1
|
Kadomatsu Y, Emoto R, Kubo Y, Nakanishi K, Ueno H, Kato T, Nakamura S, Mizuno T, Matsui S, Chen-Yoshikawa TF. Development of a machine learning-based risk model for postoperative complications of lung cancer surgery. Surg Today 2024:10.1007/s00595-024-02878-y. [PMID: 38896280 DOI: 10.1007/s00595-024-02878-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 04/30/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE To develop a comorbidity risk score specifically for lung resection surgeries. METHODS We reviewed the medical records of patients who underwent lung resections for lung cancer, and developed a risk model using data from 2014 to 2017 (training dataset), validated using data from 2018 to 2019 (validation dataset). Forty variables were analyzed, including 35 factors related to the patient's overall condition and five factors related to surgical techniques and tumor-related factors. The risk model for postoperative complications was developed using an elastic net regularized generalized linear model. The performance of the risk model was evaluated using receiver operating characteristic curves and compared with the Charlson Comorbidity Index (CCI). RESULTS The rate of postoperative complications was 34.7% in the training dataset and 21.9% in the validation dataset. The final model consisted of 20 variables, including age, surgical-related factors, respiratory function tests, and comorbidities, such as chronic obstructive pulmonary disease, a history of ischemic heart disease, and 12 blood test results. The area under the curve (AUC) for the developed risk model was 0.734, whereas the AUC for the CCI was 0.521 in the validation dataset. CONCLUSIONS The new machine learning model could predict postoperative complications with acceptable accuracy. CLINICAL REGISTRATION NUMBER 2020-0375.
Collapse
Affiliation(s)
- Yuka Kadomatsu
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
| | - Ryo Emoto
- Department of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keita Nakanishi
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Harushi Ueno
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Taketo Kato
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Shota Nakamura
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Tetsuya Mizuno
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Shigeyuki Matsui
- Department of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toyofumi Fengshi Chen-Yoshikawa
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| |
Collapse
|
2
|
Salz T, Chimonas S, Jinna S, Brens J, Kriplani A, Salner A, Rabinowits G, Currier B, Daly B, Korenstein D. Pain management for post-treatment survivors of complex cancers: a qualitative study of opioids and cannabis. Pain Manag 2024; 14:87-99. [PMID: 38318666 PMCID: PMC10918509 DOI: 10.2217/pmt-2023-0067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 12/01/2023] [Indexed: 02/07/2024] Open
Abstract
Aim: We aimed to understand experiences with opioids and cannabis for post-treatment cancer survivors. Patients & methods: We conducted seven focus groups among head and neck and lung cancer survivors, using standard qualitative methodology to explore themes around 1) post-treatment pain and 2) utilization, perceived benefits and perceived harms of cannabis and opioids. Results & conclusion: Survivors (N = 25) experienced addiction fears, stigma and access challenges for both products. Opioids were often perceived as critical for severe pain. Cannabis reduced pain and anxiety for many survivors, suggesting that anxiety screening, as recommended in guidelines, would improve traditional pain assessment. Opioids and cannabis present complex harms and benefits for post-treatment survivors who must balance pain management and minimizing side effects.
Collapse
Affiliation(s)
- Talya Salz
- Memorial Sloan Kettering Cancer Center, Department of Epidemiology & Biostatistics, New York, NY 10017, USA
| | - Susan Chimonas
- Memorial Sloan Kettering Cancer Center, Department of Epidemiology & Biostatistics, New York, NY 10017, USA
| | - Sankeerth Jinna
- Memorial Sloan Kettering Cancer Center, Department of Epidemiology & Biostatistics, New York, NY 10017, USA
| | - Jessica Brens
- Memorial Sloan Kettering Cancer Center, Department of Advanced Practice Providers, New York, NY 10065, USA
| | - Anuja Kriplani
- Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, NY 10065, USA
| | - Andrew Salner
- Hartford Hospital, Department of Radiation Oncology, Hartford, CT 06106, USA
| | - Guilherme Rabinowits
- Moffit Cancer Center, Department of Head and Neck-Endocrine Oncology, Tampa, FL 33612, USA
| | - Beatriz Currier
- Miami Cancer Institute, Department of Medicine, Miami, FL 33176, USA
| | - Bobby Daly
- Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, NY 10065, USA
| | - Deborah Korenstein
- Mount Sinai Hospital, Department of Internal Medicine, New York, NY 10001, USA
| |
Collapse
|
3
|
Fink CA, Weykamp F, Adeberg S, Bozorgmehr F, Christopoulos P, Lang K, König L, Hörner-Rieber J, Thomas M, Steins M, El-Shafie RA, Rieken S, Bernhardt D, Debus J. Comorbidity in limited disease small-cell lung cancer: Age-adjusted Charlson comorbidity index and its association with overall survival following chemoradiotherapy. Clin Transl Radiat Oncol 2023; 42:100665. [PMID: 37564923 PMCID: PMC10410177 DOI: 10.1016/j.ctro.2023.100665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 07/03/2023] [Accepted: 07/22/2023] [Indexed: 08/12/2023] Open
Abstract
Background Combined, platinum-based thoracic chemoradiotherapy (TCR) is the current state-of-the-art treatment for patients with limited disease (LD) small-cell lung cancer (SCLC). There is only limited data available regarding the effect of comorbidities on survival following TRC. The purpose of this study is to assess the age-adjusted Charlson comorbidity index (ACCI) as a predictor of overall survival in LD-SCLC patients undergoing TCR. Patients and methods We retrospectively analyzed 367 SCLC patients diagnosed with LD-SCLC who received TCR between 2003 and 2017. We evaluated the ACCI (n = 348) as a predictor of overall survival (OS). In this cohort, 322 patients (88%) received platinum-based TCR (either cisplatin or carboplatin), and 37 (10%) patients received vincristine based TCR. Median radiation dose was 60 Gy (range 24-66 Gy). Additionally, 83% of patients (n = 303) received prophylactic cranial irradiation (PCI, 30 Gy in 2 Gy fractions). Kaplan-Meier survival analysis was performed for OS. For comparison of survival curves, Log-rank (Mantel-Cox) test was used. Univariate and multivariate Cox proportional-hazards ratios (HRs) were used to assess the influence of cofactors on OS. Results Patients with an ACCI > 6 had a significantly shorter OS compared with patients with an ACCI ≤ 6 (median 11 vs. 20 months; p = 0.005). Univariate analysis for OS revealed a statistically significant effect for ACCI > 6 (HR 1.7; 95% CI 1.2-2.4; p = 0.003), PCI (HR 0.5; 95% CI 0.3-0.7; p < 0.001), and Karnofsky performance status ≤ 70% (KPS) (HR 1.4; 95% CI 1.1-1.90; p = 0.015). In multivariate analysis, OS was significantly associated with PCI (HR 0.6; 95% CI 0.4-0.9; p = 0.022) and ACCI > 6 (HR 1.5; 95% CI 1.0-2.1; p = 0.049). Conclusion Comorbidity is significantly associated with survival in patients with LD-SCLC undergoing TCR. The ACCI may be a valuable tool to identify patients with a shorter survival and thus might be used for risk stratification and oncological decision making.
