TY - JOUR
T1 - Existing Data Sources for Clinical Epidemiology
T2 - The Danish Study Group of Infections of the Brain Database (DASGIB)
AU - Bodilsen, Jacob
AU - Larsen, Lykke
AU - Brandt, Christian Thomas
AU - Wiese, Lothar
AU - Hansen, Birgitte Rønde
AU - Andersen, Christian Østergaard
AU - Lüttichau, Hans Rudolf
AU - Helweg-Larsen, Jannik
AU - Storgaard, Merete
AU - Nielsen, Henrik
N1 - © 2021 Bodilsen et al.
PY - 2021
Y1 - 2021
N2 - Central nervous system (CNS) infections are rare diseases that are associated with considerable morbidity and mortality. Increased knowledge based on contemporary data is a prerequisite for improved management and prevention of these serious conditions. Yet, population-based databases of patients hospitalized with CNS infections remain scarce. The Danish Study Group of Infections of the Brain (DASGIB) has prospectively registered information on all adults ≥18 years of age admitted with CNS infections at departments of infectious diseases in Denmark since 2015. The main variables collected are baseline demographics, blood and cerebrospinal fluid tests, imaging results, and outcome using the Glasgow Outcome Scale score. To investigate important aspects for each type of CNS infections, additional variables are included specifically for bacterial meningitis, viral meningitis, encephalitis, brain abscess, neurosyphilis, and Lyme neuroborreliosis. From 2015 to 2020, a total of 3579 cases of CNS infections have been recorded in the DASGIB database. Using the unique civil registration number assigned to all Danish residents, the database can be unambiguously linked with nationwide healthcare registries at the individual level. This enables researchers to conduct detailed population-based and longitudinal observational studies of risk and prognosis of CNS infections and to compare them with matched population cohorts. The database is well-suited for epidemiological research and the DASGIB network forms a solid infrastructure for future national and international collaborations.
AB - Central nervous system (CNS) infections are rare diseases that are associated with considerable morbidity and mortality. Increased knowledge based on contemporary data is a prerequisite for improved management and prevention of these serious conditions. Yet, population-based databases of patients hospitalized with CNS infections remain scarce. The Danish Study Group of Infections of the Brain (DASGIB) has prospectively registered information on all adults ≥18 years of age admitted with CNS infections at departments of infectious diseases in Denmark since 2015. The main variables collected are baseline demographics, blood and cerebrospinal fluid tests, imaging results, and outcome using the Glasgow Outcome Scale score. To investigate important aspects for each type of CNS infections, additional variables are included specifically for bacterial meningitis, viral meningitis, encephalitis, brain abscess, neurosyphilis, and Lyme neuroborreliosis. From 2015 to 2020, a total of 3579 cases of CNS infections have been recorded in the DASGIB database. Using the unique civil registration number assigned to all Danish residents, the database can be unambiguously linked with nationwide healthcare registries at the individual level. This enables researchers to conduct detailed population-based and longitudinal observational studies of risk and prognosis of CNS infections and to compare them with matched population cohorts. The database is well-suited for epidemiological research and the DASGIB network forms a solid infrastructure for future national and international collaborations.
KW - Bacterial meningitis
KW - Borreliosis
KW - Brain abscess
KW - Cerebral abscess
KW - CNS infections
KW - Cohort studies
KW - Database
KW - Encephalitis
KW - Epidemiology
KW - Lyme neuroborreliosis
KW - Neurosyphilis
KW - Syphilis
KW - Viral meningitis
UR - http://www.scopus.com/inward/record.url?scp=85117123691&partnerID=8YFLogxK
U2 - 10.2147/CLEP.S326461
DO - 10.2147/CLEP.S326461
M3 - Review
C2 - 34675681
VL - 13
SP - 921
EP - 933
JO - Clinical Epidemiology
JF - Clinical Epidemiology
SN - 1179-1349
M1 - S326461
ER -