Malignant pleural effusion survival prognostication in an Asian population.


Journal

Respirology (Carlton, Vic.)
ISSN: 1440-1843
Titre abrégé: Respirology
Pays: Australia
ID NLM: 9616368

Informations de publication

Date de publication:
12 2020
Historique:
received: 25 08 2019
revised: 10 02 2020
accepted: 07 04 2020
pubmed: 12 5 2020
medline: 29 6 2021
entrez: 12 5 2020
Statut: ppublish

Résumé

LENT and PROMISE scores prognosticate survival in patients with MPE. Prognostication guides the selection of interventions and management. However, the predictive value of these scores and their refinements (modified-LENT) in Asians remain unclear. We aim to evaluate the performance of LENT, modified-LENT and clinical PROMISE scores; identify predictors of survival; and develop an alternative prognostication tool should current scores lack accuracy. Retrospective medical record review of an Asian pleuroscopy database from 2011 to 2018 of patients with MPE was conducted. The prognostic capability of current available scores were evaluated using C-statistics. Demographic and clinical variables as predictors of survival were assessed, and an alternative model was developed using logistic regression. In 130 patients, the C-statistics for modified-LENT was not significantly different from LENT (0.59 (95% CI: 0.52-0.67) vs 0.56 (95% CI: 0.49-0.63); P = 0.403). In 57 patients, the PROMISE C-statistics was 0.72 (95% CI: 0.53-0.91). In our alternative prognostication model (n = 147), Sex, Eastern Cooperative Oncology Group status, Leukocyte count, EGFR mutation, Chemotherapy and primary Tumour type (SELECT) were predictors of 90-day mortality (C-statistic = 0.87 (95% CI: 0.79-0.95)). SELECT sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios using a predicted probability of 90-day mortality cut-off point of 10% were 0.91, 0.68, 0.34, 0.98, 2.83 and 0.13, respectively. The LENT, modified-LENT and PROMISE scores have poor accuracy of survival prognostication in Asian patients with MPE undergoing pleuroscopy. The proposed SELECT prognostication model is accurate at identifying patients with high probability of survival at 90 days.

Sections du résumé

BACKGROUND AND OBJECTIVE
LENT and PROMISE scores prognosticate survival in patients with MPE. Prognostication guides the selection of interventions and management. However, the predictive value of these scores and their refinements (modified-LENT) in Asians remain unclear. We aim to evaluate the performance of LENT, modified-LENT and clinical PROMISE scores; identify predictors of survival; and develop an alternative prognostication tool should current scores lack accuracy.
METHODS
Retrospective medical record review of an Asian pleuroscopy database from 2011 to 2018 of patients with MPE was conducted. The prognostic capability of current available scores were evaluated using C-statistics. Demographic and clinical variables as predictors of survival were assessed, and an alternative model was developed using logistic regression.
RESULTS
In 130 patients, the C-statistics for modified-LENT was not significantly different from LENT (0.59 (95% CI: 0.52-0.67) vs 0.56 (95% CI: 0.49-0.63); P = 0.403). In 57 patients, the PROMISE C-statistics was 0.72 (95% CI: 0.53-0.91). In our alternative prognostication model (n = 147), Sex, Eastern Cooperative Oncology Group status, Leukocyte count, EGFR mutation, Chemotherapy and primary Tumour type (SELECT) were predictors of 90-day mortality (C-statistic = 0.87 (95% CI: 0.79-0.95)). SELECT sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios using a predicted probability of 90-day mortality cut-off point of 10% were 0.91, 0.68, 0.34, 0.98, 2.83 and 0.13, respectively.
CONCLUSION
The LENT, modified-LENT and PROMISE scores have poor accuracy of survival prognostication in Asian patients with MPE undergoing pleuroscopy. The proposed SELECT prognostication model is accurate at identifying patients with high probability of survival at 90 days.

Identifiants

pubmed: 32390227
doi: 10.1111/resp.13837
doi:

Banques de données

ClinicalTrials.gov
['NCT01374542']

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1283-1291

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2020 Asian Pacific Society of Respirology.

