The global burden of pediatric infective endocarditis (5–14 years): epidemiological patterns from 1990 to 2021 and projected trajectories
Ying Xiao, Yin Li, YuLing Hou, Zugen Cheng, TingTing Sun, Yuan Liao, Yan Li
TL;DR
This study examines the global impact of pediatric infective endocarditis from 1990 to 2021, finding declining rates but persistent regional disparities, with projections for future trends.
Contribution
The study provides the first comprehensive global analysis of pediatric IE burden and forecasts future trends using GBD data and ARIMA modeling.
Findings
Global pediatric IE incidence and mortality decreased significantly from 1990 to 2021.
High-SDI regions like China saw the greatest reductions, while sub-Saharan Africa and Eastern Europe showed stagnant or increasing rates.
ARIMA projections suggest potential stabilization or slight rebound in global pediatric IE burden by 2035, especially among girls.
Abstract
Pediatric infective endocarditis (IE) remains a rare but life-threatening condition, with substantial morbidity and mortality among children worldwide. Despite advances in cardiac care and infection control, the global burden, temporal trends, and regional disparities of pediatric IE remain poorly characterized. We conducted a comprehensive analysis of pediatric IE burden among children aged 5–14 years using the Global Burden of Disease (GBD) 2021 dataset. Annual incidence, mortality, and disability-adjusted life years (DALYs) attributable to IE were estimated across 204 countries and territories from 1990 to 2021. Analyses were stratified by sex, region, and socio-demographic index (SDI). An autoregressive integrated moving average (ARIMA) model was applied to forecast pediatric IE trends through 2035. Globally, the incidence of pediatric IE declined by 27.6% (95% UI, −30.9% to…
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Figure 7| location | 1990 | 2021 | 1990–2021 | ||||
|---|---|---|---|---|---|---|---|
| Incident cases | Incidence rate | Incident cases | Incidence rate | Cases change | Rate change | EAPC | |
| Global | 59183.53 (38498.56, 88373.42) | 5.29 (3.44, 7.90) | 51807.05 (33497.37, 77896.75) | 3.83 (2.47, 5.75) | −12.46 (−16.36, −9.11) | −27.63 (−30.85, −24.85) | −1.37 (−1.49, −1.24) |
| High SDI | 6549.43 (4187.80, 10128.35) | 5.28 (3.37, 8.16) | 5348.87 (3548.11, 8007.81) | 4.51 (2.99, 6.75) | −18.33 (−23.73, −11.74) | −14.61 (−20.26, −7.73) | −1.41 (−1.85, −0.97) |
| High-middle SDI | 13293.76 (8877.60, 20141.98) | 7.36 (4.91, 11.15) | 6844.06 (4410.22, 10,474.11) | 4.26 (2.74, 6.51) | −48.52 (−52.27, −45.00) | −42.16 (−46.37, −38.21) | −2.28 (−2.57, −2.00) |
| Middle SDI | 24909.08 (16576.18, 37114.13) | 6.61 (4.40, 9.85) | 15061.83 (9613.15, 22914.02) | 3.86 (2.46, .87) | −39.53 (−43.42, −36.09) | −41.63 (−45.39, −38.31) | −2.12 (−2.29, −1.94) |
| Low-middle SDI | 8271.83 (5233.85, 12761.10) | 2.77 (1.75, 4.27) | 11753.14 (7455.45, 17755.53) | 3.03 (1.92, 4.57) | 42.09 (37.63, 47.20) | 9.28 (5.86, 13.22) | 0.29 (0.21, 0.37) |
| Low SDI | 6119.73 (4137.21, 8912.75) | 4.43 (3.00, 6.45) | 12757.13 (8595.43, 18599.36) | 4.33 (2.92, 6.31) | 108.46 (102.41, 114.35) | −2.28 (−5.12, 0.48) | −0.07 (−0.17, 0.03) |
| Regions | |||||||
| Andean Latin America | 334.25 (230.11, 485.30) | 3.49 (2.40, 5.07) | 449.47 (296.48, 659.44) | 3.76 (2.48, 5.52) | 34.47 (26.10, 42.26) | 7.79 (1.08, 14.04) | 0.28 (0.24, 0.31) |
| Australasia | 84.72 (49.84, 136.01) | 2.78 (1.64, 4.47) | 111.33 (66.44, 177.77) | 2.84 (1.70, 4.54) | 31.41 (22.99, 40.98) | 2.16 (−4.39, 9.60) | 0.13 (0.05, 0.20) |
| Caribbean | 420.63 (286.44, 610.11) | 5.78 (3.93, 8.38) | 426.48 (283.04, 624.79) | 5.58 (3.71, 8.18) | 1.39 (−3.89, 6.42) | −3.33 (−8.37, 1.46) | −0.17 (−0.26, −0.09) |
| Central Asia | 270.60 (153.83, 446.34) | 1.75 (0.99, 2.89) | 350.05 (207.21, 561.53) | 1.98 (1.17, 3.18) | 29.36 (20.27, 37.21) | 13.18 (5.22, 20.04) | 0.50 (0.44, 0.56) |
| Central Europe | 552.40 (335.28, 883.83) | 2.71 (1.65, 4.34) | 351.92 (215.17, 553.05) | 2.90 (1.78, 4.56) | −36.29 (−38.50, −33.54) | 7.02 (3.30, 11.63) | 0.15 (0.11, 0.18) |
| Central Latin America | 1589.40 (994.94, 2447.71) | 3.84 (2.41, 5.92) | 1820.81 (1133.68, 2785.53) | 4.20 (2.61, 6.42) | 14.56 (9.01, 20.56) | 9.20 (3.91, 14.92) | 0.26 (0.13, 0.38) |
| Central Sub-Saharan Africa | 649.15 (417.07, 978.45) | 4.35 (2.80, 6.56) | 1704.26 (1120.47, 2546.28) | 4.53 (2.98, 6.77) | 162.54 (147.98, 181.01) | 4.09 (−1.68, 11.42) | 0.20 (0.14, 0.25) |
| East Asia | 26083.75 (17559.69, 39056.92) | 12.18 (8.20, 18.24) | 8701.24 (5641.94, 13203.98) | 4.65 (3.01, 7.05) | −66.64 (−70.24, −63.27) | −61.87 (−65.98, −58.01) | −3.79 (−4.22, −3.36) |
