma received oral fluoropyrimidine for 2 years. Dose escalation or schedule modification occurred at the discretion of the clinician. Patients underwent chemotherapy, radiotherapy, or the best available supportive care when recurrence was detected. The study was performed in accordance with the Declaration of Helsinki and received approval from the Institutional Review Board of the Osaka City University (Osaka, Japan, reference number 2793) with waiver of informed consent because of its retrospective design.

Data collection and follow-up evaluation

The patients’ demographic data, surgical outcomes, and complications were reviewed, and the survival rate was analyzed. Follow-up results and causes of death were obtained from patients’ medical records (in our institute and with their practitioners/pulmonologists) and telephone calls, and the last follow-up day was June 30, 2015.

In-hospital mortality included all deaths during the first 30 days or postoperative hospital stay. Postoperative complications were classified as major (potentially life-threatening) or minor (not life-threatening) occurring within 30 days after surgery or bronchopleural fistula within 3 months. Prolonged air leakage was defined as persisting for >5 days after surgery. Prolonged pleural effusion was defined as >1.5 L until 5 days after surgery. Either or both predicted postoperative FEV1.0 and DLCO <40 % were defined as high-risk comorbidity. Pulmonary assessment included complete history, physical examination, and pulmonary function tests (PFTs). Predicted postoperative lung function was calculated by the segments method based on the total number of segments (42), then corrected for segments that were obstructed by tumor preoperatively [18]. In our physiological exclusion criteria, postoperative FEV1.0 ≥ 600 mL was considered a prerequisite for resection. However, PaCO2 ≤ 50 Torr was considered a prerequisite for resection traditionally, but we did not exclude patients with only hypercapnia. This study included three patients with PaCO2 > 50 Torr (50.6, 50.3 and 50.2 Torr, respectively) and all patients had postoperative FEV1.0 ≥ 600 mL.


The patients were divided into two groups according to the results of ABG analysis: a normal ABG group (n = 269) and an abnormal ABG group (n = 145) from a previous report [19] and our institution. The abnormal group included at least one of the following parameters: [1] PaO2 ≤ 80 Torr (n = 83, median 75, range 62–79; [2] PaCO2 ≤ 35 Torr (n = 22, median 34.0, range 31.1–34.9) or ≥45 Torr (n = 50, median 46.1, range, 45.0–50.6); or [3] pH ≤7.35 (n = 5, median 7.335, range 7.332–7.349), or ≥7.45 (n = 14, median 7.456, range 7.451–7.485).

Statistical analysis

Comparison of continuous and dichotomous variables between the two groups was performed using the Mann − Whitney U test, the χ2 test, or Fisher’s exact test. The Kaplan − Meier method and log-rank test were used for survival analysis. Multivariate analysis was performed with a Cox regression model with forward stepwise selection and multivariate risk ratios with 95 % confidence intervals (CIs) were calculated. P < 0.05 was considered statistically significant. Statistical analysis was performed using JMP 10 software (SAS Institute, Cary, NC, USA).


Clinicopathological features

Of these 414 patients, 302 had adenocarcinoma, 99 squamous cell carcinoma, eight adenosquamous carcinoma, and five large cell carcinoma. As to pathological stage, 232 patients were in stage IA and 182 in stage IB. Table 1 shows the clinicopathological characteristics of the two groups. The patients in the normal ABG group (median age 67 years) were significantly younger than those in the abnormal ABG group (median age 70 years) (p = 0.005, Mann − Whitney U test). There were no significant differences in gender, body mass index, smoking history, Eastern Cooperative Oncology Group performance status (PS), Hugh–Jones (H–J) classification, postoperative predicted PFTs, histology and differentiation of the resected tumor, pathological stage, tumor location, surgical procedures, blood loss, operative time, and adjuvant therapy between the two groups.