Références

Chernow B, Sahn SA. Carcinomatous involvement of the pleura: an analysis of 96 patients. Am. J. Med. 1977; 63: 695-702.
Roberts ME, Neville E, Berrisford RG, Antunes G, Ali NJ; BTS Pleural Disease Guideline Group. Management of a malignant pleural effusion: British Thoracic Society Pleural Disease Guideline 2010. Thorax 2010; 65(Suppl. 2): ii32-40.
Feller-Kopman DJ, Reddy CB, DeCamp MM, Diekemper RL, Gould MK, Henry T, Iyer NP, YCG L, Lewis SZ, Maskell NA et al. Management of malignant pleural effusions. An official ATS/STS/STR clinical practice guideline. Am. J. Respir. Crit. Care Med. 2018; 198: 839-49.
Bhatnagar R, Keenan EK, Morley AJ, Kahan BC, Stanton AE, Haris M, Haris M, Harrison RN, Mustafa RA, Bishop LJ et al. Outpatient talc administration by indwelling pleural catheter for malignant effusion. N. Engl. J. Med. 2018; 378: 1313-22.
Davies HE, Mishra EK, Kahan BC, Wrightson JM, Stanton AE, Guhan A, Davies CWH, Grayez J, Harrison R, Prasad A et al. Effect of an indwelling pleural catheter vs chest tube and talc pleurodesis for relieving dyspnea in patients with malignant pleural effusion: the TIME2 randomized controlled trial. JAMA 2012; 307: 2383-9.
Dresler CM, Olak J, Herndon JE, Richards WG, Scalzetti E, Fleishman SB, Kernstine KH, Demmy T, Jablons DM, Kohman L et al. Phase III intergroup study of talc poudrage vs talc slurry sclerosis for malignant pleural effusion. Chest 2005; 127: 909-15.
Clive AO, Kahan BC, Hooper CE, Bhatnagar R, Morley AJ, Zahan-Evans N, Bintcliffe OJ, Boshuizen RC, Fysh ETH, Tobin CL et al. Predicting survival in malignant pleural effusion: development and validation of the LENT prognostic score. Thorax 2014; 69: 1098-104.
Psallidas I, Kanellakis NI, Gerry S, Thézénas ML, Charles PD, Samsonova A, Schiller HB, Fischer R, Asciak R, Hallifax RJ et al. Development and validation of response markers to predict survival and pleurodesis success in patients with malignant pleural effusion (PROMISE): a multicohort analysis. Lancet Oncol. 2018; 19: 930-9.
Clive AO, Bhatnagar R, Psallidas I, Maskell NA. Individualised management of malignant pleural effusion. Lancet Respir. Med. 2015; 3: 505-6.
Abisheganaden J, Verma A, Dagaonkar RS, Light RW. An observational study evaluating the performance of LENT score in the selected population of malignant pleural effusion from lung adenocarcinoma in Singapore. Respiration 2018; 26: 1-6.
Takahashi T, Naito D, Wakatsuki Y, Yamamoto Y, Hamakawa Y, Shima K, Chihara Y, Takahashi K, Katakura H, Sakai N. Validation of the LENT score in Japanese sample: the impact of EGFR-TKI. Eur. Respir. J. 2015; 46(Suppl. 59): PA4328.
Balata H, Anwar N, Foden P, Al-Aloul M, Holme J, Evison M. P185 evaluation of the LENT prognostic score in a large tertiary pleural service. Thorax 2015; 70(Suppl. 3): A169.
Kato T, Hirose T, Matsui H, Masuda K, Tamura A, Funabiki A, Nakamura S, Mori A, Akashi S, Shimada M et al. Evaluation of the LENT score as a prognostic predictor of non-small cell lung cancer with malignant pleural effusion. C72 Predictive and Prognostic Markers in Thoracic Oncology [Internet]. American Thoracic Society, 2015; A5098 (American Thoracic Society International Conference Abstracts). New York, NY. [Accessed 2 Apr 2019.] Available from URL: https://www.atsjournals.org/doi/abs/10.1164/ajrccm-conference.2015.191.1_MeetingAbstracts.A5098.
Psallidas I, Kannelakis N, Yousuf A, Corcoran J, Hallifax R, Wrightson J, Mercer R, Talwar A, Rahman N. Lent score validation on patients with malignant pleural effusion. Eur. Respir. J. 2016; 48(Suppl. 60): PA3385.
Jeba J, Cherian RM, Thangakunam B, George R, Visalakshi J. Prognostic factors of malignant pleural effusion among palliative care outpatients: a retrospective study. Indian J. Palliat. Care 2018; 24: 184-8.
Asa'Ari AKAAM, Khan SL, Haris M, Irshad S, Crowley L, Rajgor A, Bikmalla S, Iqbal M, Ganaie M, Maddekar N. LENT prognostic score for malignant pleural effusions: how does our cohort compare? Lung Cancer 2018; 115: S51.
Chan JN, Villalon J. Prognostic utility of the L.E.N.T. score in predicting survival among patients with malignant pleural effusion admitted at the Chinese General Hospital and Medical Center. Respirology 2017; 22(Suppl. 3): 191-2.
Petborom P, Vassara M, Muangnoi P. The survival prediction of malignant pleural effusion and the validation of LENT prognosis score in Thai patients. Eur. Respir. J. 2017; 50(Suppl. 61): PA4311.
Bibby AC, Dorn P, Psallidas I, Porcel JM, Janssen J, Froudarakis M, Subotic D, Astoul P, Licht P, Schmid R et al. ERS/EACTS statement on the management of malignant pleural effusions. Eur. Respir. J. 2018; 52(1): 1800349.