| Eastern Europe | 1031.71 (618.20, 1640.70) | 3.01 (1.81, 4.79) | 972.64 (600.42, 1500.23) | 3.84 (2.37, 5.92) | −5.73 (−11.77, 1.21) | 27.39 (19.22, 36.76) | 0.89 (0.80, 0.97) |
| Eastern Sub-Saharan Africa | 2602.85 (1672.21, 3953.18) | 4.78 (3.07, 7.26) | 5319.59 (3436.57, 8007.70) | 4.64 (3.00, 6.99) | 104.38 (98.72, 112.43) | −2.86 (−5.55, 0.97) | −0.09 (−0.20, 0.02) |
| High-income Asia Pacific | 1148.86 (722.61, 1778.76) | 4.60 (2.89, 7.12) | 570.09 (348.84, 899.28) | 3.57 (2.18, 5.63) | −50.38 (−54.29, −47.66) | −22.39 (−28.51, −18.14) | −1.08 (−1.26, −0.90) |
| High-income North America | 2708.42 (1710.38, 4226.25) | 6.77 (4.28, 10.57) | 2420.50 (1665.39, 3576.15) | 5.36 (3.69, 7.93) | −10.63 (−20.83, 2.88) | −20.78 (−29.83, −8.80) | −2.75 (−3.72, −1.78) |
| North Africa and Middle East | 3741.43 (2380.67, 5733.70) | 4.19 (2.67, 6.42) | 5035.18 (3157.39, 7727.21) | 4.12 (2.58, 6.32) | 34.58 (29.93, 39.05) | −1.69 (−5.09, 1.58) | −0.03 (−0.09, 0.03) |
| Oceania | 67.64 (42.58, 104.84) | 4.04 (2.54, 6.26) | 119.52 (74.93, 180.79) | 3.80 (2.38, 5.75) | 76.70 (65.73, 88.61) | −5.90 (−11.74, 0.45) | −0.18 (−0.27, −0.08) |
| South Asia | 4213.14 (2309.91, 7001.73) | 1.52 (0.84, 2.53) | 5583.95 (3102.72, 9034.07) | 1.60 (0.89, 2.59) | 32.54 (26.44, 40.39) | 5.11 (0.28, 11.35) | 0.20 (0.11, 0.29) |
| Southeast Asia | 4555.76 (2861.25, 7054.09) | 4.05 (2.54, 6.27) | 4306.11 (2686.44, 6622.76) | 3.70 (2.31, 5.69) | −5.48 (−8.71, −1.39) | −8.66 (−11.78, −4.70) | −0.27 (−0.39, −0.15) |
| Southern Latin America | 326.60 (207.07, 510.71) | 3.34 (2.12, 5.22) | 493.42 (316.14, 754.67) | 4.83 (3.09, 7.39) | 51.08 (36.72, 70.64) | 44.61 (30.86, 63.33) | 1.27 (1.16, 1.39) |
| Southern Sub-Saharan Africa | 610.04 (374.18, 963.13) | 4.62 (2.83, 7.29) | 638.38 (394.74, 998.04) | 3.98 (2.46, 6.22) | 4.64 (0.77, 9.32) | −13.76 (−16.95, −9.91) | −0.51 (−0.66, −0.36) |
| Tropical Latin America | 1753.80 (1100.54, 2680.71) | 4.80 (3.01, 7.34) | 1517.52 (973.59, 2289.35) | 4.60 (2.95, 6.94) | −13.47 (−17.10, −9.12) | −4.16 (−8.18, 0.66) | −0.14 (−0.30, 0.03) |
| Western Europe | 1930.55 (1243.01, 3008.83) | 4.02 (2.59, 6.26) | 1803.70 (1189.58, 2679.79) | 3.85 (2.54, 5.72) | −6.57 (−12.37, 0.58) | −4.23 (−10.18, 3.10) | −0.17 (−0.35, 0.01) |
| Western Sub-Saharan Africa | 4507.83 (3348.10, 6140.99) | 8.65 (6.42, 11.78) | 9110.87 (6562.98, 12592.76) | 6.76 (4.87, 9.34) | 102.11 (89.70, 112.71) | −21.83 (−26.63, −17.74) | −0.85 (−1.00, −0.71) |
| location | 1990 (95% UI) | 2021 (95% UI) | 1990–2021 | ||||
|---|---|---|---|---|---|---|---|
| Death cases | Death rate | Death cases | Death rate | Cases change | Rate change | EAPC | |
| Global | 799.42 (514.13, 1007.54) | 0.07 (0.05,0.09) | 760.04 (551.02,902.68) | 0.06 (0.04,0.07) | −4.93 (−21.63,19.95) | −21.39 (−35.20,−0.82) | −0.64 (−0.75,−0.54) |
| High SDI | 29.41 (26.22,32.96) | 0.02 (0.02,0.03) | 20.35 (18.92,21.77) | 0.02 (0.02,0.02) | −30.79 (−40.14,−20.97) | −27.64 (−37.42,−17.37) | −0.98 (−1.19,−0.76) |
| High-middle SDI | 98.52 (66.12,126.75) | 0.05 (0.04,0.07) | 39.41 (33.65,50.39) | 0.02 (0.02,0.03) | −60.00(−72.40,−40.38) | −55.05(−68.99,−33.01) | −2.57(−2.74,−2.40) |
| Middle SDI | 309.18 (207.17,376.27) | 0.08 (0.05,0.10) | 185.58 (155.03,224.17) | 0.05 (0.04,0.06) | −39.97 (−52.98,−18.74) | −42.06 (−54.61,−21.56) | −1.51 (−1.66,−1.35) |
| Low-middle SDI | 199.83 (127.69,261.86) | 0.07 (0.04,0.09) | 214.42 (158.07,259.69) | 0.06 (0.04,0.07) | 7.30 (−14.54,38.70) | −17.47 (−34.27,6.68) | −0.48 (−0.62,−0.34) |
| Low SDI | 161.72 (79.53,228.02) | 0.12 (0.06,0.17) | 299.30 (169.96,415.63) | 0.10 (0.06,0.14) | 85.07 (40.38,166.39) | −13.25 (−34.20,24.87) | −0.53 (−0.61,−0.46) |
| Regions | |||||||
| Andean Latin America | 11.93 (8.01,15.95) | 0.12 (0.08,0.17) | 10.39 (8.03,13.61) | 0.09 (0.07,0.11) | −12.95 (−40.61,25.36) | −30.22 (−52.39,0.49) | −0.92 (−1.15,−0.70) |
| Australasia | 0.32 (0.28,0.37) | 0.01 (0.01,0.01) | 0.44 (0.37,0.53) | 0.01 (0.01,0.01) | 37.55 (6.92,76.06) | 6.93 (−16.87,36.87) | 0.10 (−0.27,0.47) |
| Caribbean | 7.97 (6.01,10.91) | 0.11 (0.08,0.15) | 10.10 (6.42,14.40) | 0.13 (0.08,0.19) | 26.71(−12.36,85.34) | 20.81(−16.44,76.70) | 0.74 (0.67,0.81) |
| Central Asia | 3.16 (2.55,4.09) | 0.02 (0.02,0.03) | 2.27 (1.93,2.64) | 0.01 (0.01,0.01) | −28.03 (−46.07,−5.01) | −37.03 (−52.82,−16.89) | −1.59 (−2.00,−1.19) |
| Central Europe | 3.80 (3.48,4.29) | 0.02 (0.02,0.02) | 1.72 (1.52,1.88) | 0.01 (0.01,0.02) | −54.81 (−60.19,−48.89) | −24.08 (−33.13,−14.15) | −0.43 (−0.99,0.13) |
| Central Latin America | 29.25 (27.33,31.52) | 0.07 (0.07,0.08) | 28.57 (24.99,32.68) | 0.07 (0.06,0.08) | −2.33 (−15.48,12.38) | −6.90 (−19.44,7.12) | 0.54 (−0.01,1.10) |