Collapse
Affiliation(s)
- Christoph A. Fink
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
| | - Fabian Weykamp
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sebastian Adeberg
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Marburg Ion-Beam Therapy Center (MIT), Department of Radiation Oncology, Heidelberg University Hospital, Marburg, Germany
- Department of Radiation Oncology, Marburg University Hospital, Marburg, Germany
| | - Farastuk Bozorgmehr
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Department of Thoracic Oncology, Thoraxklinik, Heidelberg University, Heidelberg, Germany Translational Lung Research Centre Heidelberg (TLRC-H), Germany
- Member of the German Centre for Lung Research (DZL), Heidelberg, Germany
| | - Petros Christopoulos
- Department of Thoracic Oncology, Thoraxklinik, Heidelberg University, Heidelberg, Germany Translational Lung Research Centre Heidelberg (TLRC-H), Germany
- Member of the German Centre for Lung Research (DZL), Heidelberg, Germany
| | - Kristin Lang
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
| | - Laila König
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
| | - Juliane Hörner-Rieber
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
| | - Michael Thomas
- Department of Thoracic Oncology, Thoraxklinik, Heidelberg University, Heidelberg, Germany Translational Lung Research Centre Heidelberg (TLRC-H), Germany
- Member of the German Centre for Lung Research (DZL), Heidelberg, Germany
| | - Martin Steins
- Department of Thoracic Oncology, Thoraxklinik, Heidelberg University, Heidelberg, Germany Translational Lung Research Centre Heidelberg (TLRC-H), Germany
| | - Rami A. El-Shafie
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Department of Radiation Oncology, University Hospital Goettingen, Goettingen, Germany
- Comprehensive Cancer Center Niedersachsen, partner site Goettingen, Germany
| | - Stefan Rieken
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Department of Radiation Oncology, University Hospital Goettingen, Goettingen, Germany
- Comprehensive Cancer Center Niedersachsen, partner site Goettingen, Germany
| | - Denise Bernhardt
- Department of Radiation Oncology, Technical University, Klinikum rechts der Isar, Munich, Germany
| | - Jürgen Debus
- University Hospital Heidelberg, Department of Radiation Oncology, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany
- German Cancer Consortium (DKTK), partner site Heidelberg, Germany
| |
Collapse
|
4
|
Tafenzi HA, Choulli F, Baladi A, Essaadi I, Belbaraka R. Lung cancer in middle and southern Morocco. Ecancermedicalscience 2023; 17:1518. [PMID: 37113715 PMCID: PMC10129405 DOI: 10.3332/ecancer.2023.1518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Indexed: 03/14/2023] Open
Abstract
Purpose Determining risk factors associated with a fatal disease such as lung cancer (LC) remains an important key to understanding the factors related to its development and therefore using the correct emergent or accessible treatments. For that, we sought to highlight by describing, and analysing, the risk factors related to LC survival, reflecting the actual situation in Morocco. Patients and methods We included 987 LC patients diagnosed from 2015 to 2021 at the Medical Oncology Department at the Mohammed VI University Hospital of Marrakech. An overview of the LC situation was described, and analysed, to determine the risk factors related to survival. The independent prognostic factors were determined using Cox Proportional Hazards Regression Analysis. To create a distinction between different risks group in the survival curve, stratification was done, respectively, within sex, age, histology type, treatments and radiation therapy. Results We finally included 862 patients with 15 parameters among the 27 extracted, all meeting the inclusion criteria. 89.1% of the patients were male (n = 768) and 10.9% were female (n = 94), of whom 83.5% had a history of tobacco smoking (n = 720). The median survival of both sexes was 716 (5-2,167) days. The average age at diagnosis was 60 years. Five hundred and thirty-four patients presented with advanced stage. Patients above 66 years were the more diagnosed category with adenocarcinoma at T4N2M1c pathological category, and endocrinal comorbidity, in addition to pleurisy syndrome. Moreover, family history was found to be a bad prognostic factor. Interestingly, smoking status was not a bad contributor to survival. Age at diagnosis, histology subtype, performance status, haemoglobin, numbers of cures of the first-line chemotherapy, radiotherapy, anaemia and treatments were identified as risk factors related to survival. Conclusion We established a descriptive and analytical overview of the current LC epidemiology situation in the oncology division of Mohammed VI University Hospital in a non-industrialised state taking into account smoking status.
