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Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis
OBJECTIVES: To identify subgroups of patients with lung cancer receiving chemotherapy based on the severity dimension of symptom experience, and to examine changes in membership between these subgroups over time. METHODS: Patients who were scheduled to receive chemotherapy completed the Chinese vers...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591394/ https://www.ncbi.nlm.nih.gov/pubmed/33163391 http://dx.doi.org/10.3389/fonc.2020.522407 |
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author | Li, Nannan Hou, Lili Li, Shu |
author_facet | Li, Nannan Hou, Lili Li, Shu |
author_sort | Li, Nannan |
collection | PubMed |
description | OBJECTIVES: To identify subgroups of patients with lung cancer receiving chemotherapy based on the severity dimension of symptom experience, and to examine changes in membership between these subgroups over time. METHODS: Patients who were scheduled to receive chemotherapy completed the Chinese version of the MD Anderson Symptom Inventory and the revised lung cancer module with a total of 19 symptom items. Data were collected at three time points: two weeks before chemotherapy (T1), after chemotherapy cycle 1 (T2), and after chemotherapy cycle 3 or above (T3). The latent profile analysis and latent transition analysis were used to identify underlying subgroups and describe changes in subgroup membership over time. RESULTS: From the total sample (N = 195), 160 patients completed the symptom assessment at T1, T2, and T3. Two distinct latent symptom profiles of patients could be identified at T1, T2, and T3, which were classified as “Mild” and “Moderate-Severe” profiles. From T1 to T2 and T3, members in the Mild profile were more likely to move to the Moderate-Severe profile. Chemotherapy protocols, prior surgery treatment, and level of education can predict the transitions. CONCLUSION: Results provide a better understanding of the patient’s different symptom experiences and characteristics. These could help clinicians to anticipate symptom patterns and develop interventions in lung cancer patients who were scheduled to receive chemotherapy for the first time. |
format | Online Article Text |
id | pubmed-7591394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75913942020-11-05 Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis Li, Nannan Hou, Lili Li, Shu Front Oncol Oncology OBJECTIVES: To identify subgroups of patients with lung cancer receiving chemotherapy based on the severity dimension of symptom experience, and to examine changes in membership between these subgroups over time. METHODS: Patients who were scheduled to receive chemotherapy completed the Chinese version of the MD Anderson Symptom Inventory and the revised lung cancer module with a total of 19 symptom items. Data were collected at three time points: two weeks before chemotherapy (T1), after chemotherapy cycle 1 (T2), and after chemotherapy cycle 3 or above (T3). The latent profile analysis and latent transition analysis were used to identify underlying subgroups and describe changes in subgroup membership over time. RESULTS: From the total sample (N = 195), 160 patients completed the symptom assessment at T1, T2, and T3. Two distinct latent symptom profiles of patients could be identified at T1, T2, and T3, which were classified as “Mild” and “Moderate-Severe” profiles. From T1 to T2 and T3, members in the Mild profile were more likely to move to the Moderate-Severe profile. Chemotherapy protocols, prior surgery treatment, and level of education can predict the transitions. CONCLUSION: Results provide a better understanding of the patient’s different symptom experiences and characteristics. These could help clinicians to anticipate symptom patterns and develop interventions in lung cancer patients who were scheduled to receive chemotherapy for the first time. Frontiers Media S.A. 2020-10-14 /pmc/articles/PMC7591394/ /pubmed/33163391 http://dx.doi.org/10.3389/fonc.2020.522407 Text en Copyright © 2020 Li, Hou and Li. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Li, Nannan Hou, Lili Li, Shu Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis |
title | Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis |
title_full | Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis |
title_fullStr | Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis |
title_full_unstemmed | Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis |
title_short | Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis |
title_sort | distinct subgroups of patients with lung cancer receiving chemotherapy: a latent transition analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591394/ https://www.ncbi.nlm.nih.gov/pubmed/33163391 http://dx.doi.org/10.3389/fonc.2020.522407 |
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