| Central Sub-Saharan Africa | 13.69 (5.36,24.09) | 0.09 (0.04,0.16) | 26.82 (13.31,45.05) | 0.07 (0.04,0.12) | 95.85 (21.36,222.04) | −22.34 (−51.88,27.69) | −0.55 (−0.71,−0.39) |
| East Asia | 139.72 (71.53,190.53) | 0.07 (0.03,0.09) | 27.15 (18.86,42.88) | 0.01 (0.01,0.02) | −80.57 (−89.72,−55.86) | −77.79 (−88.25,−49.54) | −5.68 (−6.07,−5.29) |
| Eastern Europe | 7.09 (6.30,8.23) | 0.02 (0.02,0.02) | 7.01 (6.57,7.43) | 0.03 (0.03,0.03) | −1.12 (−14.32,13.49) | 33.61 (15.77,53.35) | 1.17 (0.62,1.73) |
| Eastern Sub-Saharan Africa | 98.30 (45.31,142.16) | 0.18 (0.08,0.26) | 156.34 (93.13,225.87) | 0.14 (0.08,0.20) | 59.05 (9.13,153.41) | −24.41 (−48.13,20.44) | −0.95 (−1.02,−0.89) |
| High-income Asia Pacific | 8.32 (5.32,11.62) | 0.03 (0.02,0.05) | 2.42 (2.04,2.98) | 0.02 (0.01,0.02) | −70.87 (−80.61,−51.35) | −54.44 (−69.67,−23.91) | −3.24 (−3.56,−2.91) |
| High-income North America | 8.16 (7.17,9.68) | 0.02 (0.02,0.02) | 6.49 (6.06,6.98) | 0.01 (0.01,0.02) | −20.48 (−36.09,−5.30) | −29.51 (−43.35,−16.05) | −1.18 (−1.36,−1.01) |
| North Africa and Middle East | 94.65 (61.90,132.09) | 0.11 (0.07,0.15) | 67.11 (50.90,88.31) | 0.05 (0.04,0.07) | −29.10 (−49.82,−0.17) | −48.21 (−63.35,−27.08) | −1.88 (−2.01,−1.76) |
| Oceania | 1.99 (1.18,3.38) | 0.12 (0.07,0.20) | 6.13 (3.48,10.29) | 0.19 (0.11,0.33) | 208.41 (82.67,439.45) | 64.25 (−2.71,187.29) | 2.01 (1.79,2.22) |
| South Asia | 117.75 (62.84,176.83) | 0.04 (0.02,0.06) | 127.63 (82.93,165.21) | 0.04 (0.02,0.05) | 8.39 (−21.61,49.24) | −14.04 (−37.83,18.36) | −0.42 (−0.63,−0.20) |
| Southeast Asia | 124.67 (82.03,167.05) | 0.11 (0.07,0.15) | 90.00 (71.44,124.17) | 0.08 (0.06,0.11) | −27.81 (−49.13,9.91) | −30.23 (−50.84,6.21) | −0.92 (−1.03,−0.81) |
| Southern Latin America | 4.51 (3.92,5.19) | 0.05 (0.04,0.05) | 2.43 (2.07,2.80) | 0.02 (0.02,0.03) | −46.15 (−56.65,−34.98) | −48.45 (−58.51,−37.76) | −1.85 (−2.09,−1.60) |
| Southern Sub-Saharan Africa | 19.14 (12.93,24.57) | 0.14 (0.10,0.19) | 21.38 (16.27,26.88) | 0.13 (0.10,0.17) | 11.70 (−21.78,45.82) | −7.95 (−35.54,20.17) | −1.03 (−1.49,−0.57) |
| Tropical Latin America | 46.06 (41.50,50.52) | 0.13 (0.11,0.14) | 24.40 (20.48,27.78) | 0.07 (0.06,0.08) | −47.03 (−55.36,−38.80) | −41.33 (−50.56,−32.22) | −1.03 (−1.55,−0.51) |
| Western Europe | 7.62 (6.72,8.94) | 0.02 (0.01,0.02) | 9.37 (8.60,9.97) | 0.02 (0.02,0.02) | 22.91 (4.74,43.16) | 25.98 (7.36,46.74) | 1.21 (0.71,1.71) |
| Western Sub-Saharan Africa | 51.32 (24.69,72.70) | 0.10 (0.05,0.14) | 131.89 (62.94,186.41) | 0.10 (0.05,0.14) | 157.00 (93.98,238.39) | −0.61 (−24.98,30.87) | −0.05 (−0.21,0.10) |
| location | 1990 (95% UI) | 2021 (95% UI) | 1990–2021 | ||||
|---|---|---|---|---|---|---|---|
| DALYs cases | DALY rate | DALYs cases | DALY rate | Cases change | Rate change | EAPC | |
| Global | 65944.74 (43484.04,82413.14) | 5.89 (3.89,7.36) | 64434.18 (48112.32,76349.69) | 4.76 (3.55,5.64) | −2.29 (−19.16,23.19) | −19.22 (−33.17,1.86) | −0.56 (−0.66,−0.46) |
| High SDI | 2590.72 (2301.25, 2915.61) | 2.09 (1.85,2.35) | 2183.03 (1926.28, 2535.24) | 1.84 (1.62,2.14) | −15.74 (−27.24,−3.24) | −11.90 (−23.93,1.16) | −0.33 (−0.54,−0.12) |
| High-middle SDI | 8193.72 (5587.53, 10486.82) | 4.53 (3.09,5.80) | 3628.50 (3130.15, 4518.41) | 2.26 (1.95,2.81) | −55.72 (−68.40,−35.20) | −50.24 (−64.49,−27.20) | −2.25 (−2.40,−2.11) |
| Middle SDI | 25486.87 (17420.47,31095.37) | 6.77 (4.62,8.26) | 15776.00 (13404.07,18860.85) | 4.04 (3.43,4.83) | −38.10 (−51.04,−16.81) | −40.25 (−52.74,−19.70) | −1.42 (−1.56,−1.27) |
| Low-middle SDI | 16411.02 (10570.33,21357.74) | 5.50 (3.54,7.15) | 17988.06 (13579.22,21671.78) | 4.63 (3.50,5.58) | 9.61 (−12.18,40.46) | −15.69 (−32.45,8.04) | −0.42 (−0.55,−0.29) |
| Low SDI | 13199.16 (6643.40, 18463.85) | 9.56 (4.81,13.37) | 24777.46 (14474.43,33642.99) | 8.41 (4.91,11.42) | |||
| Regions | 87.72 (43.26,168.69) | −12.01 (−32.85,25.95) | −0.48 (−0.55,−0.41) | ||||
| Andean Latin America | 990.02 (676.67,1313.85) | 10.34 (7.07,13.73) | 895.93 (703.75,1157.47) | 7.50 (5.89,9.69) | −9.50 (−37.69,29.01) | −27.46 (−50.05,3.42) | −0.82 (−1.04,−0.60) |
| Australasia | 28.24 (24.53,32.44) | 0.93 (0.81,1.07) | 46.41 (38.38,56.35) | 1.19 (0.98,1.44) | 64.38 (35.23,100.70) | 27.79 (5.13,56.03) | 0.74 (0.35,1.13) |
| Caribbean | 659.84 (501.35,898.76) | 9.06 (6.89,12.34) | 839.92 (550.49, 1175.07) | 11.00 (7.21,15.39) | 27.29 (−10.29,82.33) | 21.36 (−14.47,73.83) | 0.75 (0.68,0.82) |
| Central Asia | 265.50 (216.74,339.91) | 1.72 (1.40,2.20) | 194.36 (164.09,226.47) | 1.10 (0.93,1.28) | −26.79 (−44.05,−5.09) | −35.95 (−51.05,−16.96) | −1.53 (−1.92,−1.14) |
| Central Europe | 344.06 (314.35,390.39) | 1.69 (1.54,1.92) | 203.38 (172.72,245.57) | 1.68 (1.43,2.03) | −40.89 (−49.60,−31.40) | −0.70 (−15.34,15.23) | 0.30 (−0.19,0.79) |
