| Literature DB >> 36188389 |
Françoise Bernaudin1,2, Cécile Arnaud1, Annie Kamdem1, Isabelle Hau3, Fouad Madhi3, Camille Jung2, Ralph Epaud3, Suzanne Verlhac4.
Abstract
The risk of stroke in children with sickle cell disease (SCD) is detected by abnormal intracranial arterial time-averaged mean of maximum velocities (TAMVs ≥200 cm/s). Recently, extracranial internal carotid artery (eICA) arteriopathy has been reported, and a cross-sectional study showed that eICA-TAMVs ≥160 cm/s are significantly associated with eICA kinkings and stenosis. The cumulative incidence of and predictive risk factors for intracranial arteriopathy are well described in sickle cell anemia (SCA=SS/Sβ0) but are lacking for SC/Sβ+ children, as is the cumulative incidence of eICA arteriopathy. We report a prospective longitudinal cohort study including 493 children with SCD (398 SCA, 95 SC/Sβ+), all assessed by transcranial and cervical color Doppler ultrasound. Cerebral MRI/MRA data were available in 375 children with SCD and neck MRA in 365 children. eICA kinkings were defined as eICA tortuosities on neck MRA, with an internal acute angle between the two adjacent segments <90°. The median follow-up was 10.6 years. The cumulative incidence of kinkings was significantly lower in SC/Sβ+ children than in children with SCA, and no SC/Sβ+ child developed intra- or extracranial stenotic arteriopathy. The 10-year KM estimate of cumulative incidence (95% CI) for eICA-TAMVs ≥160 cm/s revealed its development in the 2nd year of life in children with SCA, reaching a plateau of 17.4% (13.2-21.6%) by about 10 years of age, while the plateau for eICA stenosis was 12.3% (8.3-16.3%). eICA assessment identified 13.5% (9.3-17.7%) patients at risk of stroke who were not detected by transcranial color Doppler ultrasound. We also show, for the first time, that in addition to a congenital origin, eICA kinkings sin patients with SCD can develop progressively with aging as a function of eICA-TAMVs, themselves related to anemia severity. Ongoing hydroxyurea treatment was significantly associated with a lower risk of abnormal intracranial arteriopathy and eICA kinkings. After adjustment with hydroxyurea, baseline low hemoglobin, high reticulocyte, and WBC counts remained independent risk factors for intracranial arteriopathy, while low hemoglobin and SEN β-haplotype number were independent risk factors for extracranial arteriopathy. The association between extracranial arteriopathy and SEN β-haplotype number suggested a genetic link between the ethnic origin and incidence of eICA kinkings. This prospective cohort study shows the importance of systematically assessing the eICA and of recording biological parameters during the 2nd year of life before any intensive therapy to predict the risk of cerebral arteriopathy and treat patients with severe baseline anemia.Entities:
Keywords: cerebral MRI/MRA; cerebral arterial stenosis; hydroxyurea; neck-MRA; sickle cell disease/anemia; silent cerebral infarct; transcranial and cervical color-Doppler; ultrasound
Year: 2022 PMID: 36188389 PMCID: PMC9515365 DOI: 10.3389/fneur.2022.846596
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.086
Baseline biological parameters in SCD patients, according to genotype (SCA vs. SC/Sb+) and beta-haplotype categories.
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| Hemoglobin level (g/dL) | 8.4 ± 1.3 | 10.4 ± 0.9 |
| 8.0 ± 1.1 | 8.6 ± 1.3 | 9.0 ± 1.6 | 9.2 ± 1.4 |
| Hematocrit (%) | 24.8 ± 4.0 | 29.9 ± 3.1 | <0.001 | 23.8 ± 3.5 | 25.4 ± 3.9 | 25.9 ± 5.9 | 26.7 ± 3.7 |
| Reticulocyte count (109/L) | 292 ± 116 | 129 ± 63 |
| 297 ± 104 | 276± 113 | 275 ± 120 | 234 ± 138 |
| WBC count (109/L) | 13.9 ± 5.0 | 8.8 ± 2.9 |
| 14.0 ± 5.2 | 13.7 ± 4.8 | 13.1 ± 5.1 | 12.0 ± 5.0 |
| Neutrophil count (109/L) | 5.3 ± 2.9 | 3.4 ± 1.5 |
| 5.5 ± 3.2 | 5.3 ± 3.0 | 4.6 ± 2.0 | 4.6 ± 2.5 |
| Platelet count (109/L) | 341 ± 116 | 321 ± 99 |
| 340 ± 120 | 356 ± 122 | 329 ± 83 | 328 ± 108 |
| MCV (fL) | 76.0 ± 9.3 | 66.0 ± 6.4 |
| 74.8 ± 11.0 | 77.0 ± 7.8 | 78.3 ± 6.7 | 71.8 ± 9.4 |
| Bilirubin (micromol/L) | 29.7 ± 16.2 | 13.2 ± 5.1 |
| 31.9 ± 15.3 | 28.2 ± 20.0 | 29.6 ± 16.5 | 21.4 ± 12.9 |
| LDH (IU/L) | 710 ± 342 | 394 ± 151 |
| 828 ± 406 | 663 ± 282 | 558 ± 233 | 549 ± 292 |
| HbF (%) | 17.1 ± 7.9 | 9.0 ± 7.8 |
| 14.1 ± 6.7 | 18.7 ± 8.2 | 21.7 ± 7.8 | 12.1 ± 8.3 |
Average biologic parameters were obtained at baseline after the age of 12 months and before the age of 3 years, a minimum of 3 months away from a transfusion, 1 month from a painful episode, and before any intensivetherapy.