Collapse
Affiliation(s)
- Hassan Abdelilah Tafenzi
- Department of Medical Oncology, Mohammed VI University Hospital of Marrakech, Marrakech 40000, Morocco
- Biosciences and Health Laboratory, Faculty of Medicine and Pharmacy, Cadi Ayyad University, Marrakech 40000, Morocco
| | - Farah Choulli
- Department of Medical Oncology, Mohammed VI University Hospital of Marrakech, Marrakech 40000, Morocco
- Biosciences and Health Laboratory, Faculty of Medicine and Pharmacy, Cadi Ayyad University, Marrakech 40000, Morocco
| | - Anass Baladi
- Department of Medical Oncology, Mohammed VI University Hospital of Marrakech, Marrakech 40000, Morocco
| | - Ismail Essaadi
- Biosciences and Health Laboratory, Faculty of Medicine and Pharmacy, Cadi Ayyad University, Marrakech 40000, Morocco
- Department of Medical Oncology, Avicenna Military Hospital of Marrakech, Marrakech 40000, Morocco
| | - Rhizlane Belbaraka
- Department of Medical Oncology, Mohammed VI University Hospital of Marrakech, Marrakech 40000, Morocco
- Biosciences and Health Laboratory, Faculty of Medicine and Pharmacy, Cadi Ayyad University, Marrakech 40000, Morocco
| |
Collapse
|
5
|
Older patients with EGFR mutation-positive non-small cell lung cancer treated with afatinib in clinical practice: A subset analysis of the non-interventional GIDEON study. J Geriatr Oncol 2023; 14:101394. [PMID: 36323612 DOI: 10.1016/j.jgo.2022.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/22/2022] [Accepted: 10/12/2022] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Lung cancer is most common in older patients; despite this, older patients are historically under-represented in clinical studies. Here we present data from GIDEON, a study undertaken in Germany in patients with epidermal growth factor receptor mutation-positive (EGFRm+) non-small cell lung cancer (NSCLC) receiving first-line afatinib. GIDEON enrolled a high proportion of patients aged ≥70 years, providing an opportunity to study afatinib use in older patients. MATERIALS AND METHODS In GIDEON (NCT02047903), a prospective non-interventional study, patients with EGFRm+ NSCLC received first-line afatinib in routine clinical practice until disease progression, death or intolerable adverse events. Key objectives were twelve-month progression-free survival (PFS) rate and objective response rate (ORR). Overall survival (OS) and safety were also assessed. This post hoc analysis explores outcomes of patients grouped by age (≥70 and <70 years). RESULTS In the 152 patients enrolled in GIDEON (69.7% female, 64.5%/22.4%/13.2% with Del19/L858R/other exon 18-21 mutations, 33.6% with brain metastases), the median age was 67 years (range 38-89) and 43.4% were aged ≥70 years. In the ≥70 years age group and the <70 years age group, twelve-month PFS rate was 58.9% and 43.9%, median PFS was 17.2 months and 10.6 months, ORR was 72.0% and 76.5%, twelve-month OS rate was 79.1% and 79.2%, 24-month OS rate was 52.0% and 61.7%, and median OS was 30.4 months and 27.4 months, respectively. In the ≥70 years age group and the <70 years age group, grade ≥3 adverse drug reactions (ADRs) were observed in 34.8% and 40.7% of patients, respectively; the most common were diarrhea (13.6% and 14.0%), acneiform dermatitis (7.6% and 7.0%), stomatitis (1.5% and 4.7%) and maculopapular rash (1.5% and 4.7%). DISCUSSION Patients with EGFRm+ NSCLC aged ≥70 years showed clinical benefit from first-line afatinib with no unexpected safety signals, supporting the use of afatinib in this setting.
Collapse
|
6
|
Quaquarini E, Sottotetti F, Agustoni F, Pozzi E, Malovini A, Teragni CM, Palumbo R, Saltalamacchia G, Tagliaferri B, Balletti E, Rinaldi P, Canino C, Pedrazzoli P, Bernardo A. Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study. J Pers Med 2022; 12:jpm12050679. [PMID: 35629102 PMCID: PMC9144987 DOI: 10.3390/jpm12050679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 04/10/2022] [Accepted: 04/21/2022] [Indexed: 02/04/2023] Open
Abstract
Introduction: Immune checkpoint inhibitors (ICIs) have become the standard of treatment for patients with non-small cell lung cancer (NSCLC). However, there are still many uncertainties regarding the selection of the patient who could benefit more from this treatment. This study aims to evaluate the prognostic and predictive role of clinical and biological variables in unselected patients with advanced NSCLC candidates to receive ICIs. Methods: This is an observational and prospective study. The primary objective is the evaluation of the relationship between clinical and biological variables and the response to ICIs. Secondary objectives included: safety; assessment of the relationship between clinical and biological parameters/concomitant treatments and progression-free survival at 6 months and overall survival at 6 and 12 months. Nomograms to predict these outcomes have been generated. Results: A total of 166 patients were included. An association with response was found in the presence of the high immunohistochemical PD-L1 expression, squamous cell histotype, and early line of treatment, whereas a higher probability of progression was seen in the presence of anemia, high LDH values and neutrophil/lymphocyte ratio (NLR), pleural involvement, and thrombosis before treatment. The nomogram showed that anemia, PD-L1 expression, NLR, and LDH represented the most informative predictor as regards the three parameters of interest. Conclusions: In the era of personalized medicine, the results are useful for stratifying the patients and tailoring the treatments, considering both the histological findings and the clinical features of the patients.
Collapse
Affiliation(s)
- Erica Quaquarini
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
- Correspondence: ; Tel.: +39-0382-592202
| | - Federico Sottotetti
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
| | - Francesco Agustoni
- Medical Oncology Unit, IRCCS San Matteo Hospital Foundation, 27100 Pavia, Italy; (F.A.); (C.C.); (P.P.)
| | - Emma Pozzi
- Oncology Unit, Ospedale Civile, 27058 Voghera, Italy;
| | - Alberto Malovini
- Laboratory of Informatics and System Engineering for Clinical Research, ICS Maugeri-IRCCS SpA SB, Via Maugeri 10, 27100 Pavia, Italy;
| | - Cristina Maria Teragni
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
| | - Raffaella Palumbo
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
| | - Giuseppe Saltalamacchia
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
- Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy
| | - Barbara Tagliaferri
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
| | - Emanuela Balletti
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
| | - Pietro Rinaldi
- Unit of Thoracic Surgery, IRCCS San Matteo Hospital Foundation, 27100 Pavia, Italy;
| | - Costanza Canino
- Medical Oncology Unit, IRCCS San Matteo Hospital Foundation, 27100 Pavia, Italy; (F.A.); (C.C.); (P.P.)
- Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy
| | - Paolo Pedrazzoli
- Medical Oncology Unit, IRCCS San Matteo Hospital Foundation, 27100 Pavia, Italy; (F.A.); (C.C.); (P.P.)
- Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy
| | - Antonio Bernardo
- Medical Oncology Unit, ICS Maugeri-IRCCS SpA SB, 27100 Pavia, Italy; (F.S.); (C.M.T.); (R.P.); (G.S.); (B.T.); (E.B.); (A.B.)
