Despite efficient antiretroviral treatment for HIV infection, decrease in life expectancy remains. Excess mortality is mainly due to non-AIDS co-morbidity including cardiovascular, pulmonary, and liver related diseases. Both HIV-unrelated and HIV-related risk factors probably contribute to this pattern. At present, most evidence regarding co-morbidity in HIV infection rely on cross-study comparisons of HIV-infected persons with published population rates and few prospective studies in U.S. cohorts. Using well characterized participants from the Copenhagen General Population Study (CGPS) as controls, we aim to include \>1500 HIV-infected persons in the COCOMO study to determine if co-morbidity is more prevalent or develops at a higher rate in HIV-infected persons. The study will asses 1) cardiovascular, 2) pulmonary and 3) liver-related co-morbidity using uniformly collected data in the two cohorts. The investigators aim to study the relative impact of HIV-unrelated and HIV-related factors on development of co-morbidity.
Primary hypothesis: Cardiovascular disease: \- HIV infection is independently associated with higher prevalence of coronary atherosclerosis (assessed by CT angiography) Obstructive pulmonary disease: \- HIV infection is independently associated with higher prevalence of COPD, and independently associated with loss of lung function Liver disease: \- HIV infection is independently associated with liver steatosis, steatohepatitis and liver fibrosis Lipid and fat metabolism: \- HIV infection is independently associated with alterations in adipose fat tissue and dyslipidemia Secondary hypothesis: Cardiovascular disease: * Viral load and CD4 are independently associated with coronary atherosclerosis (assessed by CT angiography) in HIV-infected individuals. * Levels of inflammatory markers can predict coronary atherosclerosis in HIV-infected individuals. * Microbial translocation and metabolism are associated with coronary atherosclerosis in HIV-infected individuals. * Endothelial dysfunction (assessed by arterial elastography) can predict coronary atherosclerosis in HIV-infected individuals Obstructive pulmonary disease: * Viral load and CD4 is independently associated with emphysema * HIV is independently associated with pulmonary hypertension (assessed by CT angiography), and obstructive lung disease is independently associated with airway obstruction * PCP colonization in HIV infected patients is independently associated with obstructive lung disease, emphysema and loss of lung function. * Inflammatory markers in HIV infected patients are associated with obstructive lung disease and loss of lung function
Study Type
OBSERVATIONAL
Enrollment
1,099
Copenhagen University Hospital - Rigshospitalet
Copenhagen, Denmark
Copenhagen University Hospital - Amager and Hvidovre
Hvidovre, Denmark
Coronary atherosclerosis
Prevalence of coronary atherosclerosis; electrocardiographic abnormalities and peripheral artery disease
Time frame: Baseline cross-sectional data and after 2 years follow-up
Obstructive pulmonary disease
Emphysema, airflow limitation,
Time frame: Baseline cross-sectional data and after 2 years follow-up
Liver disease
Prevalence of hepatic steatosis, steatohepatitis and liver fibrosis
Time frame: Baseline cross-sectional data and after 2 years follow-up
Lipid and fat metabolism
Visceral adipose tissue, dyslipidemia, gut microbiota
Time frame: Baseline cross-sectional data and after 2 years follow-up
Inflammation and clonal hematopoiesis
Cytokines (e.g. IL-6, TNF-alfa), cell subsets (e.g. Tregs, Th17)
Time frame: Baseline cross-sectional data and after 2 years follow-up
Emphysema, P. jirovecii colonization
Secondary pulmonary outcome measures
Time frame: Baseline data(cross-sectional data)
Depression
Major Depression Inventory Score, kynurenin/tryptophan ratio
Time frame: Baseline data (cross-sectional data)
Bone metabolism
Bone mineral density
Time frame: Baseline data(cross-sectional data) assessed after two years
Hematological abnormalities
Anemia, trombocytopenia, leukopenia
Time frame: Baseline data(cross-sectional data)
Renal function
Kidney function
Time frame: Baseline data(cross-sectional data)
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