A New Perspective on the Evaluation of Comorbidity Indices on Survival in Non-Small Cell Lung Cancer

IF 0.3 Q4 MEDICINE, RESEARCH & EXPERIMENTAL Clinical and Experimental Health Sciences Pub Date : 2023-09-26 DOI:10.33808/clinexphealthsci.1345763
Alev BAKIR KAYI, Benan MÜSELLİM
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 Methods: Retrospective cohort, data were collected from cases with Non-Small Cell Lung Cancer treated in Department of Chest Diseases. Initially, the effects of their comorbid diseases on the duration of survival were calculated with univariate analysis, then examined according to number of comorbidities, lastly their specific combinations' Hazar Ratio were calculated with Cox multivariate analysis. The most used comorbid indices in the literature were also included.
 Results: Out of 247 non-small cell lung cancer (NSCLC) cases analysis, 220 (89%) were men. Median duration of follow-up was 277 days, at the end of the follow-up 197 cases had died. HR of two comorbid diseases in cases was 1.80, but 59.52 for the combination of “diabetes and interstitial lung disease” and 3.76 for “diabetes and previously cancer”. Existing comorbid indices had no significant effect on survival time (p:0.684; 0.101; 0.273; 0.567, respectively).
 Conclusion: We have offered a new perspective which takes into comorbid diseases related to main disease and specially their combinations when the risk is estimated in survival research. Accurate assessments of the list of comorbid diseases related to main disease hold significant importance in advancing this field.","PeriodicalId":10192,"journal":{"name":"Clinical and Experimental Health Sciences","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Experimental Health Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33808/clinexphealthsci.1345763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
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Abstract

Objective: Mortality studies are interpreted by considering comorbid diseases related to the main disease. Existence, number, and type of comorbid diseases can have an important effect on prognosis. There are various comorbidity indices to include the effects of comorbid diseases in the model. With a new perspective, we aimed to emphasize the importance of evaluating the combination of comorbid diseases in cancer survival. Methods: Retrospective cohort, data were collected from cases with Non-Small Cell Lung Cancer treated in Department of Chest Diseases. Initially, the effects of their comorbid diseases on the duration of survival were calculated with univariate analysis, then examined according to number of comorbidities, lastly their specific combinations' Hazar Ratio were calculated with Cox multivariate analysis. The most used comorbid indices in the literature were also included. Results: Out of 247 non-small cell lung cancer (NSCLC) cases analysis, 220 (89%) were men. Median duration of follow-up was 277 days, at the end of the follow-up 197 cases had died. HR of two comorbid diseases in cases was 1.80, but 59.52 for the combination of “diabetes and interstitial lung disease” and 3.76 for “diabetes and previously cancer”. Existing comorbid indices had no significant effect on survival time (p:0.684; 0.101; 0.273; 0.567, respectively). Conclusion: We have offered a new perspective which takes into comorbid diseases related to main disease and specially their combinations when the risk is estimated in survival research. Accurate assessments of the list of comorbid diseases related to main disease hold significant importance in advancing this field.
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非小细胞肺癌共病指标评价的新视角
目的:通过考虑与主要疾病相关的合并症来解释死亡率研究。合并症的存在、数量和类型对预后有重要影响。在模型中有各种共病指数来包括共病疾病的影响。从一个新的角度,我们旨在强调评估合并症在癌症生存中的重要性。 方法:回顾性分析胸科收治的非小细胞肺癌患者资料。首先用单因素分析计算其合并症对生存时间的影响,然后根据合并症的数量进行检查,最后用Cox多因素分析计算其特定组合的危险比。文献中最常用的合并症指标也包括在内。 结果:在247例非小细胞肺癌(NSCLC)病例中,220例(89%)为男性。中位随访时间为277天,随访结束时死亡197例。两种疾病合并症的HR为1.80,“糖尿病合并间质性肺疾病”的HR为59.52,“糖尿病合并既往癌症”的HR为3.76。现有合并症指标对生存时间无显著影响(p:0.684;0.101;0.273;分别为0.567)强生# x0D;结论:在生存研究中评估风险时,考虑与主要疾病相关的合并症,特别是它们的联合,提供了一个新的视角。准确评估与主要疾病相关的共病清单对推进这一领域具有重要意义。
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Clinical and Experimental Health Sciences
Clinical and Experimental Health Sciences MEDICINE, RESEARCH & EXPERIMENTAL-
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