Except platelet count, which is similar in SCA and SC/Sb+ children, all other parameters are highly significantly (p < 0.001) different in both populations, that is, in SCA compared to SC/Sb+ children, hemoglobin and hematocrit were lower, while WBC, neutrophils, reticulocyte counts, MCV, bilirubin, LDH, and HbF% werehigher.
Hemoglobin and hematocrit were significantly lower in patients with CAR/CAR than in those with BEN/BEN (p = 0.001) and (p = 0.005), respectively, and in patients with SEN/SEN (p = 0.001) and (p = 0.010), respectively, but were not different between BEN/BEN and SEN/SENpatients.
Hemoglobin F% was significantly lower in patients with CAR/CAR than in patients with BEN/BEN (p < 0.001) and SEN/SEN (p < 0.001) and was lower in patients with BEN/BEN than in those with SEN/SEN patients but not significantly (p =0.054).
LDH was significantly higher in patients with CAR/CAR than in those with BEN/BEN (p = 0.004) and in those with SEN/SEN (p < 0.001) and was higher in patients with BEN/BEN than in those with SEN/SEN but not significantly (p =0.051).
Thus, patients with CAR/CAR were the most anemic with the most hemolysis and with the lowest HbF%, while patients with SEN/SEN were the less anemic with the least hemolysis and had the highestHbF%.
Proportions of patients with SCD with intra- and extracranial arteriopathies according to genetic markers, baseline biologic parameters, and ongoing hydroxyurea treatment for at least 6 months at each event.
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| Genotype ( | |||||||
| SCA | 398 | 97/398 (24.4%) | 10.9% | 15.3% | 33.5% | 11.8% | 63.8% |
| SC/Sb+ | 95 | 0/95 (0%) | 0/39 (0%) | 1/95 (1.1%) | 11.6% | 0% | 98.9% |
| Gender ( | |||||||
| M | 255 | 18.4% | 8.6% | 12.5% | 33.3% | 12.2% | 72.9% |
| F | 238 | 21% | 10.1% | 12.6% | 27.9% | 8.7% | 68.1% |
| G6PD activity ( | |||||||
| normal | 376 | 18.9% | 7.0% | 12.5% | 30.2% | 8.6% | 71.3% |
| deficient | 63 | 28.6% | 15.6% | 9.5% | 26.3% | 14.0% | 65.1% |
| Alpha-Thalassemia ( | |||||||
| absent | 287 | 21.6% | 10.8% | 13.6% | 28.6% | 11.1% | 68.6% |
| present | 167 | 18.0% | 5.0% | 12.6% | 33.1% | 9.6% | 71.3% |
| Beta Haplotype ( | |||||||
| CAR/CAR | 131 | 28.2% | 11.4% | 16.8% | 30.4% | 12.3% | 58.0% |
| BEN/BEN | 91 | 26.4% | 10.4% | 13.2% | 32.3% | 10.4% | 64.8% |
| SEN/SEN | 46 | 13% | 2.6% | 23.9% | 45.9% | 17.9% | 69.6% |
| Other | 149 | 16.7% | 9.4% | 9.3% | 26.2% | 6.3% | 76.0% |
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| Hemoglobin level (g/dL) | 428 | 7.8 ± 1.2 | 7.6 ± 1.0 | 8.2 ± 1.4 | 8.3 ± 1.3 | 8.1 ± 1.2 | 9.2 ± 1.4 |
| Hematocrit (%) | 427 | 23.4 ± 3.5 | 21.7 ± 5.5 | 24.2 ± 4.0 | 24.6 ± 3.7 | 24.4 ± 3.7 | 26.9 ± 4.3 |
| Reticulocyte count (109/L) | 419 | 345 ± 134 | 369 ± 131 | 277 ± 101 | 284 ± 105 | 293 ± 99 | 230 ± 119 |
| WBC count (109/L) | 428 | 16.4 ± 5.4 | 17.7 ± 6.6 | 13.6 ± 3.9 | 13.7 ± 4.4 | 13.7 ± 5.1 | 11.7 ± 4.7 |
| Neutrophil count (109/L) | 419 | 6.3 ± 3.3 | 6.5 ± 4.0 | 5.4 ± 2.6 | 5.0 ± 2.4 | 4.9 ± 2.8 | 4.5 ± 2.5 |
| Platelet count (109/L) | 426 | 336 ± 130 | 342 ± 102 | 314 ± 105 | 337 ± 112 | 318 ± 104 | 337 ± 110 |
| MCV (fL) | 424 | 79.0 ± 7.4 | 81.9 ± 6.2 | 76.4 ± 7.7 | 75.6 ± 7.9 | 76.7 ± 8.3 | 71.9 ± 10.0 |
| Bilirubin (mmol/L) | 334 | 34.8 ± 17.7 | 30.3 ± 14.8 | 29.9 ± 13.5 | 29.5 ± 14.4 | 27.6 ± 10.9 | 23.0 ± 15.2 |
| LDH (IU/L) | 372 | 858 ± 385 | 1026 ± 412 | 662 ± 312 | 657 ± 313 | 675 ± 327 | 586 ± 311 |
| HbF (%) | 416 | 14.2 ± 6.4 | 14.5 ± 5.5 | 16.4 ± 8.4 | 16.5 ± 8.0 | 16.7 ± 7.2 | 15.5 ± 9.0 |
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| Hemoglobin <7g/dL | 40 | 21/40: 52.5% | 7/38: 18.4% | 11/40: 27.5% | 12/35: 34.3% | 5/35: 14.3% | 11/40: 27.5% |
| WBC count > 20 x 109/L | 38 | 20/38: 52.6% | 8/34: 23.5% | 5/38: 13.2% | 9/32: 28.1% | 5/33: 15.1% | 15/38: 39.5% |
| Reticulocyte count > 400 x 109/L | 54 | 21/54: 38.9% | 8/45: 17.8% | 6/54: 11.1% | 13/41: 31.7% | 4/43: 9.3% | 28/54: 51.9% |
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| 143/493 | 102/375 | 216/493 | 169/365 | 206/365 | NA | |
| Event on ongoing HU treatment | 12/143: 8.4% | 11/102: 5.4% | 22/216: 10.2% | 36/169: 21.3% | 13/206: 6.3% | NA | |
Figure 1Flowchart of the newborn SCD cohort study systematically assessed by transcranial and cervical color Doppler ultrasound.
Figure 2Comparative cumulative incidence of intra- and extracranial arteriopathies in SCA vs SC/Sb+ children and according to TAMV. (A) Intracranial TAMV ≥ 200 cm/s. (B) Intracranial stenosis. (C) Intracranial stenosis according to a history of TAMV (< or ≥ 200 cm/s). Of note, among the 13 patients with stenosis but no history of TAMVs ≥200 cm/s, 10 had a history of conditional TAMV (170–199 cm/s), one had no temporal window with underlying severe intracranial arteriopathy, one had a stroke related to extracranial arteriopathy, and no obvious reason was found in one patient.
Figure 3Comparative cumulative incidence of eICA arteriopathy in SCA vs SC/Sb+ children and according to TAMV. (A) eICA ≥ 160 cm/s. (B) eICA kinkings. (C) eICA kinkings according to eICA TAMV (< or ≥ 160 cm/s). (D) eICA stenosis. (E) eICA stenosis according to eICA TAMV (< or ≥ 160 cm/s).
Figure 4Cumulative incidence of intra- and extracranial arteriopathies in SCD children according to ongoing hydroxyurea treatment at each event. (A) Intracranial TAMV ≥ 200 cm/s. (B) Intracranial stenosis. (C) eICA kinking. (D) eICA-TAMV ≥ 160 cm/s. (E) eICA stenosis.
Predictive risk factors for intra- and extracranial arteriopathies in patients with SCD.
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| Gender F vs. M | >0.2 | >0.2 | >0.2 | >0.2 | >0.2 | |||||
| G6PD deficiency | 1.610 (0.960–2.703) | 0.071 | 2.347 (1.048–5.236) |
| >0.2 | >0.2 | >0.2 | |||
| Alpha-Thalassemia | >0.2 | 0.436 (0.190–1.002) | 0.051 | >0.2 | >0.2 | >0.2 | ||||
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| Beta Haplotype | ||||||||||
| Car | 1.415 (1.137–1.760) |
| 1.351 (0.946–1.930) | 0.098 | 1.280 (0.939–1.744) | 0.118 | >0.2 | >0.2 | ||
| Ben | >0.2 | >0.2 | >0.2 | >0.2 | >0.2 | |||||
| Sen | 0.624 (0.423–0.921) |
| >0.2 | 1.311 (0.904–1.901) | 0.154 | 1.330 (1.027–1.723) |
| 1.579 (1.027–2.427) |
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| Hemoglobin level (g/dL) | 0.196 (0.101–0.382) |
| 0.461 (0.336–0.633) |
| 0.683 (0.554–0.843) |
| 0.774 (0.671–0.894) |
| 0.721(0.551–0.945) |
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| Hematocrit (%) | 0.888 (0.863–0.914) |
| 0.871 (0.832–0.911) |
| 0.901 (0.851–0.953) |
| 0.925 (0.887–0.965) |
| 0.929 (0.862–1.002) | 0.055 |
| Reticulocyte count (109/L) | 1.006 (1.004–1.007) |
| 1.007 (1.004–1.009) |
| 1.002 (1.000–1.004) | 0.077 | 1.002 (1.001–1.004) |
| 1.002 (0.999–1.005) | 0.126 |
| WBC count (109/L) | 1.149 (1.111–1.187) |
| 1.145 (1.086—1.206) |
| 1.038 (0.984–1.095) | 0.167 | >0.2 | >0.2 | ||
| Neutrophil count (109/L) | 1.152 (1.090–1.217) |
| 1.119 (1.014-1.235) |
| 1.077 (0.978–1.185) | 0.131 | >0.2 | >0.2 | ||
| Platelet count (109/L) | >0.2 | >0.2 | 0.198 | >0.2 | >0.2 | |||||
| MCV (fL) | 1.069 (1.043–1.095) |
| 1.089 (1.043–1.137) |
| 1.030 (0.997–1.063) | 0.072 | >0.2 | >0.2 | ||
| Bilirubin (mmol/L) | 1.030 (1.018–1.042) |
| >0.2 | 1.015 (0.998-1.032) | 0.079 | 1.011 (0.998–1.025) | 0.085 | >0.2 | ||
| LDH (IU/L) | 1.001 (1.001–1.002) |
| 1.002 (1.001–1.003) |
| >0.2 | >0.2 | >0.2 | |||
| HbF (%) | >0.2 | >0.2 | 0.2 | 1.019 (0.995-1.043) | 0.115 | >0.2 | ||||
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| Hemoglobin <7g/dL | 5.525 (3.247–9.346) |
| 2.278 (0.853-6.060) | 0.100 | 2.247 (1.033–4.878) |
| >0.2 | >0.2 | ||
| WBC count > 20 x 109/L | 5.236 (3.115–8.772) |
| 3.363 (1.558-8.621) |
| >0.2 | >0.2 | >0.2 | |||
| Reticulocyte count > 400 x 109/L | 3.817 (2.299–6.329) |
| 3.559 (1.541–8.264) |
| >0.2 | >0.2 | >0.2 | |||
Univariate Cox regression analysis after adjustment with ongoing hydroxyurea treatment at each event. Levels of thresholds used were the 10th percentile for hemoglobin (7.0 g/dL) and near the 90th percentile for WBC (19.7 x 109/L) and reticulocyte counts (422 x 109/L) but rounded for easier clinicaluse.
The bold values indicates the significant P-values (<0.05).
Figure 5Comparison of cumulative incidence of intra- and extracranial TAMV and kinkings according to homozygous beta-haplotype category and outcome of hemoglobin level and HbF% in non-intensified children according to the three beta-haplotypes categories. (A) Cumulative incidence of intracranial TAMV ≥ 200 cm/s according to homozygous beta-haplotypes category. (B) Cumulative incidence of eICA kinkings according to homozygous beta-haplotypes category. (C) Outcome of hemoglobin level during aging in non-intensified patients (not on hydroxyurea, or on chronic transfusion, or transplanted) according to homozygous beta-haplotypes category. (D) Outcome of HbF% level during aging in non-intensified patients according to homozygous beta-haplotypes category. These values were recorded at annual checkup in non-intensified children with SCA. While mean hemoglobin remained relatively stable during aging in children with BEN/BEN and CAR/CAR, hemoglobin decreased in children with SEN/SEN between 5 and 10 years of age before significantly increasing thereafter. Thus, children with SEN/SEN were the most anemic between 5 and 10 years of age and the less anemic after 15 years of age. This age period corresponds with the occurrence of abnormal TAMV and eICA kinkings in patients with SEN/SEN.