| Central Latin America | 2475.42 (2310.73, 2666.36) | 5.98 (5.59,6.45) | 2476.53 (2189.70, 2861.99) | 5.71 (5.05,6.60) | 0.05 (−12.83,14.72) | −4.64 (−16.91,9.35) | 0.59 (0.04,1.15) |
| Central Sub-Saharan Africa | 1125.17 (455.70, 1958.75) | 7.54 (3.06,13.13) | 2250.77 (1147.52, 3747.98) | 5.98 (3.05,9.96) | 100.04 (25.57,219.97) | −20.69 (−50.21,26.87) | −0.49 (−0.64,−0.34) |
| East Asia | 11485.88 (5959.29, 15585.43) | 5.37 (2.78,7.28) | 2378.71 (1713.19, 3657.11) | 1.27 (0.91,1.95) | −79.29 (−88.74,−54.82) | −76.33 (−87.13,−48.36) | −5.48 (−5.87,−5.09) |
| Eastern Europe | 618.76 (547.16,719.72) | 1.81 (1.60,2.10) | 701.48 (633.23,793.05) | 2.77 (2.50,3.13) | 13.37(−3.16,30.60) | 53.19 (30.85,76.47) | 1.57 (1.11,2.04) |
| Eastern Sub-Saharan Africa | 8068.90 (3900.23, 11583.52) | 14.81 (7.16,21.26) | 13100.95 (8165.77, 18516.87) | 11.43 (7.12,16.15) | 62.36 (12.83,154.40) | −22.83 (−46.38,20.91) | −0.88 (−0.94,−0.82) |
| High-income Asia Pacific | 701.36 (460.31,953.91) | 2.81 (1.84,3.82) | 258.35 (217.55,313.17) | 1.62 (1.36,1.96) | −63.16 (−75.46,−42.32) | −42.39 (−61.62,−9.78) | −2.43 (−2.74,−2.13) |
| High-income North America | 744.18 (645.81,887.81) | 1.86 (1.61,2.22) | 669.92 (597.93,769.66) | 1.48 (1.33,1.71) | −9.98 (−26.78,5.75) | −20.20 (−35.10,−6.26) | −0.81 (−0.97,−0.64) |
| North Africa and Middle East | 7739.26 (5106.98, 10,763.54) | 8.67 (5.72,12.06) | 5655.06 (4330.79, 7340.26) | 4.63 (3.54,6.01) | −26.93 (−47.43,2.36) | −46.62 (−61.60,−25.23) | −1.79 (−1.90,−1.67) |
| Oceania | 156.38 (93.40,265.19) | 9.33 (5.57,15.83) | 481.99 (275.40,804.99) | 15.32 (8.75,25.58) | 208.22 (83.99,435.81) | 64.15 (−2.01,185.36) | 2.00 (1.79,2.22) |
| South Asia | 9645.53 (5252.84, 14466.44) | 3.49 (1.90,5.24) | 10685.60 (7164.89, 13697.61) | 3.07 (2.06,3.93) | 10.78 (−19.95,52.17) | −12.14 (−36.51,20.69) | −0.35 (−0.56,−0.14) |
| Southeast Asia | 10139.93 (6697.25, 13608.44) | 9.02 (5.96,12.10) | 7409.54 (5929.89, 10132.09) | 6.37 (5.10,8.71) | −26.93 (−48.01,10.07) | −29.38 (−49.76,6.37) | −0.89 (−1.00,−0.78) |
| Southern Latin America | 382.30 (336.13,437.15) | 3.91 (3.44,4.47) | 219.76 (189.39,252.05) | 2.15 (1.85,2.47) | −42.52 (−52.80,−31.51) | −44.98 (−54.82,−34.44) | −1.69 (−1.91,−1.47) |
| Southern Sub-Saharan Africa | 1606.24 (1093.99, 2060.33) | 12.15 (8.28,15.59) | 1802.21 (1399.19, 2245.79) | 11.24 (8.72,14.00) | 12.20 (−19.54,44.87) | −7.53 (−33.69,19.40) | −0.94 (−1.35,−0.52) |
| Tropical Latin America | 3854.75 (3472.09, 4225.41) | 10.55 (9.50,11.57) | 2145.88 (1811.24, 2448.33) | 6.51 (5.49,7.42) | −44.33 (−52.81,−36.05) | −38.34 (−47.74,−29.17) | −0.92 (−1.41,−0.42) |
| Western Europe | 699.25 (610.18,827.00) | 1.45 (1.27,1.72) | 1070.00 (924.12, 1281.66) | 2.28 (1.97,2.73) | 53.02 (27.26,80.80) | 56.85 (30.44,85.32) | 1.95 (1.51,2.40) |
| Western Sub-Saharan Africa | 4213.77 (2059.93, 5914.92) | 8.08 (3.95,11.35) | 10947.43 (5457.36, 15273.82) | 8.12 (4.05,11.33) | 159.80 (97.01,240.39) | 0.48 (−23.81,31.64) | −0.02 (−0.17,0.13) |
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Taxonomy
TopicsInfective Endocarditis Diagnosis and Management · Streptococcal Infections and Treatments · Antimicrobial Resistance in Staphylococcus
Introduction
Pediatric infective endocarditis (IE) remains a rare yet severe cardiovascular infection in children, with an annual incidence below 1 case per 100,000 (1). Despite advances in treatment, contemporary studies report mortality rates ranging from 15% to 25%, alongside significant morbidity (2, 3). Clinical complications such as heart failure, embolic strokes, and organ damage are frequent in those who survive (4, 5). Once predominantly linked to rheumatic heart disease (RHD) in pediatric patients (6), the epidemiology of IE in children has evolved. Improved survival of infants with congenital heart disease (CHD) and the widespread use of invasive medical interventions have shifted pediatric IE toward a disease of iatrogenic and congenital risk factors (7). CHD has become the leading predisposing condition for pediatric IE in high-income countries (8), with 50%–70% of cases occurring in children with structural heart defects (9). Many patients are those who have undergone cardiac surgery or have indwelling intravascular devices, reflecting how advances in congenital cardiac care have inadvertently expanded the population at risk. At the same time, IE continues to affect both healthy children and those with preexisting conditions, while persisting as a complication of RHD in resource-limited settings (10). Pediatric IE, therefore, represents a small fraction of overall IE cases, but it is a frequently catastrophic disease with unique epidemiologic drivers and persistently poor outcomes.
Despite its severity, pediatric IE has been relatively neglected as a subject of global epidemiologic study. Our understanding of pediatric IE burden and trends is limited by the rarity of the disease and the paucity of comprehensive data, especially from low- and middle-income countries (LMICs). Most available literature consists of single-center case series or extrapolations from adult IE studies (11–13), which inherently constrain longitudinal and age-specific insights.
Here we present the first comprehensive global analysis of pediatric IE, addressing this evidence gap through a systematic examination of the Global Burden of Disease (GBD) 2021 data. The GBD study provides standardized estimates of disease incidence, mortality, and disability-adjusted life years (DALYs) across 204 countries and territories, over decades and by age and sex (14). Leveraging this robust dataset, we quantified the national, regional, and global burden of pediatric IE in children aged 5–14 years from 1990 to 2021, including annual case incidence, deaths, and DALYs attributable to IE. In doing so, we identified historical trends and geographic patterns in pediatric IE that have not been previously characterized on a global scale. Moreover, to anticipate future needs, we applied an autoregressive integrated moving average (ARIMA) time-series model to project pediatric IE burden through the year 2035.
In sum, quantifying the global burden of pediatric IE and its future trajectory is more than an academic exercise, it is a necessary step toward raising awareness of this rare but deadly disease, allocating resources appropriately, and ultimately improving cardiovascular outcomes for children worldwide.
Methods
Overview and methodological details
The GBD, Injuries, and Risk Factors Study 2021 analyzed 370 diseases and injuries across 204 countries and territories, reporting incidence, mortality, and DALYs (15). DALYs combine years of life lost (YLL) from premature death and years lived with disability (YLD) (16, 17), calculated as:
Data were extracted from authoritative public databases following rigorous quality control protocols (18). The GBD Collaborative Network annually updates these datasets, which undergo standardized cleaning, transformation, and modeling by participating institutions (https://www.healthdata.org/data-tools-practices/data-collection).
This study examined pediatric IEs cases, incidence, mortality, and DALYs among children aged 5–14 years from 1990 to 2021 using GBD data downloaded on December 3, 2024. Analyses stratified by sex, age, and geographical region were performed, though ethnicity and race could not be assessed due to data limitations. The methodology complied with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for observational studies (19).
Sociodemographic index
The Socio-demographic Index (SDI) quantifies regional or national socioeconomic development through a composite measure integrating economic indicators, education levels, living conditions, and social welfare systems (20). Its standardized scale (0–1) reflects developmental status, where elevated values denote greater advancement. The GBD stratifies populations into five SDI tiers—low, low-middle, middle, high-middle, and high—enabling systematic analysis of socioeconomic and geographic influences on childhood IE epidemiology.
Role of the funding source
The study funders were not involved in designing the research, collecting or analyzing data, interpreting results, or preparing the manuscript. All authors accessed the complete dataset and assume full responsibility for the publication decision.
Statistical analysis
Based on the GBD database, the incidence rate, mortality rate, and DALY rate per 100,000 population were calculated along with their 95% uncertainty intervals (UIs). The Joinpoint regression model was employed to determine the annual percentage change (APC) and its 95% confidence interval (CI), enabling evaluation of temporal trends within each independent period (21). This approach provides a detailed understanding of annual rate fluctuations, offering granular insights into year-to-year variations.
A log-transformed linear regression model was utilized to compute the estimated average annual percentage change (EAPC) and its CI, analyzing temporal trends in the incidence, mortality, and DALYs of pediatric IE from 1990 to 2021 (22). The EAPC is particularly valuable for examining long-term trends, as it untangles whether occurrence rates generally increase or decrease over time, irrespective of short-term fluctuations. An EAPC value with its lower 95% CI bound >0 indicates an upward trend for the corresponding metric, whereas an EAPC value with its upper 95% CI bound <0 signifies a downward trend.
The relationship between disease burden indicators and the SDI was analyzed using fitted curves. Autoregressive Integrated Moving Average (ARIMA) modeling was applied to project disease burden estimates for 2035 (23). All analyses were conducted using R software (version 4.4.2), with statistical significance set at p < 0.05.
Results
Global trends
Incidence
Between 1990 and 2021, the global incidence and number of IE cases among children aged 5–14 years underwent substantial changes. The estimated number of new cases decreased from 59,183 (95% UI, 38,499–88,373) in 1990 to 51,807 (95% UI, 33,497–77,897) in 2021, representing a 12.46% reduction (95% UI, −16.36% to −9.11%). Correspondingly, the global incidence rate declined from 5.29 per 100,000 (95% UI, 3.44–7.90) in 1990 to 3.83 per 100,000 (95% UI, 2.47–5.75) in 2021, a relative decrease of 27.63% (95% UI, −30.85% to −24.85%) with an EAPC of −1.37% (95% CI, −1.49% to −1.24%) (Table 1). Notably, the incidence rate initially decreased, reaching its lowest annual percent change (APC) of −2.48% (95% CI, −2.61% to −2.35%) during 2001–2010. The lowest incidence rate was recorded in 2018 at 3.69 per 100,000 (95% UI, 2.39–5.56; Figure 1A).