Midha A, Dearden S, McCormack R. EGFR mutation incidence in non-small-cell lung cancer of adenocarcinoma histology: a systematic review and global map by ethnicity (mutMapII). Am. J. Cancer Res. 2015; 5: 2892-911.
Froudarakis ME. Pleural effusion in lung cancer: more questions than answers. Respiration 2012; 83: 367-76.
Hallifax RJ, Talwar A, Wrightson JM, Edey A, Gleeson FV. State-of-the-art: radiological investigation of pleural disease. Respir. Med. 2017; 124: 88-99.
Proctor MJ, Morrison DS, Talwar D, Balmer SM, O'Reilly DSJ, Foulis AK, Horgan PG, McMillan DC. An inflammation-based prognostic score (mGPS) predicts cancer survival independent of tumour site: a Glasgow Inflammation Outcome Study. Br. J. Cancer 2011; 104: 726-34.
Lim JU, Yeo CD, Kang HS, Park CK, Kim JS, Kim JW, Kim SJ, Lee SH. Prognostic value of platelet count and lymphocyte to monocyte ratio combination in stage IV non-small cell lung cancer with malignant pleural effusion. PLoS One 2018; 13: e0200341.
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: 373-83.
Hosmer DW, Lemeshow S. Assessing the fit of the model. In: Applied Logistic Regression [Internet]. Shewhart WA, Wilks SS, John Wiley & Sons, Ltd, USA 2005; 143-202. [Accessed 29 Apr 2019.] Available from URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/0471722146.ch5.
Ozyurtkan MO, Balci AE, Cakmak M. Predictors of mortality within three months in the patients with malignant pleural effusion. Eur. J. Intern. Med. 2010; 21: 30-4.
Burrows CM, Mathews WC, Colt HG. Predicting survival in patients with recurrent symptomatic malignant pleural effusions: an assessment of the prognostic values of physiologic, morphologic, and quality of life measures of extent of disease. Chest 2000; 117: 73-8.
Ashley DJ. A male-female differential in tumour incidence. Br. J. Cancer 1969; 23: 21-5.
Pearce MS, Parker L. Childhood cancer registrations in the developing world: still more boys than girls. Int. J. Cancer 2001; 91: 402-6.
Cartwright RA, Gurney KA, Moorman AV. Sex ratios and the risks of haematological malignancies. Br. J. Haematol. 2002; 118: 1071-7.
Cook MB, Dawsey SM, Freedman ND, Inskip PD, Wichner SM, Quraishi SM, Devesa SS, McGlynn KA. Sex disparities in cancer incidence by period and age. Cancer Epidemiol. Biomarkers Prev. 2009; 18: 1174-82.
Edgren G, Liang L, Adami H-O, Chang ET. Enigmatic sex disparities in cancer incidence. Eur. J. Epidemiol. 2012; 27: 187-96.
Molife R, Lorigan P, MacNeil S. Gender and survival in malignant tumours. Cancer Treat. Rev. 2001; 27: 201-9.
Cook MB, McGlynn KA, Devesa SS, Freedman ND, Anderson WF. Sex disparities in cancer mortality and survival. Cancer Epidemiol. Biomarkers Prev. 2011; 20: 1629-37.
Swann JB, Smyth MJ. Immune surveillance of tumors. J. Clin. Invest. 2007; 117: 1137-46.
Eyles J, Puaux A-L, Wang X, Toh B, Prakash C, Hong M, Tan TG, Zheng L, Ong LC, Jin Y et al. Tumor cells disseminate early, but immunosurveillance limits metastatic outgrowth, in a mouse model of melanoma. J. Clin. Invest. 2010; 120: 2030-9.
Cramer DW, Finn OJ. Epidemiologic perspective on immune-surveillance in cancer. Curr. Opin. Immunol. 2011; 23: 265-71.
Klein SL. Immune cells have sex and so should journal articles. Endocrinology 2012; 153: 2544-50.
Fish EN. The X-files in immunity: sex-based differences predispose immune responses. Nat. Rev. Immunol. 2008; 8: 737-44.
Libert C, Dejager L, Pinheiro I. The X chromosome in immune functions: when a chromosome makes the difference. Nat. Rev. Immunol. 2010; 10: 594-604.
Pinheiro I, Dejager L, Libert C. X-chromosome-located microRNAs in immunity: might they explain male/female differences? The X chromosome-genomic context may affect X-located miRNAs and downstream signaling, thereby contributing to the enhanced immune response of females. Bioessays 2011; 33: 791-802.
Bianchi I, Lleo A, Gershwin ME, Invernizzi P. The X chromosome and immune associated genes. J. Autoimmun. 2012; 38: J187-92.

Auteurs

Jonathan Caleb Quek (JC)

Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Duke-National University of Singapore Medical School, Singapore.

Qiao Li Tan (QL)

Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.

John Carson Allen (JC)

Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Duke-National University of Singapore Medical School, Singapore.

Devanand Anantham (D)

Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Duke-National University of Singapore Medical School, Singapore.
Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH