ABSTRACT
PURPOSE: To evaluate arterial stiffness, a predictor of vascular damage was assessed by means of pulse wave velocity (PWV) in patients with chronic obstructive pulmonary disease (COPD) and comorbid obstructive sleep apnea (OSA), namely overlap syndrome (OS). METHODS: Consecutive stable patients with COPD were evaluated for OSA by means of overnight polysomnography in the laboratory. A clinical assessment was performed according to a strict protocol, including two COPD questionnaires: the COPD assessment test and the modified Medical Research Council scale. COPD severity was graded according to the guidelines of the Global Initiative for Chronic Obstructive Lung Disease. Arterial stiffness was assessed by means of PWV, using a standard technique. RESULTS: Of 102 patients with COPD, 51 had associated OSA. The OS group had more men than the COPD group (73% vs. 47%, respectively; p < 0.01). Both groups had similar ages (66.2 ± 9.2 years vs. 69.6 ± 10.7, p = 0.09) and airflow limitation (p = 0.37). Hypertension was found in 22% of COPD patients, as opposed to 17% patients in the OS group (p = 0.29). High PWV values were present in 42% of the patients. Patients with COPD and OS had the same PWV values (9.8 vs. 10.5 m/s, p = 0.34). There were no differences in central blood pressure, peripheral blood pressure, and augmentation index between the two groups (p > 0.05). CONCLUSION: High PWV values were frequently observed in patients with COPD. However, there was no difference in PWV between patients with OS and those with COPD alone.
Subject(s)
Hypertension , Pulmonary Disease, Chronic Obstructive , Sleep Apnea, Obstructive , Vascular Stiffness , Male , Humans , Vascular Stiffness/physiology , Pulse Wave Analysis , Pulmonary Disease, Chronic Obstructive/diagnosis , Pulmonary Disease, Chronic Obstructive/epidemiology , Pulmonary Disease, Chronic Obstructive/complications , Sleep Apnea, Obstructive/complications , Sleep Apnea, Obstructive/diagnosis , Sleep Apnea, Obstructive/epidemiology , SyndromeABSTRACT
OBJECTIVE: To evaluate clinical predictors of poor sleep quality in COPD patients with and without obstructive sleep apnea (OSA). METHODS: Consecutive stable patients with COPD were evaluated for OSA by means of overnight polysomnography; for sleep quality by means of the Pittsburgh Sleep Quality Index (PSQI); and for disease impact by means of the COPD Assessment Test. COPD severity was graded in accordance with the 2020 GOLD guidelines. Predictors of poor sleep quality were evaluated by multivariate logistic regression analysis. RESULTS: We studied 51 patients with COPD alone and 51 patients with COPD and OSA. Both groups had similar age (66.2 ± 9.2 years vs. 69.6 ± 10.7, p = 0.09) and airflow limitation (p = 0.37). Poor sleep quality was present in 74.8% of the study participants, with no significant difference between COPD patients with and without OSA regarding PSQI scores (p = 0.73). Polysomnography showed increased stage 1 non-rapid eye movement sleep and arousal index, as well as reduced sleep efficiency and stage 3 non-rapid eye movement sleep, in the group of patients with COPD and OSA (p < 0.05). Independent predictors of poor sleep quality were GOLD grade C/D COPD (OR = 6.4; 95% CI, 1.79-23.3; p < 0.01), a COPD Assessment Test score ≥ 10 (OR = 12.3; 95% CI, 4.1-36.5; p < 0.01), and lowest SaO2 < 80% (p < 0.0001). CONCLUSIONS: Poor sleep quality is quite common in patients with COPD and is associated with severe COPD and poor health status, having a negative impact on overall quality of life. Despite changes in polysomnography, OSA appears to have no impact on subjective sleep quality in COPD patients.