| |
Collapse
|
7
|
Winther-Larsen A, Aggerholm-Pedersen N, Sandfeld-Paulsen B. Inflammation-scores as prognostic markers of overall survival in lung cancer: a register-based study of 6,210 Danish lung cancer patients. BMC Cancer 2022; 22:63. [PMID: 35027001 PMCID: PMC8759208 DOI: 10.1186/s12885-021-09108-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 12/13/2021] [Indexed: 01/21/2023] Open
Abstract
Background Inflammation-scores based on general inflammation markers are suggested as prognostic markers of overall survival (OS) in lung cancer. However, whether these inflammation-scores improves the prognostication performed by well-established prognostic markers is unsettled. In a large register-based lung cancer patient cohort, nine different inflammation-scores were compared, and their ability to optimize the prognostication of OS was evaluated. Methods Lung cancer patients diagnosed from 2009–2018 in The Central Denmark Region were identified in the Danish Lung Cancer Registry. Pre-treatment inflammation markers were extracted from the clinical laboratory information system. Prognostication of OS was evaluated by Cox proportional hazard models. Comparison of the inflammation-scores and their added value to established prognostic markers were assessed by Akaike's information criteria and Harrel's C-index. Results In total, 5,320 patients with non-small cell lung cancer (NSCLC) and 890 patients with small cell lung cancer (SCLC) were identified. In NSCLC, the Aarhus composite biomarker score (ACBS), including albumin, C-reactive protein, neutrophil count, lymphocyte count and haemoglobin, and the neutrophil-lymphocyte-ratio (NLR) were superior. Furthermore, they improved the prognostication of OS significantly (p <0.0001) (ACBS: HR: 2.24 (95%CI: 1.97–2.54); NLR: HR: 1.58 (95%CI: 1.47 – 1.69)). In SCLC, three scores were equally superior and improved the prognostication of OS p < 0.0001): neutrophil–lymphocyte-ratio (HR:1.62 (95%CI: 1.38–1.90)), modified Glasgow Prognostic Score (mGPS) (HR:1.70 (95%CI: 1.55–1.86) and the Combined NLR and GPS (CNG) (HR:2.10 (95%CI: 1.77–2.49). Conclusions The ACBS was the optimal score in NSCLC, whereas neutrophil–lymphocyte-ratio, mGPS and CNG were equally superior in SCLC. Additionally, these inflammation-scores all optimised the prognostication of OS and added value to well-established prognostic markers. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-09108-5.
Collapse
Affiliation(s)
- Anne Winther-Larsen
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | | | - Birgitte Sandfeld-Paulsen
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark. .,Department of Clinical Biochemistry, Viborg Regional Hospital Heibergs Allé 5A8800, Viborg, Denmark.
| |
Collapse
|
8
|
Wang Y, Lin X, Sun D. A narrative review of prognosis prediction models for non-small cell lung cancer: what kind of predictors should be selected and how to improve models? ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1597. [PMID: 34790803 PMCID: PMC8576716 DOI: 10.21037/atm-21-4733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 10/02/2021] [Indexed: 12/18/2022]
Abstract
Objective To discover potential predictors and explore how to build better models by summarizing the existing prognostic prediction models of non-small cell lung cancer (NSCLC). Background Research on clinical prediction models of NSCLC has experienced explosive growth in recent years. As more predictors of prognosis are discovered, the choice of predictors to build models is particularly important, and in the background of more applications of next-generation sequencing technology, gene-related predictors are widely used. As it is more convenient to obtain samples and follow-up data, the prognostic model is preferred by researchers. Methods PubMed and the Cochrane Library were searched using the items “NSCLC”, “prognostic model”, “prognosis prediction”, and “survival prediction” from 1 January 1980 to 5 May 2021. Reference lists from articles were reviewed and relevant articles were identified. Conclusions The performance of gene-related models has not obviously improved. Relative to the innovation and diversity of predictors, it is more important to establish a highly stable model that is convenient for clinical application. Most of the prevalent models are highly biased and referring to PROBAST at the beginning of the study may be able to significantly control the bias. Existing models should be validated in a large external dataset to make a meaningful comparison.
Collapse
Affiliation(s)
- Yuhang Wang
- Graduate School, Tianjin Medical University, Tianjin, China
| | | | - Daqiang Sun
- Graduate School, Tianjin Medical University, Tianjin, China.,Department of Thoracic Surgery, Tianjin Chest Hospital of Nankai University, Tianjin, China
| |
Collapse
|
9
|
Niksic M, Redondo-Sanchez D, Chang YL, Rodriguez-Barranco M, Exposito-Hernandez J, Marcos-Gragera R, Oliva-Poch E, Bosch-Barrera J, Sanchez MJ, Luque-Fernandez MA. The role of multimorbidity in short-term mortality of lung cancer patients in Spain: a population-based cohort study. BMC Cancer 2021; 21:1048. [PMID: 34556072 PMCID: PMC8461961 DOI: 10.1186/s12885-021-08801-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 09/09/2021] [Indexed: 01/25/2023] Open
Abstract
AIM Chronic diseases often occur simultaneously and tend to be associated with adverse health outcomes, but limited research has been undertaken to understand their role in lung cancer mortality. Therefore, this study aims to describe the prevalence and patterns of having one (comorbidity) or ≥ 2 chronic diseases (multimorbidity) among lung cancer patients in Spain, and to examine the association between comorbidity or multimorbidity and short-term mortality risk at six months after cancer diagnosis. METHODS In this population-based cohort study, data were drawn from two Spanish population-based cancer registries, Girona and Granada, and electronic health records. We identified 1259 adult lung cancer patients, diagnosed from 1st January 2011 to 31st December 2012. We identified the most common patterns of individual comorbidities and their pairwise correlations. We used a flexible parametric modelling approach to assess the overall short-term mortality risk 6 months after cancer diagnosis by levels of comorbidity after adjusting for age, sex, smoking status, province of residence, surgery, cancer stage, histology, and body mass index. RESULTS We found high prevalence of comorbidity in lung cancer patients, especially among the elderly, men, those diagnosed with advanced-stage tumours, smokers, and obese patients. The most frequent comorbidities were chronic obstructive pulmonary disease (36.6%), diabetes (20.7%) and heart failure (16.8%). The strongest pairwise correlation was the combination of heart failure with renal disease (r = 0.20, p < 0.01), and heart failure with diabetes (r = 0.16, p < 0.01). Patients with either one or two or more comorbidities had 40% higher overall mortality risk than those without comorbidities (aHR for comorbidity: 1.4, 95%CI: 1.1-1.7; aHR for multimorbidity: 1.4, 95%CI: 1.1-1.8), when relevant confounding factors were considered. CONCLUSIONS The presence of comorbid diseases, rather than the number of comorbidities, was associated with increasing the risk of short-term lung cancer mortality in Spain. Comorbidity was a consistent and independent predictor of mortality among lung cancer patients, six months after diagnosis. The most common comorbid conditions were age-, obesity- and tobacco-related diseases. Our findings highlight the need to develop targeted preventive interventions and more personalised clinical guidelines to address the needs of lung cancer patients with one or more comorbidities in Spain.