Annual percent change (APC) and trends in global childhood infective endocarditis incidence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. (A) Incidence rate. (B) Mortality rate. (C) DALY rate.
Mortality
Globally, annual deaths attributable to IE among children declined modestly from 799 (95% UI, 514–1,008) in 1990 to 760 (95% UI, 551–903) in 2021, reflecting a 4.93% decrease (95% UI, −21.63% to 19.95%). The mortality rate declined more sharply, from 0.07 per 100,000 (95% UI, 0.05–0.09) to 0.06 per 100,000 (95% UI, 0.04–0.07), a reduction of 21.39% (95% UI, −35.20% to −0.82%), with an EAPC of −0.64% (95% CI, −0.75% to −0.54%) (Table 2). Mortality rates exhibited a continuous downward trajectory, reaching the lowest observed APC of −3.07% (95% CI, −4.07% to −2.06%) during 2018–2021, and the lowest absolute mortality rate in 2021 (Figure 1B).
DALYs
Total global DALYs due to IE in this age group fell from 65,944.7 (95% UI, 43,484.0–82,413.1) in 1990 to 64,434.2 (95% UI, 48,112.3–76,349.7) in 2021, a 2.29% reduction (95% UI, −19.16% to 23.19%). The DALY rate dropped from 5.89 per 100,000 (95% UI, 3.89–7.36) to 4.76 per 100,000 (95% UI, 3.55–5.64), a decrease of 19.22% (95% UI, −33.17% to 1.86%) with an EAPC of −0.56% (95% CI, −0.66% to −0.46%; Table 3). This decline was particularly marked between 2016 and 2021 (APC −2.74%, 95% CI, −3.10% to −2.32%), with the lowest DALY rate observed in 2021 (Figure 1C).
Trends by sociodemographic index (SDI)
Incidence
Incidence patterns diverged across SDI quintiles. High-SDI regions experienced a modest reduction in case numbers (from 6,549 [95% UI, 4,188–10,128] to 5,349 [95% UI, 3,548–8,008]) and a slight decline in incidence rate (from 5.28 [95% UI, 3.37–8.16] to 4.51 [95% UI, 2.99–6.75] per 100,000). Notably, incidence rates decreased from 1990 to 2011 before rebounding after 2015, reaching 4.51 per 100,000 in 2021 (Figure 2A). Middle-high and middle SDI regions saw the most pronounced declines (−42.16% and −41.63%, respectively), whereas incidence rose in low-middle SDI regions by 9.28% (95% UI, 5.86–13.22%). EAPC varied, with high (−1.41%), middle-high (−2.28%), and middle (−2.12%) SDI areas experiencing significant declines, and low-middle (0.29%) and low SDI regions (−0.07%) exhibiting stable or minimal change (Table 1).
Epidemiologic trends in childhood infective endocarditis incidence, mortality, and disability-adjusted life year (DALY) rates across five sociodemographic index areas from 1990 to 2021. (A) Incidence cases and rates. (B) Death cases and rates. (C) DALYs cases and rates.
Mortality
Marked disparities emerged across SDI quintiles. High-SDI regions saw a decline in deaths (from 29 [95% UI, 26–33] to 20 [95% UI, 19–22]), while deaths in low-SDI regions nearly doubled (from 162 [95% UI, 80–228] to 299 [95% UI, 170–416]). EAPC in high (−0.98%), middle-high (−2.57%), and middle (−1.51%) SDI regions reflected greater declines, while low (−0.53%) and low-middle (−0.48%) SDI areas exhibited smaller reductions (Table 2). Throughout 1990–2021, mortality rates in low-SDI regions remained five times higher than those in high-SDI regions (Figure 2B).
DALYs
DALY trends paralleled those observed for incidence and mortality. High-SDI regions experienced a 15.74% reduction in DALYs (from 2,591 [95% UI, 2,301–2,916] to 2,183 [95% UI, 1,926–2,535]), with the steepest relative decrease in middle-high SDI regions (−55.72%, 95% UI, −68.40% to −35.20%). Conversely, DALYs in low-SDI regions surged by 87.72% (95% UI, 43.26%–168.69%). In 2021, the DALY rate in low-SDI areas was 8.41 per 100,000 (95% UI, 4.91–11.42), more than 4.6 times higher than in high-SDI regions (1.84 per 100,000, 95% UI, 1.62–2.14; Figure 2C).
Regional and national patterns
Regional incidence, mortality, and DALYs
East Asia exhibited the largest reduction in incidence (from 12.18 [95% UI, 8.20–18.24] to 4.65 [95% UI, 3.01–7.05] per 100,000), while Western Sub-Saharan Africa had the highest rate in 2021 (6.76 [95% UI, 4.87–9.34] per 100,000), with case numbers more than doubling. Incidence rates rose markedly in Eastern Europe (27.39%), Southern Latin America (44.61%), and Central Asia (13.18%), but fell in East Asia (−61.87%) and Western Sub-Saharan Africa (−21.83%). Declines in EAPC were most marked in East Asia (−3.79%) and high-income North America (−2.75%), whereas Southern Latin America (1.27%) and Eastern Europe (0.89%) displayed increasing trends (Table 1, Figures 3A, 4A).
Incidence/mortality/DALY rate of infective endocarditis in children by different years. (A) Incidence rate. (B) Mortality rate. (C) DALY rate.
Association of incidence, mortality, and disability-adjusted life year (DALY) rates of pediatric infective endocarditis with the socio-demographic Index (SDI) by region, 1990–2021. (A) Incidence rate. (B) Mortality rate. (C) DALY rate.
Incidence of infective endocarditis in children across 204 countries and territories. (A) Number of incidence cases. (B) Incidence rate. (C) Change in incident cases. World maps generated using the rnaturalearth R package, https://github.com/ropensci/rnaturalearth.
Mortality rates fell most in East Asia (−77.79%), but rose steeply in Oceania (64.25%) and Sub-Saharan Africa. The greatest reductions in EAPC were observed in East Asia (−5.68%) and high-income Asia Pacific (−3.24%), while Oceania (2.01%), the Caribbean (0.74%), and Eastern Europe (1.17%) saw increases (Table 2, Figures 3B, 4B).
