Trastornos respiratorios del sueño en Insuficiencia Cardíaca con fracción de eyección reducida

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Introduction: Sleep-disordered breathing (SDB) are highly prevalent in patients with heart failure (HF). The presence of obstructive sleep apnea syndrome (OSA) determines a worse prognosis in these patients. There are questionnaires aimed at evaluating the probability of OSA, although none have been validated in patients with HF. The primary objective of this study was to establish the prevalence of SDB in a cohort of patients with HF and reduced ejection fraction (HFrEF) from the Multidisciplinary HF Unit (UMIC). As a secondary objective, to evaluate the usefulness of the Stop-Bang, Berlin, and 2ABN3M questionnaires for TRS screening in these patients. Methodology: Cross-sectional, observational study, including the active cohort of the UMIC, over 18 years with HFrEF, clinically stable and informed consent. Patients with cognitive, neurological or hearing impairment with limitations when conducting the interview were excluded. Patients with other limiting or uncontrolled sleep disorders, continuous home oxygen therapy requirements, did not enter the study. Berlin, Stop-Bang, and 2ABN3M questionnaires were administered, classifying the population into high-risk, intermediate-risk, and low-risk groups of presenting SDB. All patients underwent outpatient respiratory polygraphy (RP). Descriptive statistics were used to characterize demographic variables, measures of central tendency and dispersion. SPSS statistical software was used. Results: 387 patients were included, 248 men (64.1%), mean age was 63.5 ± 0.6 years. The etiology of HF was ischemic in 41.6% of patients. The body mass index was 29.3 ± 0.3 kg/m2. LVEF was 34.2 ± 0.5, pro-BNP 1233.8 ± 137.6 pg/ml. The results of the questionnaires showed that 52.1% (198) presented a high risk of SDB according to the Berlin questionnaire. With Stop-Bang, 35.9% (139) were high risk, 42.1% (163) intermediate risk, and the remaining 22% (85) low risk. With the 2ABN3M score, 62% (240) were high risk. A total of 156 respiratory polygraphs (40.3% of the population) were performed. The cut-off point to define the presence of sleep apnea was considered to be an AHI >15. 58.3% (91) of the patients presented TRS. Of these, 95% presented obstructive apnea and 5% central apnea with periodic Cheyne-Stokes breathing. A high percentage (26%) presented AHI greater than 30. The sensitivity of the Berlin and Stop-Bang questionnaires was 75.8% and 91.2%, respectively, with a specificity of 53.8% and 24.6%. Regarding the 2ABN3M score, a sensitivity of 71.4% and a specificity of 44.6% were observed. Conclusions: The prevalence of sleep-disordered breathing in patients with HFrEF was high in our cohort and obstructive apnea predominated. Given the high sensitivity (91.2%) of the Stop-Bang questionnaire found in our study, it could be useful as a screening tool for TRS in this type of patient. The importance of investigating this pathology whose clinical presentation can be non-specific and remain underdiagnosed is highlighted.

Introdução: Os distúrbios respiratórios do sono (DRS) são altamente prevalentes em pacientes com insuficiência cardíaca (IC). A presença da síndrome da apneia obstrutiva do sono (SAOS) determina pior prognóstico nesses pacientes. Existem questionários destinados a avaliar a probabilidade de AOS, porém nenhum foi validado em pacientes com IC. O objetivo primário deste estudo foi estabelecer a prevalência de DRS em uma coorte de pacientes com IC e fração de ejeção reduzida (ICFEr) da Unidade Multidisciplinar de IC (UMIC). Como objetivo secundário, avaliar a utilidade dos questionários Stop-Bang, Berlin e 2ABN3M para triagem de SRT nesses pacientes. Metodologia: Estudo transversal, observacional, inclui a coorte ativa da UMIC, maiores de 18 anos com ICFEr, clinicamente estável e consentimento informado. Foram excluídos pacientes com deficiência cognitiva, neurológica ou auditiva com limitações na realização da entrevista. Pacientes com outros distúrbios do sono limitantes ou descontrolados, requisitos de oxigenoterapia domiciliar contínua, não entraram no estudo. Os questionários Berlin, Stop-Bang e 2ABN3M foram aplicados, classificando a população em grupos de alto risco, risco intermediário e baixo risco de apresentar DRS. Todos os pacientes foram submetidos à poligrafia respiratória (PR) ambulatorial. A estatística descritiva foi utilizada para caracterizar as variáveis ​​demográficas, medidas de tendência central e dispersão. Foi utilizado o software estatístico SPSS. Resultados: foram incluídos 387 pacientes, 248 homens (64,1%), com idade média de 63,5 ± 0,6 anos. A etiologia da IC foi isquêmica em 41,6% dos pacientes. O índice de massa corporal foi de 29,3 ± 0,3 kg/m2. FEVE foi de 34,2 ± 0,5, pro-BNP 1233,8 ± 137,6 pg/ml. Os resultados dos questionários mostraram que 52,1% (198) apresentaram alto risco de DRS de acordo com o questionário de Berlim. Com Stop-Bang, 35,9% (139) eram de alto risco, 42,1% (163) de risco intermediário e os restantes 22% (85) de baixo risco. Com a pontuação 2ABN3M, 62% (240) eram de alto risco. Foram realizados 156 polígrafos respiratórios (40,3% da população). O ponto de corte para definir a presença de apneia do sono foi considerado um IAH >15. 58,3% (91) dos pacientes apresentaram SRT. Destes, 95% apresentavam apnéia obstrutiva e 5% apnéia central com respiração Cheyne-Stokes periódica. Uma alta porcentagem (26%) apresentou IAH maior que 30. A sensibilidade dos questionários Berlin e Stop-Bang foi de 75,8% e 91,2%, respectivamente, com especificidade de 53,8% e 24,6%. Em relação ao escore 2ABN3M, observou-se sensibilidade de 71,4% e especificidade de 44,6%. Conclusões: A prevalência de distúrbios respiratórios do sono em pacientes com ICFEr foi alta em nossa coorte, com predominância de apneias obstrutivas. Dada a alta sensibilidade (91,2%) do questionário Stop-Bang encontrado em nosso estudo, ele pode ser útil como uma ferramenta de triagem para ERT nesse tipo de paciente. Ressalta-se a importância da investigação dessa patologia cuja apresentação clínica pode ser inespecífica e permanecer subdiagnosticada.

Establishment and evaluation of a risk prediction model for severe obstructive sleep apnea / 西安交通大学学报(医学版)

【Objective】 To construct a prediction model of severe obstructive sleep apnea (OSA) risk in the general population by using nomogram in order to explore the independent risk factors of severe OSA and guide the early diagnosis and treatment. 【Methods】 We retrospectively enrolled patients who had been diagnosed by polysomnography and divided them into training and validation sets at the ratio of 7∶3. Patients were divided into severe OSA group and non-severe OSA group according to apnea hypopnea index (AHI)>30. Variables entering the model were identified by least absolute shrinkage and selection operator regression model (Lasso), and logistic regression (LR) method. Then, multivariable logistic regression analysis was used to establish the nomogram, and the area under the receiver operating characteristic curve (AUC) was used to evaluate the discriminative properties of the nomogram model. Finally, we conducted decision curve analysis (DCA) of nomogram model, STOP-Bang questionnaire and Berlin questionnaire to assess clinical utility. 【Results】 Through single factor and multiple factor logistic regression analyses, the independent risk factors for severe OSA were screened out, including moderate and severe sleepiness, family history of hypertension, history of smoking, drinking, snoring, history of suffocation, sedentary lifestyle, male, age, body mass index (BMI), waist and neck circumference. Lasso logistic regression identified smoke, suffocation time, snoring time, waistline, Epworth sleepiness scale (ESS) and BMI as predictive factors for inclusion in the nomogram. The AUC of the model was 0.795 [95% confidence interval (CI): 0.769-0.820] . Hosmer-Lemeshow test indicated that the model was well calibrated (χ2=3.942, P=0.862). The DCA results on the visual basis confirmed that the nomogram had superior overall net benefits within a wide, practical threshold probability range which displayed the nomogram was higher than that of STOP-Bang questionnaire and Berlin questionnaire, which is clinically useful. The Clinical Impact Curve (CIC) analysis showed the clinical effectiveness of the prediction model when the threshold probability was greater than 82% of the predicted score probability value. The prediction model determined that the high-risk population with severe OSA was highly matched with the actual population with severe OSA, which confirmed the high clinical effectiveness of the prediction model. 【Conclusion】 The model performed better than STOP-Bang questionnaire and Berlin questionnaire in predicting severe OSA and can be applied to screening. And it can be helpful to the early diagnosis and treatment of OSA in order to reduce social burden.

Evaluación de riesgo de apnea obstructiva del sueño y de la adherencia al tratamiento farmacológico en pacientes con hipertensión arterial / Risk assessment of obstructive sleep apnea and adherence to pharmacological treatment in patients with arterial hypertension

Introducción:existe una sospecha sobre la relación bidireccional entre la apnea obstructiva del sueño (AOS) y la hipertensión arterial (HTA). Ambas ejercen una acción sinérgica sobre desenlaces cardiovasculares porlo quees trascendente ponderar la prevalencia de riesgo para AOS en los hipertensos. En este último grupo también hemos investigado la tasa de adherencia a los fármacos prescritos. Metodología:mediante un estudio de casos y controles y con la aplicación del cuestionario STOP-BANG se han discriminado las categorías de riesgo para apnea de sueño en las dos cohortes. Para el análisis de la adherencia a fármacos antihipertensivos se utilizó el cuestionario abreviado de Morisky. Resultados:se incluyeron a 590 individuos (295 casos y 295 controles. Se observó alto riesgo para AOS en el grupo de hipertensos (36,6%) comparado con el 14,2% del grupo control. Por otro lado, el sexo masculino OR 7,77 (IC95% 4,33-13,84), la obesidad OR 5,03 (IC95% 3,11-8,13) y la HTA OR 4,31 (IC95% 2,64-7,03) se ponderan significativos en un modelo de ajuste logístico aquí estudiado. El 61,69% de los hipertensos refería adherencia al tratamiento farmacológico prescrito. Discusión:el tamizaje de AOS es factible con un cuestionario aplicable en la práctica clínica diaria. De la probabilidad clínica pre-test hay que partir hacia métodos diagnósticos específicos para el diagnóstico de AOS, enfatizando casos de HTA resistente, HTA nocturna y HTA enmascarada. Se deberían realizar estudios locales que nos ayuden a comprender las causas de la falta de adherencia a fármacos antihipertensivos en una fracción importante de los individuos con HTA

Introduction:there is a suspicion about the bidirectional relationship between obstructive sleep apnea (OSA) and arterial hypertension (AHT). Both have a synergistic action on cardiovascular outcomes, so it is important to assess the prevalence of risk for OSA in hypertensive patients. In this last group we have also investigated the rate of adherence to prescribed drugs.Metodology:through a case-control study and with the application of the STOP-BANG questionnaire, the risk categories for sleep apnea in the two cohorts have been discriminated. For the analysis of adherence to antihypertensive drugs, the abbreviated Morisky questionnaire was used. Results:590 individuals were included (295 cases and 295 controls. A high risk for OSA was observed in the hypertensive group (36.6%) compared to 14.2% in the control group. On the other hand, the male sex OR 7.77 (95%CI 4.33-13.84), obesity OR 5.03 (95%CI 3.11-8.13) and hypertensionOR4.31(95%CI 2.64-7.03) they areweighted significant in a logistic adjustment model studied here.61.69% of hypertensive patients reported adherence to the prescribed pharmacological treatment.Discussion:OSA screening is feasible with a questionnaire applicable in daily clinical practice. From the pre-test clinical probability, specific diagnostic methods for the diagnosis of OSA must be started, emphasizing cases of resistant AHT, nocturnal AHT, andmasked AHT. Local studies should be carried out to help us understand the causes of non-adherence to antihypertensive drugs in a significant fraction of individuals with AHT

Application of NoSAS score, STOP-BANG Questionnaire and Epworth sleepiness scale in evaluating obstructive sleep apnea risk in patients with respiratory disease / 国际生物医学工程杂志

Objective:To compare the value of NoSAS score, STOP-BANG questionnaire (SBQ) and Epworth Sleepiness Scale (ESS) in assessing the risk of obstructive sleep apnea hypopnea syndrome (OSAHS) in patients with respiratory disease (RD).Methods:The clinical data, NoSAS, SBQ and ESS scores of 190 patients who underwent overnight polysomnography (PSG) were collected. According to the receiver operating characteristic (ROC) curve, with different apnea-hypopnea index (AHI) as the judgment cutoff, the sensitivity, specificity, positive predictive value, negative predictive value, diagnostic odds ratio (DOR) and accuracy of the three scales were compared.Results:With AHI ≥5 times/h as the cutoff, the area under the ROC curve (AUC) of NoSAS and SBQ were 0.833 and 0.729, respectively, indicating that both have predictive value for mild OSAHS. Among them, NoSAS had a larger DOR value (16.150), indicating that NoSAS had the higher accuracy in assessing the risk of mild OSAHS. When AHI>15 times/h was used as the cutoff, the AUC value of NoSAS was 0.704, indicating that it has predictive value for moderate OSAHS. When AHI>30 times/h was used as the cutoff, the AUC value (0.706) and DOR value (6.527) of SBQ were high, indicating that it has predictive value and good accuracy for severe OSAHS. The SBQ is more sensitive than NoSAS and ESS when evaluating patients at high risk for OSAHS ( SBQ≥3). Conclusions:When evaluating the risk of mild and moderate OSAHS in RD patients, NoSAS is better than SBQ and ESS, and when evaluating severe OSAHS, SBQ is better than NoSAS and ESS. In clinical work, appropriate predictive tools should be selected according to the actual situation to assess the risk of OSAHS, so as to formulate and implement early intervention plans based on the assessment results.

Observational study to determine the pattern of distribution of stop - bang score in predicting OSA and its implication among female health care providers

Objective: To determine the pattern of distribution of STOP-Bang score in predicting OSA and its implication among female health care providers. Methods: In this study, we enrolled 100 female health care providers with age>20 years and excluded subjects on long term respiratory illness and with secondary cause of obesity. Detailed historyand clinical examination were done along withfilled STOP-Bang questionnaire. Results: We included 100 subjects, the mean age was 26.23 ± 1.74 years, mean BMI was 23.18+ 1.73. Our study results, Snoring, Tiredness and observed apnea were observed more than other parameters. In the study, the significance of snoring (8% with ‘p’ value 0.006), tiredness (52% with ‘p’ value 0.000) and observed apnea (17% with ‘p’ value 0.001) was statistically significant.The most common score on the STOP-Bang questionnaire was 1point (n = 42), followed by no points (n = 41). Subjects with low risk were 57; with high risk were 2 which were statistically significant. Conclusion: Snoring, tiredness and observed apnea play an important factor among females in STOP-Bang score which also was statistically significant.The STOP-Bang questionnaire performed adequately for OSA screening in female health care providersindicated that it could be used as an effective non-invasive screening tool for identifying subjects with high risk of OSA.

Escala de Epwoth y cuestionario de Stop Bang como predictores del síndrome de apneas hipopneas obstructivas del sueño / Epworth Sleepiness Scale and Stop Bang questionnaire as predictors for the obstructive sleep apnea syndrome / Escala de Epworth e questionário PARAR BANG como preditores de hipopnéias apneia obstrutiva do sono. Síndrome do sono