Collapse
Affiliation(s)
- Maja Niksic
- Department of Non-Communicable Disease Epidemiology, Inequalities in Cancer Outcomes Network, London School of Hygiene and Tropical Medicine, London, UK
| | - Daniel Redondo-Sanchez
- Non-Communicable Disease and Cancer Epidemiology Group, Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain
- Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada Cancer Registry, Granada, Spain
| | - Yoe-Ling Chang
- Non-Communicable Disease and Cancer Epidemiology Group, Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain
- Andalusian School of Public Health (EASP), Granada Cancer Registry, Granada, Spain
| | - Miguel Rodriguez-Barranco
- Non-Communicable Disease and Cancer Epidemiology Group, Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain
- Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada Cancer Registry, Granada, Spain
| | - Jose Exposito-Hernandez
- Non-Communicable Disease and Cancer Epidemiology Group, Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain
- Department of Oncology, HU Virgen de las Nieves, Granada, Spain
| | - Rafael Marcos-Gragera
- Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain
- Department of Medical Oncology, Institut Català d'Oncologia Hospital Universitari de Girona Dr. Josep Trueta, Girona, Spain
- Descriptive Epidemiology, Genetics and Cancer Prevention Group, Biomedical Research Institute (IDIBGI), Girona, Spain
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Catalan Institute of Oncology, Girona, Spain
| | - Ester Oliva-Poch
- Radiation Oncology Department, Catalan Institute of Oncology, Hospital Trueta, Girona, Spain
| | - Joaquim Bosch-Barrera
- Department of Medical Oncology, Institut Català d'Oncologia Hospital Universitari de Girona Dr. Josep Trueta, Girona, Spain
| | - Maria-Jose Sanchez
- Non-Communicable Disease and Cancer Epidemiology Group, Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain
- Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada Cancer Registry, Granada, Spain
- Department of Public Health and Preventive Medicine, University of Granada, Granada, Spain
| | - Miguel Angel Luque-Fernandez
- Department of Non-Communicable Disease Epidemiology, Inequalities in Cancer Outcomes Network, London School of Hygiene and Tropical Medicine, London, UK.
- Non-Communicable Disease and Cancer Epidemiology Group, Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), Granada, Spain.
- Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
- Andalusian School of Public Health (EASP), Granada Cancer Registry, Granada, Spain.
| |
Collapse
|
10
|
Zhu D, Ding R, Ma Y, Chen Z, Shi X, He P. Comorbidity in lung cancer patients and its association with hospital readmission and fatality in China. BMC Cancer 2021; 21:557. [PMID: 34001011 PMCID: PMC8130249 DOI: 10.1186/s12885-021-08272-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 04/29/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Comorbidity has been established as one of the important predictors of poor prognosis in lung cancer. In this study, we analyzed the prevalence of main comorbidities and its association with hospital readmission and fatality for lung cancer patients in China. METHODS The analyses are based on China Urban Employees' Basic Medical insurance (UEBMI) and Urban Residents' Basic Medical Insurance (URBMI) claims database and Hospital Information System (HIS) Database in the Beijing University Cancer Hospital in 2013-2016. We use Elixhauser Comorbidity Index to identify main types of comorbidities. RESULTS Among 10,175 lung cancer patients, 32.2% had at least one comorbid condition, and the proportion of patients with one, two, and three or more comorbidities was 21.7, 8.3 and 2.2%, respectively. The most prevalent comorbidities identified were other malignancy (7.5%), hypertension (5.4%), pulmonary disease (3.7%), diabetes mellitus (2.5%), cardiovascular disease (2.4%) and liver disease (2.3%). The predicted probability of having comorbidity and the predicted number of comorbidities was higher for middle elderly age groups, and then decreased among patients older than 85 years. Comorbidity was positively associated with increased risk of 31-days readmission and in-hospital death. CONCLUSION Our study is the first to provide an overview of comorbidity among lung cancer patients in China, underlines the necessity of incorporating comorbidity in the design of screening, treatment and management of lung cancer patients in China.
Collapse
Affiliation(s)
- Dawei Zhu
- China Center for Health Development Studies, Peking University, Beijing, 100191, China
| | - Ruoxi Ding
- China Center for Health Development Studies, Peking University, Beijing, 100191, China
| | - Yong Ma
- China Health Insurance Research Association, Beijing, 100013, China
| | - Zhishui Chen
- Department of Medical Insurance, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, 100142, China
| | - Xuefeng Shi
- School of Management, Beijing University of Chinese Medicine, Beijing, 100029, China.
| | - Ping He
- China Center for Health Development Studies, Peking University, Beijing, 100191, China.
| |
Collapse
|
11
|
Goffin JR, Corriveau S, Tang GH, Pond GR. Management and outcomes of patients with chronic obstructive lung disease and lung cancer in a public healthcare system. PLoS One 2021; 16:e0251886. [PMID: 33999942 PMCID: PMC8128239 DOI: 10.1371/journal.pone.0251886] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 05/05/2021] [Indexed: 12/24/2022] Open
Abstract
Hypothesis There is limited data on the care and outcomes of individuals with both chronic obstructive pulmonary disease (COPD) and lung cancer, particularly in advanced disease. We hypothesized such patients would receive less cancer treatment and have worse outcomes. Methods We analyzed administrative data from the province of Ontario including demographics, hospitalization records, physician billings, cancer diagnosis, and treatments. COPD was defined using the ICES-derived COPD cohort (1996–2014) with data from 2002 to 2014. Descriptive statistics and multivariable analyses were undertaken. Results Of 105 304 individuals with lung cancer, 43 375 (41%) had stage data and 36 738 (34.9%) had COPD. Those with COPD were likely to be younger, have a Charlson score ≤ 1, have lower income, to live rurally, and to have stage I/II lung cancer (29.8 vs 26.5%; all p<0.001). For the COPD population with stage I/II cancer, surgery and adjuvant chemotherapy were less likely (56.8 vs. 65.9% and 15.4 vs. 17.1%, respectively), while radiation was more likely (26.0 vs. 21.8%) (p all < 0.001). In the stage III/IV population, individuals with COPD received less chemotherapy (55.9 vs 64.4%) or radiation (42.5 vs 47.5%; all p<0.001). Inhaler and oxygen use was higher those with COPD, as were hospitalizations for respiratory infections and COPD exacerbations. On multivariable analysis, overall survival was worse among those with COPD (HR 1.20, 95% CI 1.19–1.22). Conclusions A co-diagnosis of COPD and lung cancer is associated with less curative treatment in early stage disease, less palliative treatment in late stage disease, and poorer outcomes.