Table 1 Clinicopathological characteristics according to normal or abnormal ABGs

Preoperative comorbidity and postoperative complications

The postoperative course was uneventful in 281 patients and one hospital death was associated with acute exacerbation of interstitial pneumonia (IP). As shown in Table 2, there were no significant differences in preoperative comorbidity, such as any prior tumor, hypertension, diabetes mellitus, and cerebral, cardiac, renal and liver diseases, between the normal and abnormal ABG groups. The patients in the abnormal ABG group had a higher ratio of pulmonary comorbidity (chronic obstructive pulmonary disease [COPD]/IP) compared with those in the normal ABG group.

Table 2 Preoperative comorbidity and postoperative complications according to normal or abnormal ABGs

There were 16 major and 117 minor complications in the remaining 133 patients. The 16 major complications comprised: postoperative bleeding that required re-exploration/interventional radiology in two patients; cerebral infarction in one; respiratory failure/pneumonia that required mechanical ventilation in nine (including one with acute exacerbation of interstitial pneumonia previously described); and other organ failure in four. Minor complications occurred in 117 patients. Prolonged air leakage occurred in 50 (12.1 %) and supraventricular arrhythmia in 27 (5.8 %). There were no significant differences in postoperative complications between the normal and abnormal ABG groups.

Long-term postoperative outcome

Although ten patients (2.4 %) were lost during follow-up, no patient was lost for ≥2 years. The overall mean duration of follow-up was 5.6 years (range 0.1–16.2 years) and 2343 patient-years were detected. There were 65 deaths from lung cancer, 80 from other diseases, including 23 related to other cancers, and 269 patients were still alive, including 16 with lung cancer recurrence. In the normal ABG group (n = 269), there were 35 deaths from lung cancer (13 %), 47 from other diseases (17 %) and 187 patients were still alive (70 %), whereas in the abnormal ABG group (n = 145), there were 30 deaths from cancer (21 %), 33 from other diseases (23 %) and 82 patients were still alive (56 %). As shown in Fig. 1, the 3-, 5- and 10-year survival rates in the normal and abnormal ABG groups were 87, 77 and 56 %, and 78, 63 and 42 %, respectively (p = 0.006). As shown in Fig. 2, there were no significant differences in survival between those with normal versus abnormal pH (p = 0.067), and normal versus low PaO2 (<80 Torr) (p = 0.251). The survival rates in the high (p = 0.049) and low (p <0.001) PaCO2 groups were significantly lower than those in the normal PaCO2 group.

Fig. 1

Survival rates of patients with resected stage 1 NSCLC according to preoperative ABG values. The survival of patients with abnormal ABG is significantly shorter than that in patients with normal ABG.

Fig. 2

Overall survival of patients with stage 1 NSCLC according to preoperative ABG values: (a) pH, (b) PaO2 and (c) PaCO2

Although there were no significant differences between the two groups for cause of death (p = 0.554), the all-cancer-related (including secondary or any prior tumors) and non-cancer-related survival rates in the abnormal ABG group were significantly poor compared with those in the normal group (p = 0.038 and 0.041, respectively) as shown in Fig. 3.

Fig. 3

Overall survival based on cause of death in patients with stage 1 NSCLC according to preoperative ABG values: (a) all-cancer-related and (b) non-cancer-related survival rates

Multivariate analysis of ABG and clinical functions

According to the log-rank test, gender, age, PS (0–1 vs 2), ABG, postoperative predicted PFTs, histology, degree of tumor differentiation, pathological stage, postoperative complications and some preoperative comorbidity (cardiac, cerebral and liver disease and any prior tumor history) were significantly associated with survival, as shown in Table 3. According to multivariate analysis applying the above significant variables, gender, age, PS, histology (non-adenocarcinoma), differentiation, pathological stage, any prior tumor and ABG (risk ratio, 1.61; p = 0.006) were independent predictors of overall survival. When multivariate analysis was performed using ABG variables, both high PaCO2 (risk ratio, 1.84; p = 0.016) and low PaCO2 (risk ratio, 1.99; p = 0.043) were identified as independent factors.

Table 3 Results of survival analysis


The key finding of this study is that preoperative ABG is a predictor of long-term prognosis in stage I NSCLC, independent of other important determinants such as age, gender, PS and pathological stage. H–J classification, predicted postoperative PFTs, and cardiac/cerebral disease, which are considered important physiological factors, were not independent prognostic factors according to multivariate analysis.

