Tianjin Medical Journal ›› 2023, Vol. 51 ›› Issue (11): 1237-1241.doi: 10.11958/20230264

• Clinical Research • Previous Articles     Next Articles

Analysis of the clinical characteristics and influencing factors of fatigue symptoms in patients with interstitial lung disease

LUO Cheng(), ZHANG Ning, PENG Yanru, LI Shu, GUO Yali, WANG Yuguang()   

  1. Department of Respiratory Medicine, Beijing Traditional Chinese Medicine Hospital Affiliated to Capital Medical University, Beijing 100010, China
  • Received:2023-02-28 Revised:2023-03-27 Published:2023-11-15 Online:2023-11-07
  • Contact: E-mail:wygzhyiaids@126.com

Abstract:

Objective To explore the clinical characteristics and influencing factors of fatigue symptoms in patients with interstitial lung disease (ILD). Methods A total of 238 patients with ILD were selected. Gender, age, marital status, body mass index (BMI), occupation, education, smoking and alcohol consumption of patients were collected. The pulmonary function of patients was measured. The percentage of forced vital capacity in the predicted value (FVC%pred), the percentage of forced expiratory volume in the first second in the predicted value (FEV1%pred), the percentage of forced expiratory volume in the end of the first second in the predicted value (FEV1/FVCpred) and the percentage of diffusing capacity of the lungs for carbon monoxide in the predicted value (DLCO%pred) were detected. The fatigue rating scale (FAS) was used to evaluate the physical and mental fatigue of patients. The improved Medical Research Council Respiratory Questionnaire (mMRC) was used to assess the degree of dyspnea. Charlson comorbidity index was used to evaluate the severity of comorbidity. The hospital anxiety and depression scale (HADS) including HADS-A and HADS-D were used to score the anxiety and depression of patients. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality of patients. The differences of FAS scores and the correlation between FAS scores and clinical features were analyzed. Multiple linear stepwise regression analysis was used to explore the influencing factors of fatigue in ILD patients. Results The FAS score of 238 patients was (26.03 ± 9.53), of which 159 (66.81%) experienced fatigue and 60 (37.74%) experienced severe fatigue. The FAS scores of mMRC grade 0 and 1 ILD patients were lower than those of mMRC grade 2, 3 and 4 patients, and the FAS scores of mMRC grade 2 ILD patients were lower than those of mMRC grade 4 patients (P<0.01). There were no significant differences in FAS scores between patients with different course of disease, age, sex, marriage, work, education level, smoking, drinking, ILD type and Charlson complication index. FAS score was positively correlated with age, disease course, HADS-A, HADS-D and PSQI, and negatively correlated with DLCO% pred (P<0.05). Multiple linear stepwise regression analysis showed that HADS-D, mMRC, PSQI and disease course were influencing factors of FAS score (P<0.05). Conclusion The incidence of fatigue is high in ILD patients, and the long course of disease, dyspnea, depression and sleep disorders are important influencing factors of fatigue.

Key words: lung diseases, interstitial, fatigue, dyspnea, depression, sleep disorders, fatigue assessment scale

CLC Number: