| Literature DB >> 23735165 |
Maria Montanaro1, Raffaella Colombatti, Marisa Pugliese, Camilla Migliozzi, Fabiana Zani, Maria Elena Guerzoni, Sheila Manoli, Renzo Manara, Giorgio Meneghetti, Patrizia Rampazzo, Francesca Cavalleri, Marco Giordan, Paolo Paolucci, Giuseppe Basso, Giovanni Palazzi, Laura Sainati.
Abstract
BACKGROUND: Sickle Cell Disease (SCD) is the most common genetic disease worldwide. Neurological events are among the most worrisome clinical complications of SCD and are frequently accompanied by cognitive impairment. Intellectual function in SCD may vary according to genetic and environmental factors. Immigrant children with SCD are increasing at a global level and display specific health care needs. The aim of our multicenter study was to describe the intellectual function of first generation African immigrants with SCD and the influence of sociodemographic factors on its characteristics.Entities:
Mesh:
Year: 2013 PMID: 23735165 PMCID: PMC3704731 DOI: 10.1186/1824-7288-39-36
Source DB: PubMed Journal: Ital J Pediatr ISSN: 1720-8424 Impact factor: 2.638
Parents’ socio-demographic characteristics
| | ||||
|---|---|---|---|---|
| English-speaking African countries (Nigeria, Ghana) | 47 | 69% | | |
| French-speaking African countries (Senegal, Togo Guinea, Camerun, Congo, Burkinafaso) | 14 | 22% | | |
| Others (Portorico, Brazil, Albania) | 6 | 7.5% | | |
| Italy | 1 | 1.5% | | |
| Worker in a factory | 45 | 66.2% | 17 | 25.0% |
| Office worker | 8 | 11.8% | 20 | 29.4% |
| Job professional | 2 | 2 .9% | 0 | |
| Housewife | 0 | | 21 | 30.9% |
| Not employed | 6 | 8.8% | 6 | 8.8% |
| Not specified | 7 | 10.3% | 4 | 5.9% |
Correlations between Magnetic Resonance Imaging (MRI) and FsIQ, VIQ, PIQ
| | | | | |
| N Patients | 29 | 11 | 6 | 0.00 |
| Mean Age (years) | 9.95 | 11.41 | 9.68 | 0.41 |
| FsIQ | 89.53 | 88.54 | 72.50 | 0.26 |
| VIQ | 85.89 | 88.72 | 70 | 0.26 |
| PIQ | 94.41 | 91.18 | 81.83 | 0.41 |
| | | | | |
| N Patients | 12 | 3 | 3 | 0.07 |
| Mean Age (years) | 5.63 | 5.76 | 4.67 | 0.35 |
| FsIQ | 86.08 | 87.66 | 109.33 | 0.24 |
| VIQ | 80.83 | 78.33 | 102.66 | 0.33 |
| PIQ | 94.66 | 100 | 114.33 | 0.35 |
Figure 1Distribution of Full-scale IQ scores in children with SCD.
Detailed results of the Wechsler scales and comparison between older children (WISC-III) and younger children (WPPSI)
| | | | | | |
| Full-scale IQ | 86.9 | 16.3 | 89.6 | 15.5 | N.S. |
| Verbal IQ | 84.5 | 17.3 | 83.8 | 16.7 | N.S. |
| Performance IQ | 91.7 | 15.8 | 98 | 16.2 | N.S. |
| | | | | | |
| Information/General Culture | 7.7 | 3.2 | 8.0 | 2.7 | N.S |
| Similarities | 8.8 | 3.2 | 9.0 | 3.1 | N.S. |
| Arithmetic | 6.7 | 2.9 | 8.0 | 3.5 | N.S. |
| Vocabulary | 7.5 | 3.0 | 7.4 | 2.6 | N.S. |
| Comprehension/General Comprehension | 7.6 | 3.9 | 4.9 | 3.3 | N.S. |
| Digit Span/Phrases | 8.2 | 3.5 | N.E. | | |
| | | | | | |
| Picture Completion | 10.6 | 4.1 | 11.1 | 3.1 | N.S. |
| Coding/Animal House | 7.1 | 3.3 | 9.6 | 3.3 | N.S. |
| Picture Arrangement/Retest Animal House | 8.4 | 2.6 | N.E. | | |
| Block Design | 9.1 | 2.8 | 8.7 | 3.1 | N.S. |
| Object Assembly/ Geometric Design | 8.9 | 2.5 | 9.7 | 3.3 | N.S. |
| Symbol search | 8.5 | 3.4 | N.E. | | |
| Mazes | 9.6 | 3.8 | 8.7 | 3.1 | N.S. |
Abbreviations: N.S. Not Significant, N.E Not Evaluated.
Mean WISC-III factor scores of children with SCD compared to normal reference values
| 86 | 20.6 | >90 | |
| 95 | 20.5 | >90 | |
| 85 | 17.0 | >90 | |
| 92 | 19.6 | >90 |
Comparison of Mean FsIQ, VIQ, PIQ in different populations with sickle cell disease in Europe and USA
| USA | 8.5 | NR | 70.8-82.8-90* | 72.1-79.9-88.8* | 74.1-88.1-92.9* | NR | NR but IQ lower in children speaking two languages at home |
| Armstrong 1996 | |||||||
| USA | 13.5 | 9 | 77.3-81.1-86.7* | 79.9-77.1-85.3* | 77.3-81.1-86.7* | NR | NR |
| Wang 2001 | |||||||
| USA | 9.5 | NR | 78.6-81.1** | 74.1-84.6** | 77.5-78.9** | NR | NR |
| Steen 2003 | |||||||
| USA | 9.75 | NR | 75.05-81.91-81.67* | 79.59-88.73-85.60* | 74.73-77.73-80.80* | NR | NR |
| Brown 2000 | |||||||
| USA | 8.2 | NR | 72.7-85-90.2* | 74.2-84.6-93* | 75.5-83.3-89* | NR | NR |
| Thompson 2003 | |||||||
| USA | 10 | NR | 87.15-90.33-91.22§ | 89.56-94.86-92§ | 86.9-87.93-91.96§ | NR | 100 |
| Kral MC 2003 | |||||||
| UK | 8.73-11.58 | NR | 67.6-79-86.03* | 73.6-85.25-89.07* | 67.80-79.75-85.57* | NR | NR |
| Watkins 1998 | |||||||
| France | 5-15 | 30.7 | 83.9-82.6-86.6** | 90.4-85.8-93.3** | 80.6-83.5-82.3 | NR | NR but performed in children living in France > 2 yrs |
| Bernaudin 2000 | |||||||
| UK | infants | NR | 82.5-87.4** | BIN study early language development in infants | BIN measures of early language development in infants | 100 | BIN measures of All families spoke English, and in the majority of cases, infants were also exposed to a non-English |
| Hogan 2006 | |||||||
| The Netherlands | | | 79-80** | 80-82** | 80-77** | NR | NR |
| Hijmans 2010 | |||||||
| The Netherlands | 12.2 | 30 | 80 | 83 | 79 | 100 | 46 (immigrants from Netherland Antilles) |
| Hijmans 2011 | |||||||
| This paper | 8.9 | 25 | 86.9 | 84.5 | 91.7 | 100 | 1 |
*Clinical stroke Silent infarct on MRI- Normal MRI; **Silent Infarct on MRI Normal MRI; § Abnormal TCD-Conditional TCD-Normal TCD, NR not reported.