To select a subgroup of patients with stage I disease that might benefit from adjuvant therapy, many investigators have attempted to identify pathological prognostic factors. These attempts have included analysis of histological subtype, size of primary tumor, degree of tumor differentiation, tumor markers, and lymphatic or vascular invasion [20, 21]. Recent studies have reported that the following molecular markers are associated with poor prognosis or recurrence in stage I NSCLC: cell cycle regulation/apoptosis, angiogenesis, growth regulation, cellular adhesion, cell cycle regulation, and basement membrane invasion [20, 22]. As for physiological factors, age, gender, PS, weight loss, depressed mood, quality of life, smoking [20], Charlson Comorbidity Index score [23], FEV1.0/DLCO [810] have been reported as long-term prognostic factors in patients undergoing pulmonary resection. The Charlson Comorbidity Index allots weighted scores based on the relative mortality risk to 19 factors that were found to significantly influence survival in the study subjects [23, 24]. Although these 19 factors include some such as heart failure, chronic pulmonary disease and renal disease that could affect ABG, abnormal ABG was not identified as a prognostic comorbidity factor in that study.

The preoperative physiological assessment of a patient being considered for surgical resection of lung cancer must take into account the immediate perioperative risks from comorbid cardiopulmonary disease, the long-term risks of pulmonary disability, and the threat to survival posed by inadequately treated lung cancer. As is evident in recently published algorithms, selection based on physiological variables of patients for major pulmonary resection for NSCLC currently focuses on perioperative outcomes [5]. Many authors have assessed physiological prognostic factors in patients with NSCLC and focused on PFTs, mainly preoperative or predicted postoperative FEV1 and DLCO [710, 2527]. Predicted postoperative pulmonary function can be theoretically determined by the amount of parenchymal resection. However, various factors can also influence it, including site of resection (upper or lower lobectomy), severity of pulmonary emphysema/fibrosis, the surgical approach (open or video-assisted thoracic surgery), and chemotherapy/radiation therapy [26]. When multivariate analysis was performed excluding ABG, predicted postoperative FEV1.0 and DLCO (shown as predicted PFT) was an independent prognostic marker (risk ratio, 1.79, 95 % CI, 1.01–3.02; p = 0.047) in this study.

Abnormal ABG in patients with lung cancer undergoing surgical resection is reportedly a comorbidity risk factor (mainly respiratory disorder) [5, 11, 12]. However, this is controversial because two series have reported that perioperative complications are not more numerous in patients with preoperative hypercapnia [25, 28]. In the present study, we also found no significant difference in postoperative complications, including respiratory failure, between patients with preoperative CO2 in the normal range and those with hypercapnia. When multivariate analysis was performed using three ABG variables as for physiological factors, both high and low PaCO2 were identified as independent factors and further, larger studies are necessary to clarify these findings.

We did not routinely measure postoperative ABG in patients without complications, therefore preoperative or short-term changes in PaO2 or PaCO2 are unclear. In a previous study, although small decreases in PaO2 were detected after pneumonectomy, there were no significant decreases in PaO2 after minor resection (including lobectomy) and no significant changes in PaCO2 after any type of resection [27]. Low PaO2 (<80 Torr) was not a comorbidity predictor of prognosis in patients with early lung cancer undergoing pulmonary resection (Fig. 2b, p = 0.251). This may be of interest regarding home oxygen therapy.

We postulated that patients with abnormal ABGs might have poor prognosis because of the increased risk of non-cancer-specific death. It is important to note that deaths from both cancer and other causes were higher in the abnormal ABG group. It is possible that abnormal ABGs might affect or be affected by cancer biology, and further, larger studies are necessary to clarify our findings and determine whether this trend is significant.


