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. 2022 Jan 1;118(1):115–373. [Article in Portuguese] doi: 10.36660/abc.20211012

Table 3-3. – Number of DALYs, age-standardized DALY rates (per 100 000) due to ischemic heart disease in 1990 and 2019, and percent change of rates in the period, in Brazil and its Federative Units.

Location 1990 2019 Percent change (95% UI)
Number (95% UI) Rate (95% UI) Number (95% UI) Rate (95% UI)
Acre 3404.1 (3139.6;3645.5) 2093.7 (1937.9;2235.9) 8056 (7281.6;8875.9) 1271.5 (1148.8;1398.9) -39.3(-45.8;-31.6)
Alagoas 35988 (33355.1;38794.7) 2642.2 (2445.9;2836.5) 64183.2 (57031.8;72062.4) 1957.6 (1742.2;2194.8) -25.9(-35.5;-15.1)
Amapá 1872.1 (1729.6;2006.7) 1865.3 (1728.2;1990.5) 6757.6 (6131;7326.5) 1234.7 (1114.1;1343.3) -33.8(-39.7;-27.6)
Amazonas 16169.9 (14743.4;17642.5) 2166.7 (1982.4;2353) 32551.7 (28674.8;36563.6) 1106.3 (973.8;1241.8) -48.9(-55.3;-42)
Bahia 157006.3 (140109.9;174887) 2308.3 (2064.6;2565.5) 248479.4 (212225.9;284940.9) 1523.6 (1300.4;1747.9) -34(-44.6;-20.8)
Brazil 2793361.6 (2696368.8;2875301.9) 3117.1 (2989.1;3214) 3721023.5 (3507748;3892657.2) 1563.3 (1472.1;1636.1) -49.8(-52.2;-47.6)
Ceará 75826 (65771.4;86754.3) 1860.5 (1616.9;2128.9) 155657.8 (131957.2;182735.2) 1556.1 (1322.1;1827.7) -16.4(-31.5;4.2)
Distrito Federal 18350.9 (16471.6;20617.2) 3247.2 (2939.1;3588.9) 28941.1 (25769.2;32405.2) 1147.9 (1017.5;1278.2) -64.6(-69.1;-59.5)
Espírito Santo 39315.3 (37642.8;40842.8) 2723.4 (2595.9;2826.1) 71428.3 (63301.5;80094.9) 1616.2 (1434.6;1806.8) -40.7(-47.6;-33.7)
Goiás 63256.2 (54931.7;74559.1) 2936.4 (2571.5;3439.6) 115723.9 (98226.5;135146.5) 1606.9 (1366.6;1870.7) -45.3(-55.3;-32.9)
Maranhão 81890.1 (68565.6;95781.4) 3036.4 (2553.7;3520.6) 144195.8 (121818.6;171277) 2156.5 (1826.3;2545.6) -29(-42.8;-9.2)
Mato Grosso 24136.6 (21151.7;27140.8) 2916.9 (2600.3;3235.1) 46201.2 (41637.4;51223.9) 1349.3 (1217.7;1495.9) -53.7(-59.4;-45.9)
Mato Grosso do Sul 29159.4 (27471.5;30999.4) 3186.1 (2989.1;3385.4) 48763.9 (43588.8;54656.4) 1625.7 (1454.1;1821.7) -49(-54.8;-42.4)
Minas Gerais 294064.9 (275086.6;318894.3) 3036.3 (2834.2;3277.7) 332544.7 (299215.8;369571) 1250.8 (1124.8;1388.1) -58.8(-63.6;-54.1)
Pará 52443.4 (46628.1;58642.3) 2533.3 (2253.3;2811.5) 100474.6 (89523.2;111319.9) 1396.9 (1245.5;1548.5) -44.9(-52.4;-35.9)
Paraíba 52628.5 (47840.1;57117.1) 2310.8 (2096;2507.7) 82129.3 (72301.8;93181.2) 1736.4 (1528.3;1969.4) -24.9(-35.2;-13.2)
Paraná 161480.7 (156250.5;167183) 3367.8 (3231.3;3489) 200724.6 (177943.7;223894) 1495.3 (1327.8;1670.7) -55.6(-60.4;-50.2)
Pernambuco 135058.1 (128395.1;141504.1) 2984.4 (2825.6;3128.2) 220562.4 (197651;245799) 2163.2 (1936.7;2404.8) -27.5(-35.5;-18.7)
Piauí 33451.5 (30836.8;36206.4) 2409.3 (2204.1;2608.6) 55492.6 (49570.2;61446.8) 1468.9 (1312.9;1626.4) -39(-46.4;-31)
Rio de Janeiro 407746.1 (394302.6;419720.2) 4171.5 (4011.9;4299.1) 427010.3 (384691.2;474730.2) 1899.1 (1712.3;2108.5) -54.5(-58.9;-49.4)
Rio Grande do Norte 34665.5 (31015.3;38186.2) 2189.7 (1958;2411.2) 61578.7 (52237.5;71777.6) 1573 (1335.7;1833.8) -28.2(-39.9;-14.1)
Rio Grande do Sul 218591.9 (209049.2;225505.3) 3319.3 (3158.8;3432.1) 220881.2 (195868.6;245433.1) 1424.1 (1263.9;1583.3) -57.1(-61.7;-52.5)
Rondônia 11257.2 (9744.8;12593.1) 3362.8 (3058.3;3657.7) 24715.8 (21437.5;28409.9) 1558.4 (1359.9;1783.2) -53.7(-60.3;-45.8)
Roraima 1722.5 (1541.1;1885.8) 2850.2 (2648.8;3067) 5071 (4637.9;5541.6) 1319.7 (1203;1436.8) -53.7(-58.3;-48.3)
Santa Catarina 78531.6 (74508.7;82564.6) 3139.7 (2968.8;3300.9) 112745.8 (100343.6;125606.6) 1372.9 (1220.7;1526.7) -56.3(-61;-51.2)
São Paulo 739272.4 (701242.6;775952.1) 3716.7 (3515.9;3898) 848171.4 (760424.2;937315.5) 1552.8 (1387.5;1711.6) -58.2(-62.4;-53.7)
Sergipe 16140.7 (14704.3;17710.1) 2146.4 (1961.4;2348) 33976.8 (29494.2;39095.9) 1483.8 (1289.8;1703.2) -30.9(-40.9;-19.3)
Tocantins 9931.6 (8722.7;11149.1) 2511.8 (2230.3;2811.7) 24004.5 (20790;27711.9) 1649.1 (1433.6;1900) -34.3(-44.4;-22.7)

Source: Data derived from Global Burden of Disease Study 2019, Institute for Health Metrics and Evaluation, University of Washington. 46