Table 1.

Descriptive Statistics of Study Population and Incidence of Newly Diagnosed Active Tuberculosis (TB): Adults Tested for Hepatitis C Virus Antibodies in Georgia Between 1 January 2015 and 30 September 2020, Without Prior TB Diagnosis

Demographic CharacteristicsTotalNew Active TBPYsTB IR per 100 000 PYs
nColumn (%)nRow (%)
Total cohort1 828 80810031630.174 212 32775.1
Sex
ȃMale825 0814520850.251 962 556106.2
ȃFemale1 003 7275510780.112 249 77147.9
Year of first HCV antibody testing
ȃ<201568 14042430.36388 63562.5
ȃ201568 54042240.33348 81364.2
ȃ2016170 50393790.22671 15556.5
ȃ2017433 011249040.211 307 51669.1
ȃ2018394 774226880.17842 72881.6
ȃ2019494 685275390.11580 09292.9
ȃ2020a199 155111860.0973 388253.4
Screening group
ȃBirth registry114 56061020.09331 48430.8
ȃBlood bank187 295103030.16778 10338.9
ȃHarm reduction Network13 1141180.1427 84364.6
ȃInpatient239 624135700.24684 59383.3
ȃNCDC162 06193240.20459 19770.6
ȃOutpatient clinics987 0465414340.151 491 20796.2
ȃPeople who are incarcerated87700710.8130 687231.4
ȃMilitary recruits24 2001460.1982 98055.4
ȃTbilisi city hall25 7951410.16115 28835.6
ȃMissing66 34342540.38210 945120.4
Region of the first screening
ȃTbilisi815 3504515760.192 209 70271.3
ȃOther980 4075414920.151 907 66478.2
ȃMissing33 0512950.2994 960100.0
At least 1 positive HCV antibody test
ȃYes120 79176640.55364 830182.0
ȃNo1 708 0179324990.153 847 49665.0
Demographic CharacteristicsTotalNew Active TBPYsTB IR per 100 000 PYs
nColumn (%)nRow (%)
Total cohort1 828 80810031630.174 212 32775.1
Sex
ȃMale825 0814520850.251 962 556106.2
ȃFemale1 003 7275510780.112 249 77147.9
Year of first HCV antibody testing
ȃ<201568 14042430.36388 63562.5
ȃ201568 54042240.33348 81364.2
ȃ2016170 50393790.22671 15556.5
ȃ2017433 011249040.211 307 51669.1
ȃ2018394 774226880.17842 72881.6
ȃ2019494 685275390.11580 09292.9
ȃ2020a199 155111860.0973 388253.4
Screening group
ȃBirth registry114 56061020.09331 48430.8
ȃBlood bank187 295103030.16778 10338.9
ȃHarm reduction Network13 1141180.1427 84364.6
ȃInpatient239 624135700.24684 59383.3
ȃNCDC162 06193240.20459 19770.6
ȃOutpatient clinics987 0465414340.151 491 20796.2
ȃPeople who are incarcerated87700710.8130 687231.4
ȃMilitary recruits24 2001460.1982 98055.4
ȃTbilisi city hall25 7951410.16115 28835.6
ȃMissing66 34342540.38210 945120.4
Region of the first screening
ȃTbilisi815 3504515760.192 209 70271.3
ȃOther980 4075414920.151 907 66478.2
ȃMissing33 0512950.2994 960100.0
At least 1 positive HCV antibody test
ȃYes120 79176640.55364 830182.0
ȃNo1 708 0179324990.153 847 49665.0

Abbreviations: anti-HCV, antibodies against hepatitis C virus; HCV, hepatitis C virus; IR, incidence rate; NCDC, National Center for Disease Control; PY, person-year; TB, tuberculosis.

The high incidence rate of TB in 2020 is likely caused by the pandemic-related lockdowns in the first half of the year (March–May). Anti-HCV testing was lower in early months of 2020 and increased in summer, which caused the number of people included in the analysis for 2020 to increase but their contribution to person-time was very short and resulted in a small denominator, increasing the rate.