In the present study, we found that preoperative ABGs, not only hypercapnia but also hypocapnia are predictors of long-term prognosis in stage I NSCLC. Surgical strategies for patients with abnormal ABG values should be planned considering not only immediate or short-term risk, which relates to perioperative morbidity and mortality, but also long-term survival risk.



arterial blood gas


diffusion capacity of the lungs for CO

FEV1.0 :

forced expiratory volume in 1 second

H–J classification:

Hugh–Jones classification


non-small cell lung cancer

PaCO2 :

partial pressure of CO2 in arterial blood

PaO2 :

partial pressure of oxygen in arterial blood


pulmonary function tests


performance status

SaO2 :

oxygen saturation


  1. 1.

    Sawabata N, Miyaoka E, Asamura H, Nakanishi Y, Eguchi K, Mori M, et al. Japanese lung cancer registry study of 11,663 surgical cases in 2004: demographic and prognosis changes over decade. J Thorac Oncol. 2011;6(7):1229–35.

    Article  PubMed  Google Scholar 

  2. 2.

    Motohiro A, Ueda H, Komatsu H, Yanai N, Mori T. Cancer NCHSGfL. Prognosis of non-surgically treated, clinical stage I lung cancer patients in Japan. Lung Cancer. 2002;36(1):65–9.

    Article  PubMed  Google Scholar 

  3. 3.

    Onishi H, Shirato H, Nagata Y, Hiraoka M, Fujino M, Gomi K, et al. Stereotactic body radiotherapy (SBRT) for operable stage I non-small-cell lung cancer: can SBRT be comparable to surgery? Int J Radiat Oncol Biol Phys. 2011;81(5):1352–8.

    Article  PubMed  Google Scholar 

  4. 4.

    Colice GL, Shafazand S, Griffin JP, Keenan R, Bolliger CT. Physicians ACoC. Physiologic evaluation of the patient with lung cancer being considered for resectional surgery: ACCP evidenced-based clinical practice guidelines (2nd edition). Chest. 2007;132(3 Suppl):161S–77S.

    Article  PubMed  Google Scholar 

  5. 5.

    Brunelli A, Kim AW, Berger KI, Addrizzo-Harris DJ. Physiologic evaluation of the patient with lung cancer being considered for resectional surgery: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013;143(5 Suppl):e166S–90S.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Mazzone PJ. Preoperative evaluation of the lung cancer resection candidate. Expert Rev Respir Med. 2010;4(1):97–113.

    Article  PubMed  Google Scholar 

  7. 7.

    Baser S, Shannon VR, Eapen GA, Jimenez CA, Onn A, Keus L, et al. Pulmonary dysfunction as a major cause of inoperability among patients with non-small-cell lung cancer. Clin Lung Cancer. 2006;7(5):344–9.

    Article  PubMed  Google Scholar 

  8. 8.

    Ferguson MK, Watson S, Johnson E, Vigneswaran WT. Predicted postoperative lung function is associated with all-cause long-term mortality after major lung resection for cancer. Eur J Cardiothorac Surg. 2014;45(4):660–4.

  9. 9.

    Pompili C, Brunelli A, Xiumé F, Refai M, Salati M, Sabbatini A. Predictors of postoperative decline in quality of life after major lung resections. Eur J Cardiothorac Surg. 2011;39(5):732–7.

    Article  PubMed  Google Scholar 

  10. 10.

    Win T, Sharples L, Wells FC, Ritchie AJ, Munday H, Laroche CM. Effect of lung cancer surgery on quality of life. Thorax. 2005;60(3):234–8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Celli BR. What is the value of preoperative pulmonary function testing? Med Clin North Am. 1993;77(2):309–25.

    CAS  PubMed  Google Scholar 

  12. 12.

    Zibrak JD, O’Donnell CR, Marton K. Indications for pulmonary function testing. Ann Intern Med. 1990;112(10):763–71.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Armstrong P, Congleton J, Fountain SW, Jaboe T, McAuley DF, MacMahon J, et al. BTS guidelines: Guidelines on the selection of patients with lung cancer for surgery. British Thoracic Society andSociety of Cardiothoracic Surgeons of Great Britain and Ireland Working Party. Thorax. 2001;56:89-108.

  14. 14.