Collapse
Affiliation(s)
- John R. Goffin
- Department of Oncology, McMaster University, Hamilton, Ontario, Canada
- * E-mail:
| | - Sophie Corriveau
- Division of Respirology, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Grace H. Tang
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Gregory R. Pond
- Department of Oncology, McMaster University, Hamilton, Ontario, Canada
| |
Collapse
|
12
|
Raaby Gammelgaard K, Sandfeld-Paulsen B, Godsk SH, Demuth C, Meldgaard P, Sorensen BS, Jakobsen MR. cGAS-STING pathway expression as a prognostic tool in NSCLC. Transl Lung Cancer Res 2021; 10:340-354. [PMID: 33569317 PMCID: PMC7867790 DOI: 10.21037/tlcr-20-524] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background Disease recurrence in localized lung adenocarcinoma is a major obstacle for improving the overall outcome of lung cancer. Thus, better prognostic biomarkers are needed to identify patients at risk. In order to clear cancer, immune detection of tumor cells is of vital importance. DNA-leakage into the cytosol and tumor environment is one important tumor-associated danger signal and cGAS is a pivotal DNA-sensor that detects misplaced DNA and initiates an innate immune response. In this study, we investigate the cGAS-STING-pathway expression in tumor tissue and circulating immune cells from lung adenocarcinoma patients in relation to stage of disease and overall survival (OS). Methods Gene expression was measured using target specific droplet digital polymerase chain reaction (ddPCR) assays in a cohort of 80 patients with lung adenocarcinoma and 45 patients suspected of lung cancer, but determined to be cancer-free. The expression values were correlated to stage of disease. For further exploration of stage dependent expression, we used a publicly available gene expression data set to stratify patients by stage and correlate gene expression to OS. Results In both tumor tissue and peripheral blood mononuclear cells (PBMCs) from cancer patients, we observed differential expression of cGAS-STING pathway components compared to cancer-free individuals. Furthermore, cGAS-STING pathway expression was elevated in PBMCs from patients with localized disease (stage I and II) compared to patients with metastatic disease (stage III and IV). Survival analysis based on publicly available gene expression data sets demonstrated a superior OS for patients with localized disease and high levels of cGAS, STING and TBK1. Conclusions The expression of the cGAS-STING pathway is stage dependent and high expression is correlated with localized adenocarcinoma. For patients with localized disease, high cGAS, STING and TBK1 expression correlated with improved OS and may be a potential biomarker for this patient subgroup.
Collapse
Affiliation(s)
| | | | | | - Christina Demuth
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Peter Meldgaard
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Boe Sandahl Sorensen
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | | |
Collapse
|
13
|
Gouliaev A, Hilberg O, Christensen NL, Rasmussen T, Ibsen R, Løkke A. Comorbidity among Danish lung cancer patients before and after initial cancer diagnosis. Eur Clin Respir J 2020; 8:1861579. [PMID: 33425261 PMCID: PMC7758043 DOI: 10.1080/20018525.2020.1861579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 12/05/2020] [Indexed: 12/29/2022] Open
Abstract
Objective: Lung cancer is the leading cause of cancer-related death worldwide. This population-based longitudinal study investigates survival rates and the burden of comorbidity before and after being diagnosed with lung cancer in Denmark. Methods: From the Danish National Patient Registry (NPR) and the Danish Civil Registration System (CPR), 53,749 patients with lung cancer were identified and matched with 214,304 controls on age, gender, region of residence and marital status in the period 1998-2010. From the NPR, data on survival and comorbidity, registered as ICD-10 diagnoses, were extracted. Comorbidity was assessed using the Deyo-Charlson comorbidity score (DCcs) and mortality using Kaplan-Meier survival curves. Results: 1-year survival rate for Danish lung cancer patients was 51.7 % (CI 51.3-52.1) and 5-year survival rate was 14.7 % (CI 14.3-15.0) compared to 96.8 % (CI 96.7-96.8) and 84.0 % (CI 83.9-84.2) for controls respectively. Overall, cases had significantly more comorbidity compared to controls before being diagnosed with lung cancer. Prior to being diagnosed with lung cancer, more cases than controls had been diagnosed with other malignancies (11.4 % vs 6.0 % p<0.005), diseases of the circulatory system (16.4 % vs 13.0 % p<0.005) and respiratory diseases (12.2 % vs 4.8 % p<0.005). Among lung cancer patients 21.8 % had a DCcs ≥ 1 compared to 13.3 % among controls (P<0.005). The 1-year survival for DCcs =0 was 54.8 % (CI 54.3-55.3) for lung cancer patients and 97.8 % (CI 97.7-97.9) for controls. Decreasing survival with increasing DCcs was found in both groups. Conclusion: This study provides unique nationwide comorbidity data on patients before and after being diagnosed with lung cancer. We found increased mortality with increasing comorbidity, however more pronounced among controls compared to patients with lung cancer.
Collapse
Affiliation(s)
- Anja Gouliaev
- Department of Pulmonary Medicine and Allergy, Aarhus University Hospital, Aarhus, Denmark
| | - Ole Hilberg
- Department of Medicine, Little Belt Hospital, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | | | - Torben Rasmussen
- Department of Pulmonary Medicine and Allergy, Aarhus University Hospital, Aarhus, Denmark
| | | | - Anders Løkke
- Department of Medicine, Little Belt Hospital, Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| |
Collapse
|
14
|
Raymond DP. Commentary: Understanding limitations. J Thorac Cardiovasc Surg 2020; 163:274-275. [PMID: 33494915 DOI: 10.1016/j.jtcvs.2020.12.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/03/2020] [Accepted: 12/03/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Daniel P Raymond
- Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, Ohio.
