Félix del Campo

Félix del Campo


Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 May 2012 in JAMA
Verified
Journal Article
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FBFerran Barbé
Ferran Barbé
JDJoaquín Durán-Cantolla
Joaquín Durán-Cantolla
MSManuel Sánchez-de-la-Torre
Manuel Sánchez-de-la-Torre
MMMontserrat Martínez-Alonso
Montserrat Martínez-Alonso
CCCarmen Carmona
Carmen Carmona
BNBreathing Network
Breathing Network
Research from JAMA — Effect of Continuous Positive Airway Pressure on the Incidence of Hypertension and Cardiovascular Events in Nonsleepy Patients With Obstructive Sleep Apnea — A Randomized Controlled Trial

4 January 2021 in npj Digital Medicine
Verified
Journal Article
Open access
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JLJeremy Levy
Jeremy Levy
Daniel AlvarezDaniel Alvarez
Daniel Alvarez
ARAviv A. Rosenberg
Aviv A. Rosenberg
AAAlexandra Alexandrovich
Alexandra Alexandrovich
FCFélix del Campo
Félix del Campo
JBJoachim A. Behar
Joachim A. Behar
Pulse oximetry is routinely used to non-invasively monitor oxygen saturation levels. A low oxygen level in the blood means low oxygen in the tissues, which can ultimately lead to organ failure. Yet, contrary to heart rate variability measures, a field which has seen the development of stable standards and advanced toolboxes and software, no such standards and open tools exist for continuous oxygen saturation time series variability analysis. The primary objective of this research was to identify, implement and validate key digital oximetry biomarkers (OBMs) for the purpose of creating a standard and associated reference toolbox for continuous oximetry time series analysis. We review the sleep medicine literature to identify clinically relevant OBMs. We implement these biomarkers and demonstrate their clinical value within the context of obstructive sleep apnea (OSA) diagnosis on a total of n = 3806 individual polysomnography recordings totaling 26,686 h of continuous data. A total of 44 digital oximetry biomarkers were implemented. Reference ranges for each biomarker are provided for individuals with mild, moderate, and severe OSA and for non-OSA recordings. Linear regression analysis between biomarkers and the apnea hypopnea index (AHI) showed a high correlation, which reached $$\overline R ^2 = 0.82$$ R ¯ 2 = 0.82 . The resulting python OBM toolbox, denoted “pobm”, was contributed to the open software PhysioZoo (physiozoo.org). Studying the variability of the continuous oxygen saturation time series using pbom may provide information on the underlying physiological control systems and enhance our understanding of the manifestations and etiology of diseases, with emphasis on respiratory diseases.

1 April 2010 in American Journal of Respiratory and Critical Care Medicine
Verified
Journal Article
Closed access
FBFerran Barbé
Ferran Barbé
JDJoaquín Durán-Cantolla
Joaquín Durán-Cantolla
FCFrancisco Capote
Francisco Capote
MPMónica de la Peña
Mónica de la Peña
ECEusebi Chiner
Eusebi Chiner
SGSpanish Sleep and Breathing Group
Spanish Sleep and Breathing Group
Rationale: Continuous positive airway pressure (CPAP) is the current treatment for patients with symptomatic obstructive sleep apnea (OSA). Its use for all subjects with sleep-disordered breathing, regardless of daytime symptoms, is unclear. Objectives: This multicenter controlled trial assesses the effects of 1 year of CPAP treatment on blood pressure (BP) in nonsymptomatic, hypertensive patients with OSA. Methods: We evaluated 359 patients with OSA. Inclusion criteria consisted of an apnea–hypopnea index (AHI) greater than 19 hour−1, an Epworth Sleepiness Scale score less than 11, and one of the following: under antihypertensive treatment or systolic blood pressure greater than 140 or diastolic blood pressure greater than 90 mm Hg. Patients were randomized to CPAP (n = 178) or to conservative treatment (n = 181). BP was evaluated at baseline and at 3, 6, and 12 months of follow-up. Measurements and Main Results: Mean (SD) values were as follows: age, 56 ± 10 years; body mass index (BMI), 32 ± 5 kg · m−2; AHI, 45 ± 20 hour−1; and Epworth Sleepiness Scale score, 7 ± 3. After adjusting for follow-up time, baseline blood pressure values, AHI, time with arterial oxygen saturation less than 90%, and BMI, together with the change in BMI at follow-up, CPAP treatment decreased systolic blood pressure by 1.89 mm Hg (95% confidence interval: −3.90, 0.11 mm Hg; P = 0.0654), and diastolic blood pressure by 2.19 mm Hg (95% confidence interval: −3.46, −0.93 mm Hg; P = 0.0008). The most significant reduction in BP was in patients who used CPAP for more than 5.6 hours per night. CPAP compliance was related to AHI and the decrease in Epworth Sleepiness Scale score. Conclusions: In nonsleepy hypertensive patients with OSA, CPAP treatment for 1 year is associated with a small decrease in BP. This effect is evident only in patients who use CPAP for more than 5.6 hours per night. Clinical trial registered with www.clinicaltrials.gov (NCT00127348).

1 January 2013 in American Journal of Respiratory and Critical Care Medicine
Verified
Journal Article
Closed access
FGFrancisco Garcia-Rio
Francisco Garcia-Rio
MMMiguel A. Martinez-Garcia
Miguel A. Martinez-Garcia
MMMontserrat Martínez-Alonso
Montserrat Martínez-Alonso
JDJoaquin Duran-Cantolla
Joaquin Duran-Cantolla
MPMonica de la Peña
Monica de la Peña
RFRamon Farre
Ramon Farre
Rationale: Obstructive sleep apnea (OSA) has been associated with increased cancer mortality, but whether it is also associated with cancer incidence is unknown. Objectives: To investigate whether OSA is associated with increased cancer incidence in a large clinical cohort. Methods: A multicenter, clinical cohort study including consecutive patients investigated for suspected OSA between 2003 and 2007 in seven Spanish teaching hospitals. Apnea-hypopnea index (AHI) and percent nighttime with oxygen saturation less than 90% (TSat90) were used as surrogates of OSA severity, both as continuous variables and categorized by tertiles. Cox proportional hazards regression analyses were used to calculate hazard ratio (HR) and 95% confidence interval (CI) for cancer incidence after adjusting for confounding variables. Measurements and Main Results: A total of 4,910 patients were analyzed (median follow-up, 4.5 yr; interquartile range, 3.4–5.2). Compared with the lower TSat90 category (43 vs. <18.7, 1.66; 95% CI, 1.04–2.64). Conclusions: Increased overnight hypoxia as a surrogate of OSA severity was associated with increased cancer incidence. This association seems to be limited to men and patients younger than 65 years of age.

1 September 2013 in Archivos de Bronconeumología
Verified
Journal Article
Closed access
FGFrancisco Garcia-Rio
Francisco Garcia-Rio
MRMyriam Calle Rubio
Myriam Calle Rubio
FBFelip Burgos
Felip Burgos
PCPere Casan
Pere Casan
FCFélix del Campo
Félix del Campo
LMLuis Puente MAestu
Luis Puente MAestu

1 July 2014 in Sleep Medicine
Verified
Journal Article
Closed access
MMMiguel Angel Martinez-Garcia
Miguel Angel Martinez-Garcia
FGFrancisco Garcia-Rio
Francisco Garcia-Rio
JDJoaquín Durán-Cantolla
Joaquín Durán-Cantolla
MPMónica de la Peña
Mónica de la Peña
MMMaría J. Masdeu
María J. Masdeu
JMJavier Marcelo Montserrat
Javier Marcelo Montserrat