    Mountain CF. Revisions in the International System for Staging Lung Cancer. Chest. 1997;111(6):1710–7.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Brambilla E, Travis WD, Colby TV, Corrin B, Shimosato Y. The new World Health Organization classification of lung tumours. Eur Respir J. 2001;18(6):1059–68.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Detterbeck FC, Boffa DJ, Tanoue LT. The new lung cancer staging system. Chest. 2009;136(1):260–71.

    Article  PubMed  Google Scholar 

  17. 17.

    Travis WD, Giroux DJ, Chansky K, Crowley J, Asamura H, Brambilla E, et al. The IASLC Lung Cancer Staging Project: proposals for the inclusion of broncho-pulmonary carcinoid tumors in the forthcoming (seventh) edition of the TNM Classification for Lung Cancer. J Thorac Oncol. 2008;3(11):1213–23.

    Article  PubMed  Google Scholar 

  18. 18.

    Nakahara K, Monden Y, Ohno K, Miyoshi S, Maeda H, Kawashima Y. A method for predicting postoperative lung function and its relation to postoperative complications in patients with lung cancer. Ann Thorac Surg. 1985;39(3):260–5.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Singh V, Khatana S, Gupta P. Blood gas analysis for bedside diagnosis. Natl J Maxillofac Surg 2013;4(2):136-41.

  20. 20.

    Brundage MD, Davies D, Mackillop WJ. Prognostic factors in non-small cell lung cancer: a decade of progress. Chest. 2002;122(3):1037–57.

    Article  PubMed  Google Scholar 

  21. 21.

    Mizuguchi S, Nishiyama N, Iwata T, Nishida T, Izumi N, Tsukioka T, et al. Serum Sialyl Lewis x and cytokeratin 19 fragment as predictive factors for recurrence in patients with stage I non-small cell lung cancer. Lung Cancer. 2007;58(3):369–75.

    Article  PubMed  Google Scholar 

  22. 22.

    D’Amico TA, Aloia TA, Moore MB, Conlon DH, Herndon JE, Kinch MS, et al. Predicting the sites of metastases from lung cancer using molecular biologic markers. Ann Thorac Surg. 2001;72(4):1144–8.

    Article  PubMed  Google Scholar 

  23. 23.

    Moro-Sibilot D, Aubert A, Diab S, Lantuejoul S, Fourneret P, Brambilla E, et al. Comorbidities and Charlson score in resected stage I nonsmall cell lung cancer. Eur Respir J. 2005;26(3):480–6.

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Kearney DJ, Lee TH, Reilly JJ, DeCamp MM, Sugarbaker DJ. Assessment of operative risk in patients undergoing lung resection. Importance of predicted pulmonary function. Chest. 1994;105(3):753–9.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Ueda K, Hayashi M, Tanaka N, Tanaka T, Hamano K. Long-term pulmonary function after major lung resection. Gen Thorac Cardiovasc Surg. 2014;62(1):24–30.

    Article  PubMed  Google Scholar 

  27. 27.

    Pierce RJ, Copland JM, Sharpe K, Barter CE. Preoperative risk evaluation for lung cancer resection: predicted postoperative product as a predictor of surgical mortality. Am J Respir Crit Care Med. 1994;150(4):947–55.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Harpole DH, Liptay MJ, DeCamp MM, Mentzer SJ, Swanson SJ, Sugarbaker DJ. Prospective analysis of pneumonectomy: risk factors for major morbidity and cardiac dysrhythmias. Ann Thorac Surg. 1996;61(3):977–82.

    CAS  Article  PubMed  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Shinjiro Mizuguchi.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors were involved in the preparation of this manuscript. SM performed statistical analysis, wrote and revised the manuscript. NN and SM designed the study. SM, TI, NI, TT, SH, HK and NN performed the operation and participated in collecting the data. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Mizuguchi, S., Iwata, T., Izumi, N. et al. Arterial blood gases predict long-term prognosis in stage I non-small cell lung cancer patients. BMC Surg 16, 3 (2016).

Download citation


  • Arterial blood gas
  • Prognosis
  • Lung cancer
  • Early stage