| |
Collapse
|
15
|
Wohlgemut JM, Ramsay G, Griffin RL, Jansen JO. Impact of deprivation and comorbidity on outcomes in emergency general surgery: an epidemiological study. Trauma Surg Acute Care Open 2020; 5:e000500. [PMID: 32789189 PMCID: PMC7392526 DOI: 10.1136/tsaco-2020-000500] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/07/2020] [Accepted: 07/08/2020] [Indexed: 12/23/2022] Open
Abstract
Background The impact of socioeconomic deprivation and comorbidities on the outcome of patients who require emergency general surgery (EGS) admission is poorly understood. The aim of this study was to examine the effect of deprivation and comorbidity on mortality, discharge destination and length of hospital stay (LOS) in patients undergoing EGS in Scotland. Methods Prospectively collected data from all Scottish adult patients (aged >15 years) requiring EGS admitted between 1997 and 2016 were obtained from the Scottish Government. Data included age, sex, Scottish Index of Multiple Deprivation (SIMD), 5-year Charlson Comorbidity Index (CCI), whether an operation took place and outcomes including mortality, discharge destination and LOS. Logistic regression was used for the analysis of mortality and discharge destination and Poisson regression was used for LOS. Results 1 477 810 EGS admissions were analyzed. 16.2% were in the most deprived SIMD decile and 5.6% in the least deprived SIMD decile. 75.6% had no comorbidity, 20.3% had mild comorbidity, 2.5% had moderate comorbidity and 1.6% had severe comorbidity. 78.6% were discharged directly home. Inpatient, 30-day, 90-day and 1-year crude mortality was 1.7%, 3.7%, 7.2% and 12.4%, respectively. Logistic regression showed that severe comorbidity was associated with not being discharged directly to home (OR 0.38, 95% CI 0.37 to 0.39) and higher inpatient mortality (OR 13.74, 95% CI 13.09 to 14.42). Compared with the most affluent population, the most deprived population were less likely to be discharged directly to home (OR 0.97, 95% CI 0.95 to 0.99) and had higher inpatient mortality (OR 1.36, 95% CI 1.8 to 1.46). Poisson analysis showed that severe comorbidity (OR 1.69, 95% CI 1.68 to 1.69) and socioeconomic deprivation (OR 1.11, 95% CI 1.11 to 1.12) were associated with longer LOS. Discussion Increased levels of comorbidity and, to a lesser extent, socioeconomic deprivation are key drivers of mortality, discharge destination and LOS following admission to an EGS service. Level of evidence III (prospective/retrospective with up to two negative criteria). Study type Epidemiological/prognostic.
Collapse
Affiliation(s)
- Jared M Wohlgemut
- School of Medicine, Medical Sciences and Nutrition, University of Aberdeen Division of Applied Health Sciences, Aberdeen, UK.,Department of General Surgery, Queen Elizabeth University Hospital, Glasgow, UK
| | - George Ramsay
- Rowett Institute, University of Aberdeen Division of Applied Health Sciences, Aberdeen, UK.,Department of General Surgery, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Russell L Griffin
- Department of Epidemiology, The University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Jan O Jansen
- Division of Acute Care Surgery, Department of Surgery, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| |
Collapse
|
16
|
A Cohort Study of Exposure to Antihyperglycemic Therapy and Survival in Patients with Lung Cancer. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17051747. [PMID: 32156062 PMCID: PMC7084663 DOI: 10.3390/ijerph17051747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 03/03/2020] [Accepted: 03/04/2020] [Indexed: 12/24/2022]
Abstract
We evaluated the effect of antihyperglycemic therapy on the survival of patients with lung cancer (LC). The analysis included patients with LC and concomitant type 2 diabetes. 15,929 patients were classified into five groups: metformin users, insulin users, metformin and insulin users, sulphonylurea users and non-diabetic group. A multivariate analysis showed that exposure to either metformin or to insulin was associated with a lower risk of LC-specific mortality, and this approached statistical significance (HR 0.82, 95% CI 0.72–92 for metformin and HR 0.65, 95% CI 0.44–95 for insulin). When deaths from all causes were considered, only metformin exposure was associated with a significantly lower risk of death (HR 0.82, 95% CI 0.73–0.92). Users of sulphonylurea were at a higher risk of LC-specific and overall mortality (HRs 1.19, 95% CI 0.99–1.43 and 1.22, 95% CI 1.03–1.45). Our study shows a positive effect of metformin on the survival of patients with LC. Moreover, our results show that exposure to insulin was associated with a lower risk of LC-specific mortality, but not with deaths from all causes. The study results suggested that users of sulphonylurea may be at a higher risk of LC-specific and overall mortality.
Collapse
|
17
|
Shimada Y, Kudo Y, Furumoto H, Imai K, Maehara S, Tanaka T, Shigefuku S, Hagiwara M, Masuno R, Yamada T, Kakihana M, Kajiwara N, Ohira T, Ikeda N. Computed Tomography Histogram Approach to Predict Lymph Node Metastasis in Patients With Clinical Stage IA Lung Cancer. Ann Thorac Surg 2019; 108:1021-1028. [PMID: 31207242 DOI: 10.1016/j.athoracsur.2019.04.082] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 04/03/2019] [Accepted: 04/22/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Quantitative computed tomography (CT) histogram analysis of tumors is reported to help distinguish between invasive and less invasive lung cancers. This study aimed to clarify whether CT histogram analysis of tumors can be used to classify patients with clinical stage 0 to IA non-small cell lung cancer according to pathologic lymph node (pN) status. METHODS Predictive factors associated with pN metastasis were identified from the derivation dataset including 629 patients with clinical stage 0 to IA non-small cell lung cancer who underwent complete resection with lymph node dissection (surgeries between 2008 and 2013). The validation dataset including 238 patients (surgeries between 2014 and 2015) were subsequently reevaluated. Clinicosurgical factors, including CT histogram analysis of tumors (CT value percentiles 2.5, 25, 50, 75, and 97.5, skewness, and kurtosis) were assessed. RESULTS Seventy-three patients (12%) in the derivation cohort and 35 patients (15%) in the validation cohort had positive nodes. The pN status significantly affected survival in the entire population: 5-year overall survival of 93.1% vs 71.1% and 5-year disease-free survival of 85.9% vs 43.1% for negative vs positive (both P < .001). On multivariate analysis in the derivation cohort, the 75th percentile CT value (P < .001), age (P = .003), and comorbidities (P = .006) were significantly associated with pN metastasis. The area under the curve and the cutoff level of the 75th percentile CT value relevant to pN metastasis were 0.729 and 1.5 HU, respectively, and the threshold value provided accuracy of 71% for the validation cohort. CONCLUSIONS Histogram analysis of CT imaging metrics of tumors contributes to noninvasive prediction of pN metastasis in patients with clinical stage 0 to IA non-small cell lung cancer.