Subject(s)
Pulmonary Disease, Chronic Obstructive , Sleep Apnea, Obstructive , Aged , Humans , Middle Aged , Pulmonary Disease, Chronic Obstructive/complications , Quality of Life , Severity of Illness Index , Sleep Apnea, Obstructive/complications , Sleep QualityABSTRACT
To evaluate clinical predictors of poor sleep quality in COPD patients with and without obstructive sleep apnea (OSA). Methods: Consecutive stable patients with COPD were evaluated for OSA by means of overnight polysomnography; for sleep quality by means of the Pittsburgh Sleep Quality Index (PSQI); and for disease impact by means of the COPD Assessment Test. COPD severity was graded in accordance with the 2020 GOLD guidelines. Predictors of poor sleep quality were evaluated by multivariate logistic regression analysis. Results: We studied 51 patients with COPD alone and 51 patients with COPD and OSA. Both groups had similar age (66.2 ± 9.2 years vs. 69.6 ± 10.7, p = 0.09) and airflow limitation (p = 0.37). Poor sleep quality was present in 74.8% of the study participants, with no significant difference between COPD patients with and without OSA regarding PSQI scores (p = 0.73). Polysomnography showed increased stage 1 non-rapid eye movement sleep and arousal index, as well as reduced sleep efficiency and stage 3 non-rapid eye movement sleep, in the group of patients with COPD and OSA (p < 0.05). Independent predictors of poor sleep quality were GOLD grade C/D COPD (OR = 6.4; 95% CI, 1.79-23.3; p < 0.01), a COPD Assessment Test score ≥ 10 (OR = 12.3; 95% CI, 4.1-36.5; p < 0.01), and lowest SaO2 < 80% (p < 0.0001). Conclusions: Poor sleep quality is quite common in patients with COPD and is associated with severe COPD and poor health status, having a negative impact on overall quality of life. Despite changes in polysomnography, OSA appears to have no impact on subjective sleep quality in COPD patients.
Avaliar os preditores clínicos de má qualidade do sono em pacientes com DPOC, com e sem apneia obstrutiva do sono (AOS). Métodos: Pacientes estáveis consecutivos com DPOC foram avaliados quanto à AOS por meio de polissonografia noturna; quanto à qualidade do sono por meio do Índice de Qualidade do Sono de Pittsburgh (IQSP) e quanto ao impacto da doença por meio do Teste de Avaliação da DPOC. A gravidade da DPOC foi classificada conforme as diretrizes de 2020 da GOLD. Os preditores de má qualidade do sono foram avaliados por meio de análise de regressão logística multivariada. Resultados: Foram estudados 51 pacientes com DPOC apenas e 51 pacientes com DPOC e AOS. Ambos os grupos eram semelhantes quanto à idade (66,2 ± 9,2 anos vs. 69,6 ± 10,7, p = 0,09) e limitação do fluxo aéreo (p = 0,37). Sono de má qualidade esteve presente em 74,8% dos participantes, sem diferença significativa entre os pacientes com DPOC, com e sem AOS, quanto à pontuação no IQSP (p = 0,73). A polissonografia mostrou aumento do estágio 1 do sono non-rapid eye movement e do índice de despertares, bem como redução da eficiência do sono e do estágio 3 do sono non-rapid eye movement nos pacientes com DPOC e AOS (p < 0,05). Os preditores independentes de má qualidade do sono foram DPOC grau C/D da GOLD (OR = 6,4; IC95%: 1,79-23,3; p < 0,01), pontuação ≥ 10 no Teste de Avaliação da DPOC (OR = 12,3; IC95%: 4,1-36,5; p < 0,01) e menor SaO2 < 80% (p < 0,0001). Conclusões: O sono de má qualidade é bastante comum em pacientes com DPOC e apresenta relação com DPOC grave e estado de saúde ruim, além de ter impacto negativo na qualidade de vida global. Não obstante as alterações na polissonografia, a AOS aparentemente não tem impacto na qualidade do sono referida por pacientes com DPOC.