Table 1.

Descriptive Statistics of Study Population and Incidence of Newly Diagnosed Active Tuberculosis (TB): Adults Tested for Hepatitis C Virus Antibodies in Georgia Between 1 January 2015 and 30 September 2020, Without Prior TB Diagnosis

Demographic CharacteristicsTotalNew Active TBPYsTB IR per 100 000 PYs
nColumn (%)nRow (%)
Total cohort1 828 80810031630.174 212 32775.1
Sex
ȃMale825 0814520850.251 962 556106.2
ȃFemale1 003 7275510780.112 249 77147.9
Year of first HCV antibody testing
ȃ<201568 14042430.36388 63562.5
ȃ201568 54042240.33348 81364.2
ȃ2016170 50393790.22671 15556.5
ȃ2017433 011249040.211 307 51669.1
ȃ2018394 774226880.17842 72881.6
ȃ2019494 685275390.11580 09292.9
ȃ2020a199 155111860.0973 388253.4
Screening group
ȃBirth registry114 56061020.09331 48430.8
ȃBlood bank187 295103030.16778 10338.9
ȃHarm reduction Network13 1141180.1427 84364.6
ȃInpatient239 624135700.24684 59383.3
ȃNCDC162 06193240.20459 19770.6
ȃOutpatient clinics987 0465414340.151 491 20796.2
ȃPeople who are incarcerated87700710.8130 687231.4
ȃMilitary recruits24 2001460.1982 98055.4
ȃTbilisi city hall25 7951410.16115 28835.6
ȃMissing66 34342540.38210 945120.4
Region of the first screening
ȃTbilisi815 3504515760.192 209 70271.3
ȃOther980 4075414920.151 907 66478.2
ȃMissing33 0512950.2994 960100.0
At least 1 positive HCV antibody test
ȃYes120 79176640.55364 830182.0
ȃNo1 708 0179324990.153 847 49665.0
Demographic CharacteristicsTotalNew Active TBPYsTB IR per 100 000 PYs
nColumn (%)nRow (%)
Total cohort1 828 80810031630.174 212 32775.1
Sex
ȃMale825 0814520850.251 962 556106.2
ȃFemale1 003 7275510780.112 249 77147.9
Year of first HCV antibody testing
ȃ<201568 14042430.36388 63562.5
ȃ201568 54042240.33348 81364.2
ȃ2016170 50393790.22671 15556.5
ȃ2017433 011249040.211 307 51669.1
ȃ2018394 774226880.17842 72881.6
ȃ2019494 685275390.11580 09292.9
ȃ2020a199 155111860.0973 388253.4
Screening group
ȃBirth registry114 56061020.09331 48430.8
ȃBlood bank187 295103030.16778 10338.9
ȃHarm reduction Network13 1141180.1427 84364.6
ȃInpatient239 624135700.24684 59383.3
ȃNCDC162 06193240.20459 19770.6
ȃOutpatient clinics987 0465414340.151 491 20796.2
ȃPeople who are incarcerated87700710.8130 687231.4
ȃMilitary recruits24 2001460.1982 98055.4
ȃTbilisi city hall25 7951410.16115 28835.6
ȃMissing66 34342540.38210 945120.4
Region of the first screening
ȃTbilisi815 3504515760.192 209 70271.3
ȃOther980 4075414920.151 907 66478.2
ȃMissing33 0512950.2994 960100.0
At least 1 positive HCV antibody test
ȃYes120 79176640.55364 830182.0
ȃNo1 708 0179324990.153 847 49665.0

Abbreviations: anti-HCV, antibodies against hepatitis C virus; HCV, hepatitis C virus; IR, incidence rate; NCDC, National Center for Disease Control; PY, person-year; TB, tuberculosis.

The high incidence rate of TB in 2020 is likely caused by the pandemic-related lockdowns in the first half of the year (March–May). Anti-HCV testing was lower in early months of 2020 and increased in summer, which caused the number of people included in the analysis for 2020 to increase but their contribution to person-time was very short and resulted in a small denominator, increasing the rate.

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