Collapse
Affiliation(s)
| | - Yujin Kudo
- Department of Surgery, Tokyo Medical University, Tokyo, Japan
| | | | - Kentaro Imai
- Department of Surgery, Tokyo Medical University, Tokyo, Japan
| | - Sachio Maehara
- Department of Surgery, Tokyo Medical University, Tokyo, Japan
| | - Takehiko Tanaka
- Department of Surgery, Tokyo Medical University, Tokyo, Japan
| | | | - Masaru Hagiwara
- Department of Surgery, Tokyo Medical University, Tokyo, Japan
| | - Ryuhei Masuno
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Takafumi Yamada
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | | | | | - Tatsuo Ohira
- Department of Surgery, Tokyo Medical University, Tokyo, Japan
| | - Norihiko Ikeda
- Department of Surgery, Tokyo Medical University, Tokyo, Japan
| |
Collapse
|
18
|
Sandfeld-Paulsen B, Meldgaard P, Sorensen BS, Safwat A, Aggerholm-Pedersen N. The prognostic role of inflammation-scores on overall survival in lung cancer patients. Acta Oncol 2019; 58:371-376. [PMID: 30632850 DOI: 10.1080/0284186x.2018.1546057] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Inflammation has been validated as a host-related prognostic marker in cancer. The Glasgow Prognostic score (GPS) and neutrophil-to-lymphocyte ratio (NLR) are suggested measures of inflammation. However, the allocation of patients has been questioned. Hence, optimized inflammation-scores has been developed, such as the combined NLR and GPS (CNG) system, and the Aarhus composite biomarker score (ACBS). So far, these optimized inflammation-scores have not been validated in lung cancer patients. We evaluated if the optimized inflammation-scores were prognostic markers of inferior survival in lung cancer patients. Furthermore, we tested which of the optimized inflammation-scores led to better patient-allocation. MATERIAL AND METHODS The cohort of this prospective study composed of 275 non-small cell lung cancer patients. We evaluated pre-diagnostic serum biomarkers for GPR, NLR, platelet-to-lymphocyte ratio as well as the optimized inflammation-scores CNG and ABCS as predictors of overall survival (OS), and we examined the patient-allocation derived from each inflammation-score. RESULTS Each of the evaluated inflammation-scores could predict the overall survival even when adjustments were made for comorbidity and clinicopathological characteristics. When comparing the scores, the optimized inflammation-scores CNG and ACBS led to a better and more balanced patient-allocation. In the early clinical stages I & II, the optimized scores could reveal a subgroup of patients with poorer survival that is similar to stage III. CONCLUSION In this cohort of lung cancer patients, we demonstrate that inflammation-scores are prognostic markers of inferior survival. Furthermore, we demonstrate that the optimized inflammation-scores CNG and ACBS lead to better patient-allocation independently of the clinicopathological characteristics and comorbidity.
Collapse
Affiliation(s)
| | - Peter Meldgaard
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Boe S. Sorensen
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Akmal Safwat
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Ninna Aggerholm-Pedersen
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| |
Collapse
|
19
|
DeWees TA, Nikitas J, Rehman S, Bradley JD, Robinson CG, Roach MC. Defining Optimal Comorbidity Measures for Patients With Early-Stage Non-small cell lung cancer Treated With Stereotactic Body Radiation Therapy. Pract Radiat Oncol 2018; 9:e83-e89. [PMID: 30244094 DOI: 10.1016/j.prro.2018.09.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 08/21/2018] [Accepted: 09/11/2018] [Indexed: 12/11/2022]
Abstract
PURPOSE Comparison of overall survival (OS) between stereotactic body radiation therapy (SBRT) and other treatments for early-stage non-small cell lung cancer is confounded by differences in age, performance status, and medical comorbidity. We sought to define the most robust measurement for this population among 5 indices: age, Eastern Cooperative Oncology Group performance status, Adult Comorbidity Evaluation 27, Charlson Comorbidity Index (CCI), and age-adjusted CCI (CCIa). METHODS AND MATERIALS A total of 548 patients with stage I non-small cell lung cancer treated with SBRT were analyzed. Patients were divided into high- and low-risk groups for OS for each index using the log-rank test. Continuous and dichotomized models were compared via Akaike information criterion and the Vuong test. Multivariate Cox regression modeling was used with demographic information to determine the independent prognostic value of the continuous and dichotomized versions of the indices. The best was used to stratify the patients into as many significantly different cohorts as possible. RESULTS Optimal cut-points between high-risk and low-risk OS groups for age, Eastern Cooperative Oncology Group status, Adult Comorbidity Evaluation 27, CCI, and CCIa were ≥75 years, ≥1, ≥3, ≥3, and ≥6 with hazard ratios for death of 1.23 (95% confidence interval, 1.00-1.50), 1.66 (1.28-2.15), 1.37 (1.12-1.67), 1.43 (1.17-1.76), and 1.47 (1.20-1.80), respectively. Dichotomizing did not result in a significant loss of prognostic power. Although there was no significant difference in prognostic power among the indices, CCIa best predicted OS. CCIa divided the patients into 3 cohorts with median OS of 42 months, 33 months, and 23 months for scores of ≤5, 6 to 7, and ≥8, respectively. CONCLUSIONS CCIa was the best indicator of OS in every model employed with no loss of prognostic power with dichotomization. Dichotomization of CCIa (≥6) could be implemented in future comparisons of SBRT with OS. No cohort could be identified with a median survival of less than a year, for which treatment could be deemed futile.
Collapse
Affiliation(s)
- Todd A DeWees
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona
| | - John Nikitas
- Department of Radiation Oncology, Washington University in St Louis School of Medicine, St Louis, Missouri
| | - Sana Rehman
- Department of Radiation Oncology, Summa Akron City Hospital, Akron, Ohio
| | - Jeffrey D Bradley
- Department of Radiation Oncology, Washington University in St Louis School of Medicine, St Louis, Missouri
| | - Cliff G Robinson
- Department of Radiation Oncology, Washington University in St Louis School of Medicine, St Louis, Missouri
| | - Michael C Roach
- Department of Radiation Oncology, Washington University in St Louis School of Medicine, St Louis, Missouri.
| |
Collapse
|
20
|
Sandfeld-Paulsen B, Aggerholm-Pedersen N. Response to Safri: “Comments on Comorbidity in Lung Cancer: A Prospective Cohort Study of Self-Reported versus Register-Based Comorbidity”. J Thorac Oncol 2018; 13:e61-e62. [DOI: 10.1016/j.jtho.2018.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 01/12/2018] [Indexed: 11/16/2022]
|
21
|
Safiri S. Comments on Comorbidity in Lung Cancer: A Prospective Cohort Study of Self-Reported versus Register-Based Comorbidity. J Thorac Oncol 2018; 13:e61. [PMID: 29576298 DOI: 10.1016/j.jtho.2018.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 01/05/2018] [Indexed: 10/17/2022]
Affiliation(s)
- Saeid Safiri
- Managerial Epidemiology Research Center, Department of Public Health, School of Nursing and Midwifery, Maragheh University of Medical Sciences, Maragheh, Islamic Republic of Iran; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
| |
Collapse
|