Obstructive sleep apnea (OSA), one of the most frequent respiratory diseases, could represent a major worsening factor in a non alcoholic steatohepatitis and neoplastic context. Our hypothesis is that OSA promotes the prevalence of HCC related to NASH. This national, multicenter study aims to compare the prevalence of OSA in a group of patient curatively resected for NASH-related HCC with a group of HCV-related HCC.
Obstructive Sleep Apnea (OSA) is a common respiratory disease characterized by the occurrence of recurrent episodes of partial or total obstruction of the upper airway called hypopneas and apneas respectively. These episodes are associated with the repetitive occurrence of the desaturation-reoxygenation sequences, the so-called chronic intermittent hypoxia (IH) which is the major stimulus underlying main cardiovascular, metabolic consequences and pro-inflammatory state found in patients with OSA. Recent data from cohort studies have established that OSA is an even greater risk factor for cancer-related mortality. Hepatocellular carcinoma (HCC) is the second cancer related death worldwide and has an increasing impact in developed countries. The epidemic of metabolic syndrome (MS) plays a growing role in the occurrence of metabolic steatohepatitis (NASH) related HCC. Concerning transition from NASH to NASH-related HCC, neither the frequency nor the underlying mechanism are known. Very recently, a link between OSA (IH) and NASH has been highlighted. OSA and intermittent hypoxia should be a major worsening factor in a neoplastic context. Our hypothesis is that OSA promotes the prevalence of HCC in a context of NASH. The objective is to compare the prevalence of OSA between patients with NASH-related and hepatitis C virus (HCV)-related HCC. In this type 3, cross-sectional, multicenter, national, non-randomized study patients suffering from a NASH-related or HCV-related hepatocellular carcinoma will be recruited. Investigators expect to show a higher prevalence of OSA in patients with HCC NASH-related but also a shorter overall survival. Complementary ex vivo studies on tumor samples will be conducted in order to explore the mechanisms by which OSA and IH would promote carcinogenesis
Study Type
OBSERVATIONAL
Diagnosis of OSA will be based on the 3% Oxygen Desaturation Index (IDO) obtained by home nocturnal oximetry. The oximetry recordings will be centralized in sleep laboratory of the University Hospital of Grenoble Alpes. Oximetry data will be analyzed by a technician from the sleep laboratory of the University Hospital of Grenoble Alpes
Minovés-Kotzki
La Tronche, Rhones-Alpes, France
The study will compare OSA prevalence in a group of patient curatively resected for NASH-related HCC with a group of HCV-related HCC.
Number of patient presenting an obstructive apnea syndrome diagnosed by oxymetry
Time frame: 2 years
The study will compare the 3% oxygen desaturation index between groups.
3% IDO represents the number of oxygen desaturation of at least 3% per hour of oxymetry recording, measured by one oximetry measurement during a single night at the patient's home.
Time frame: 2 years
The study will compare the 2% oxygen desaturation index between groups.
2% IDO represents the number of oxygen desaturation of at least 2% per hour of oxymetry recording, measured by one oximetry measurement during a single night at the patient's home.
Time frame: 2 years
The study will compare the 4% oxygen desaturation index between groups.
4% IDO represents the number of oxygen desaturation of at least 4% per hour of oxymetry recording, measured by one oximetry measurement during a single night at the patient's home.
Time frame: 2 years
This study will compare the number of micro-arousals between groups.
Micro-arousals associated with desaturation will be measured to characterize sleep fragmentation
Time frame: 2 years
This study will compare the time spent with a saturation less than 90 % between groups.
The time spent with a saturation less than 90 % (Tsat90 in second) to characterize oxygen desaturations and OSA severity
Time frame: 2 years
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This study will compare the Pittsburgh Sleep Quality Index (PSQI) between groups.
The Pittsburgh Sleep Quality Index (PSQI) is a self-report questionnaire that assesses sleep quality. Consisting of 19 items, the PSQI measures several different aspects of sleep. Each item is weighted on a 0-3 interval scale. The global PSQI score is then calculated by totaling the seven component scores, providing an overall score ranging from 0 to 21, where lower scores denote a healthier sleep quality.
Time frame: 2 years
This study will compare the Epworth Sleepiness Score between groups.
The Epworth sleepiness scale (ESS) is a self-administered questionnaire that's routinely used by doctors to assess daytime sleepiness. The person filling in the questionnaire rates how likely they are to doze off during the day in 8 different situations.The test evaluate the tendency to become sleepy on a scale of 0, no chance of dozing, to 3, high chance of dozing.
Time frame: 2 years
The study will compare the prevalence of OSA in patients with NASH-induced CHC with cirrhotic context compared to NASH-induced CHC patients without cirrhosis.
Number of patient presenting an obstructive apnea syndrome diagnosed by oxymetry in both subpopulations: cirrhotic and non-cirrhotic.
Time frame: 2 years
The study will compare the NAFLD Activity Score (NAS score) between OSA and non-OSA subgroups of NASH patients.
NAFLD Activity Score includes the degree of steatosis, hepatocyte ballooning, lobular inflammation and fibrosis. Nas score is between 0 and 16.
Time frame: 2 years
The study will compare the Brunt score between OSA and non-OSA subgroups of NASH patients.
The Brunt score for NASH patients is used to evaluate fibrosis stage. The score is between 1 and 4.
Time frame: 2 Years
The study will compare the METAVIR score data between HCV OSA and HCV non-OSA patients.
The METAVIR score is used to evaluate fibrosis stage for HCV patients. The score is between 0 and 4.
Time frame: 2 Years
The study will compare BCLC classification of HCC tumor between groups.
Tumor stage evaluated by BCLC classification scale :0,A,B,C and D values (0 for Stage 0 Very early stage, D for terminal stage)
Time frame: 2 years
The study will compare HCC tumor size between each groups.
Tumor size (expressed in cm) is asociated to HCC prognostic the size of the tumor is associated with the prognosis of the HCC
Time frame: 2 years
The study will compare HCC tumor differentiation degree between groups.
The tumor differentiation is classified in 3 levels: low, moderate or high level of tumor differentiation
Time frame: 2 years
The study will compare vascular invasion of HCC tumor between groups.
Presence or absence of tumor vascular invasion
Time frame: 2 years
The study will compare the number of satellite nodules of HCC between between groups.
Number of tumoral satellite nodules (multifocality)
Time frame: 2 years
The study will compare plasma alpha fetoprotein level between groups.
Plasma alpha fetoprotein (AFP) level expressed in ng/ml
Time frame: 2 years
The study will compare overall survival rate between groups.
Overall survival at 1 and 2 years will be collected.
Time frame: 2 years
The study will compare tumor-free survival rate between groups.
Tumor-free survival at 1 and 2 years will be collected.
Time frame: 2 years
The study will compare non-recurrence-free survival rate between groups.
Non-recurrence-free survival at 1 and 2 years will be retrospectively or prospectively collected.
Time frame: 2 years