Introducción: El SAHOS (Síndrome de Apneas e Hipopneas Obstructivas del Sueño) surge de apneas e hipopneas que generan una hipoxia intermitente. La polisomnografía es el gold standard para su diagnóstico. La Escala de Somnolencia de Epworth (ESS) identifica pacientes con somnolencia diurna. El cuestionario Stop Bang reconoce pacientes con riesgo de SAHOS. El objetivo es describir la sensibilidad y especificidad de la ESS y Stop Bang para el diagnóstico de SAHOS realizado con polisomnografía. Métodos: 125 pacientes completaron la ESS, Stop Bang y realizaron una polisomnografía de noche completa. Se confeccionaron dos grupos: pacientes con IAH < 15, y pacientes con IAH ≥ 15. Se calcularon sensibilidad, especificidad, razón de probabilidades (OR) y curvas ROC para el diagnóstico de SAHOS de la ESS y el Stop Bang. Resultados: La prevalencia del grupo IAH ‹ 15 fue de 36%, y del grupo IAH ≥ 15 fue de 64%. Para la ESS, 71 pacientes presentaron somnolencia diurna, 49,3% con un IAH < 15 y 50,7% con un IAH ≥ 15. Especificidad 77,78%, sensibilidad 55%, área bajo la curva ROC 0,6553. Para el cuestionario Stop Bang, 110 pacientes presentaron alto riesgo para SAHOS, 30% con un IAH < 15 y 70% con IAH ≥ 15. Especificidad 26,67%, sensibilidad 96,25%, área bajo la curva ROC 0,7671. Se enfrentaron ambos cuestionarios y calcularon sus OR: ESS, OR=1,1014 (p=0,038); Stop Bang, OR=8,099 (p=0,002). Conclusiones: La sensibilidad de ESS es baja y su área bajo la curva ROC poco significativa. La gran sensibilidad del cuestionario Stop Bang junto con su área bajo la curva ROC, lo convierten en una herramienta de importancia para realizar screening de SAHOS.

Introduction: osa (obstructive sleep apnea) arises from apneas and hypopneas that cause intermittent hypoxia. Polysomnography is the gold standard for its diagnosis. The Epworth Sleepiness Scale (ESS) measures daytime sleepiness. The Stop Bang Questionnaire (SBQ) recognizes patients at risk of OSA. Objectives: describe the sensitivity and specificity of the ESS and SBQ for the diagnosis of OSA accomplished by polysomnography. Methods: 125 adult patients completed the ESS, SBQ and a full night polysomnography. Patients were grouped into two: those with AHI < 15 and those with AHI ≥ 15. Sensibility, specificity, odds ratio (OR) and ROC curves were determined for the ESS and SBQ. Results: The group with AHI ≥ 15 prevailed (64%). 71 patients (56.8%) showed an abnormal ESS´s score; 49.3% showed an AHI < 15 and 50.7% AHI ≥ 15. The specificity was 77.78% and sensitivity 55%. The area under the ROC curve was 0.6553. Regarding the SBQ, 110 patients were within the high risk group; 30% corresponded to an AHI < 15 and 70% AHI ≥ 15. The specificity was 26.67% and sensitivity 96.25%. The area under the ROC curve was 0.7671. The OR for the ESS was 1.1014 (p=0.038) and SBQ, OR = 8.099 (p=0.002). Conclusion: The sensitivity of the ESS is low and the area under the ROC curve insubstantial. The SBQ shows high sensitivity and a remarkable area under the ROC curve, which turn it into an important tool for screening OSA.

Introdução: sahos (síndrome da apneia e hipopneia obstrutiva do sono) surge de apnéias e hipopnéias que geram hipóxia intermitente. A polissonografia (PSG) é o gold standard para o diagnóstico. A Escala de Sonolência de Epworth (ESS) identifica pacientes com sonolência diurna. O questionário Stop bang reconhece pacientes em risco de doenca de SAHOS. O objetivo de este trabalho é descrever a sensibilidade e especificidade da ESS e do questionario Stop Bang para diagnóstico de SAHOS feito coma PSG. Métodos: 125 pacientes completaram a ess, o stop bang efisseram uma psg con oximetria de noite completa. Dividiram-se os pacientes em dois grupos: com IAH < 15 e 50,7% com um IAH ≥ 15. A especificidade foi de 77,78%, a sensibilidade de 55%, e a área abaixo da curva ROC 0,6553. Enquanto ao questionário stop bang, 110 pacientes apresentaram alto risco de SAHOS, 30% com um IAH < 15 e 70% com IAH ≥ 15. Especificidade de 26,67%, 96,25% de sensibilidade, e 0,7671 da área abaixo da curva. Se comparam ambos questionários e foi calculada sua OR: ESS, OR = 1,1014 (p = 0,038); Stop Bang, OR = 8,099 (p = 0,002). Conclusões: a sensibilidade ess é baixa e a área baixo da curva roc insignificante. A alta sensibilidade do questionário Stop Bang junto com a área baixo da curva ROC o tornam uma ferramenta muito importante para o sreening de esta doença.