DALY trends mirrored incidence and mortality, with East Asia showing the greatest decrease (−79.29%), and substantial increases in Western Sub-Saharan Africa (159.80%) and Oceania (208.22%). DALY rates rose sharply in Western Europe (56.85%) and increased in Oceania and Eastern Europe, while East Asia demonstrated the greatest decline (EAPC −5.48%; Table 3, Figures 3C, 4C).
National variation
At the national level, India (4,053 cases), China (8,416 cases), and Nigeria (4,200 cases) had the highest IE case counts in 2021. Incidence increased substantially in India and Nigeria, but declined sharply in China (−67.22%). Notably, trends in high-income countries with SDI >0.8 were heterogeneous, with declines in Norway (EAPC −2.14) and increases in Malta (EAPC 2.18). Most low-income countries (SDI <0.3) exhibited negative EAPC values (e.g., Niger, EAPC −1.23) (Figure 5A).
For mortality, the most marked decreases were observed in China (−56.10%) and Thailand, while Nigeria and Pakistan saw pronounced increases. EAPC for mortality rates correlated positively with absolute mortality, especially in middle-high SDI countries (Figure 5B).
DALY rates decreased sharply in China (−6.02%), Egypt, and Thailand, but increased in Australia, Germany, and the UK (Figure 5C). The strongest DALY increases were seen in American Samoa (EAPC 4.97). EAPC for DALY rate displayed a non-linear relationship with SDI, with higher EAPC in both some high-SDI (e.g., Germany) and certain middle-SDI (e.g., Zimbabwe) countries, but generally negative in low-SDI settings (Figures 6A–C).
Incidence, mortality, and disability-adjusted life year (DALY) rates of pediatric infective endocarditis by socio-demographic index (SDI) in 204 countries, 2021. (A) Incidence rate. (B) Mortality rate. (C) DALY rate.
Projected trends to 2035 (ARIMA analysis)
Incidence
Time series analysis using ARIMA models projected distinct trends by sex. Among males, incidence rose steadily during 1990–1996 (annual increase ∼1.0%), declined between 1997 and 2011 (annual decrease 1.4%), and stabilised thereafter, with a minor uptick post-2012. A transient peak was observed in 2020 (+3.4% over the prior year), followed by a slow projected increase, reaching 30,194 (95% CI: 22,750–37,638) by 2035.
Among females, the incidence trend was more variable, with modest growth from 1990 to 1996 (annual +0.2%), sharp decline from 1997 to 2009 (annual −2.5%), and renewed growth after 2010. Projections suggest a higher future growth rate for females (annual +1.5% during 2022–2035), but with widening uncertainty intervals. By 2035, the predicted incidence is 27,355 (95% CI: 14,973–39,736) for females.
Combined, the overall trend mimics that of males, with a projected value of 53,875 (95% CI: 39,627–68,124) in 2035. The forecast intervals broaden with time, indicating increasing long-term uncertainty (Figure 7A).
ARIMA-based forecasting of childhood infective endocarditis incidence, mortality and disability-adjusted life years (DALYs) until 2035. (A) Incident cases. (B) Number of deaths. (C) Number of DALYs.
Mortality
Projected mortality displayed sex-specific patterns. For males, mortality rose from 1990 to 1996, plateaued through 2000, and declined after 2001, reaching 407.5 in 2020. Projections indicate a renewed increase, peaking at 435.5 in 2030 before a gradual decline. Among females, mortality decreased consistently from 404.1 in 1990 to 355.9 in 2021, with projections indicating a continued annual decline to 288.9 by 2035, albeit with increasing uncertainty (Figure 7B).
DALYs
DALY projections reflected similar sex-dependent patterns. In males, DALYs increased from 1990 to 1996 (annual +1.8%), declined from 1997 to 2009 (annual −0.6%), and fluctuated thereafter, with an anomalous drop in 2020, potentially related to the COVID-19 pandemic. Projections suggest stable values between 35,000 anf 36,000 through 2035, though uncertainty intervals widen substantially (interval width 4,726.6 in 2035). In females, DALYs declined 9.4% overall (annual −0.3%), with a marked acceleration post-2008 (annual −1.1%). The projected decline continues through 2035 (predicted value 25,068; 16.8% decrease from 2021), again with expanding uncertainty (interval width 17,759.9 in 2035; Figure 7C).
Discussion
This global analysis of pediatric IE in children aged 5–14 demonstrates a significant decline in incidence, mortality, and DALYs between 1990 and 2021, though considerable regional disparities persist. Notably, progress has not been uniform across socio-demographic development levels. High-SDI regions have achieved the greatest reductions in pediatric IE rates, whereas lower-SDI regions continue to experience relatively high burdens. East Asia—primarily driven by the Chinese population—serves as a successful exemplar of rapid improvement: this region demonstrated the most pronounced decline in mortality rates (62.83%) from 1990 to 2021, which aligns with the marked reduction in DALYs during the study period. By contrast, regions such as sub-Saharan Africa and Eastern Europe have seen far more modest gains, and in some metrics, even regressions. For example, Eastern Europe experienced one of the highest increases in IE burden (as measured by DALYs) since 1990, signaling that pediatric IE remains an escalating problem there. In sub-Saharan Africa, our findings indicate a rising or at best plateauing pediatric IE burden, which aligns with broader evidence that IE morbidity and mortality in developing regions have not decreased in recent years. In aggregate, children in low-SDI settings still face a substantially higher risk of dying from IE and suffer more years of healthy life lost per infection, compared to their peers in high-SDI countries. This disparity is reflected in high DALY-to-incidence ratios in many low- and lower-middle-income countries, where limited access to diagnostics and treatment often results in poor outcomes for each case of IE.
The shifting epidemiology of pediatric IE likely reflects both improvements in underlying risk factors and emergent new risks associated with modern medical care. Historically, RHD was a dominant precursor of endocarditis in children (24); repeated streptococcal infections leading to valvular damage created a fertile ground for viridans streptococci and other bacteria to seed the heart valves (25). Today, RHD has nearly vanished in high-income countries, and even globally, its role as a predisposing factor in childhood IE has diminished with socio-economic development and widespread antibiotic use (26). Concurrently, the nature of pediatric heart disease has changed. Far more children with CHD now survive infancy and early childhood due to advances in surgery and intensive care. While this is a public health triumph, it also means a growing cohort of children living with repaired or palliated CHD who remain at risk for IE (7, 27, 28). In high-income settings, the majority of pediatric IE cases now occur in children with congenital cardiac lesions (especially those with prosthetic material or residual defects from surgery) (29, 30). The improved survival of CHD patients into mid-childhood has thus shifted the pediatric IE landscape toward healthcare-associated cases, whereas the traditional post-streptococcal (RHD-driven) endocarditis has receded in many regions.
Healthcare advances have also introduced new iatrogenic risk factors for endocarditis in children. The increased use of central venous catheters, long-term indwelling lines, and other invasive devices in pediatric intensive care and oncology has led to more cases of nosocomial IE caused by opportunistic and hospital-acquired pathogens (31). In developing countries, too, the microbiological pattern is evolving. Over the past few decades, the proportion of staphylococcal IE in low-income regions has significantly increased (from ∼15% to ∼24% of cases) while the fraction attributed to viridans streptococci has also grown with better detection (32). This likely reflects greater awareness and diagnostic capacity for IE, as well as the ongoing challenges of healthcare-associated bacteremia. Meanwhile, the decline of RHD in some regions has reduced the pool of classic streptococcal endocarditis, although RHD-related IE persists where rheumatic fever remains common. In summary, pediatric IE etiology is transitioning from a disease largely triggered by community-acquired bacteremia in predisposed hosts (RHD or unrepaired CHD) to one often driven by healthcare-related factors—survival with medical hardware, frequent hospital contact, and recurrent bacteremias in medically complex children.
The pathophysiology of IE in children mirrors that in adults and is rooted in the interplay between an altered cardiac endothelium and circulating microbes. Endocardial endothelial surfaces are normally resistant to infection, but any disruption, such as the turbulent blood flow across a malformed or damaged valve, or the presence of a foreign body (e.g., prosthetic patch or catheter), can initiate a cascade leading to IE (33). Turbulence or trauma to the endocardium causes microscopic injury and triggers the deposition of fibrin and platelets, forming a sterile thrombus known as non-bacterial thrombotic endocarditis (NBTE) (34). This fibrin-platelet matrix provides an ideal nidus for bacteria. During episodes of bacteremia, even of brief duration and mundane origin (such as tooth brushing or minor skin infections), circulating microbes can adhere to the NBTE via surface adhesin proteins (35, 36). S. aureus and Streptococcus species possess adhesins (e.g., MSCRAMMs) that bind host matrix molecules like fibrin, allowing them to latch onto injured valve tissue. Once attached, bacteria become enmeshed in the growing vegetation, which matures into a complex biofilm. Indeed, IE vegetations are essentially biofilms on the endocardium, aggregates of microorganisms encased in a self-produced extracellular matrix of platelets, fibrin, and cellular debris (37). This biofilm architecture confers remarkable protection: bacteria deep within the vegetation are metabolically quiescent and shielded from both antibiotics and host immune effectors. Even prolonged, high-dose antibiotic therapy may fail to fully eradicate these entrenched microcolonies, which explains the frequent need for surgical debridement in IE and the propensity for relapse if any infectious nidus remains (38). The host immune response, while well-intentioned, can exacerbate the pathology. Platelet activation and recruited neutrophils form extracellular traps (NETs) within the vegetation, contributing to valve tissue destruction and embolism risk (39). Thus, the pathogenesis of IE involves a vicious cycle: endothelial injury begets a thrombotic focus for infection, bacteria colonize and create a biofilm, and the ensuing immune/inflammatory reaction further damages the valve and facilitates persistent infection. These mechanisms underscore why prevention is paramount—once a mature IE vegetation has formed, it is difficult to cure and prone to cause severe complications.
Looking ahead, our time-series forecasts (using ARIMA modeling) project a potential stagnation or even modest rebound in the global pediatric IE burden by 2035. After decades of decline, the incidence of pediatric IE is predicted to plateau, and in certain regions or subpopulations, it may increase. One notable projection is a relative uptick in IE among female children. Historically, IE has been more common in males, a pattern often attributed to the higher prevalence of congenital heart anomalies in boys and possibly gender differences in healthcare exposure or behavior (40). However, our model suggests that the gap between sexes could narrow in the coming years. By 2035, the incidence and DALYs in 5–14-year-old girls are forecasted to rise slightly faster than in boys, potentially eroding the male predominance seen in past data. This finding resonates with some recent observations in adult IE: while men have higher incidence, female patients tend to have worse outcomes and increasing representation in older age groups (41). In pediatrics, a convergence might indicate that improvements that benefited male children (e.g., early intervention for critical CHD, which boys more commonly have) are now reaching female patients as well, equalizing exposure to IE risk. It could also reflect sociocultural shifts, for instance, better access to care for girls in regions where they previously faced healthcare disparities. Nonetheless, caution is warranted in interpreting this sex-specific trend. The absolute differences projected are small, and the reasons are not fully elucidated; they may partly stem from model uncertainty. Further studies are needed to see if female pediatric IE truly rises or if this is an artifact of forecasting.
This study, based on GBD 2021 estimates and forecasts, has several limitations that must be acknowledged when interpreting the results. Data quality and availability present the foremost challenge. Reliable statistics on pediatric IE are scarce in many low- and middle-income countries. GBD compensates for missing data through modeling and covariate adjustments, but these approaches can only approximate reality. If primary data are absent or of poor quality (for example, due to misclassification of IE as generic sepsis or underdiagnosis), the GBD estimates for those locations may carry substantial uncertainty. The modeling process might not capture localized outbreaks or unique risk factors. For instance, if a country has an undiagnosed increase in IE due to injection drug use among teenagers, that signal could be missed in global estimates. Coding variability is another concern: the diagnosis of “IE” can be inconsistently recorded across health systems, especially where advanced diagnostic tools are lacking. Some children who died of IE might be coded as having rheumatic fever, heart failure, or septicemia on death certificates, leading to underestimation of true IE mortality. Conversely, improvements in surveillance over time can create an artificial impression of rising incidence (detection bias). We attempted to mitigate these issues by focusing on age-specific trends and using validated modeling techniques, but the potential for bias remains.
In summary, from 1990 to 2021, the global incidence rate, mortality, and DALYs of IE in children demonstrated an overall declining trend. However, the disease burden continued to rise in certain low SDI regions. Consequently, policymakers must develop more effective prevention and control measures to reduce the disease burden of pediatric IE, improve family well-being, and alleviate socioeconomic pressures.
Conclusion
This global analysis reveals a significant decline in pediatric IE incidence, mortality, and DALY rates among children aged 5–14 years over the past 30 years, though substantial disparities persist across SDI quintiles and geographic regions. While high-middle SDI nations, notably China, have made exceptional strides, low- and middle-income regions, particularly in sub-Saharan Africa and Eastern Europe, continue to face disproportionately high or rising burdens. The results highlight critical gaps in prevention strategies, diagnostic capacity, and specialized cardiac care for children in resource-poor settings. Strengthening health systems, implementing rigorous surveillance, and formulating evidence-based policies are crucial to maintaining global gains and addressing inequities in IE outcomes. National and international child health initiatives must prioritize RHD control, CHD management, and endocarditis prophylaxis to mitigate this preventable yet devastating condition worldwide.
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