OBJECTIVES

Previous analyses of New York City (NYC) health department’s lead registry indicated that, among children with lead poisoning, an increased prevalence of sickle cell disease (SCD) exists. However, SCD is not considered a risk factor for lead poisoning. We assessed the association between SCD and childhood lead poisoning to determine if specific lead poisoning prevention efforts are needed for children with SCD.

METHODS

We analyzed NYC’s lead registry data for children with venous blood lead levels (BLLs) ≥15 mcg/dL during 2005 to 2019. t tests and χ2 tests were performed to compare demographic characteristics, BLLs, and lead exposure risks in non-Hispanic Black children with and without SCD. A t test was used to compare observed SCD prevalence among Black children with BLLs ≥15 mcg/dL with an estimated 0.43% SCD prevalence among Black NYC children.

RESULTS

Among 1728 Black children with BLLs ≥15 mcg/dL identified, 37 (2.14%) had SCD. When comparing children with and without SCD, both mean age at peak BLL (62.8 versus 42.7 months; P = .003) and peak BLL (42.59 versus 23.06 mcg/dL; P = .008) were higher for children with SCD. Among risk factors for lead exposure, children with SCD had higher prevalence of pica. Observed SCD prevalence was 1.71% higher than estimated SCD prevalence among Black NYC children (P < .001).

CONCLUSIONS

We found a potential association between SCD and childhood lead poisoning. Pica emerged as a potentially important risk factor. Our findings might have implications for lead poisoning prevention guidelines for children with SCD.

Lead poisoning is a serious condition with potentially permanent and disabling consequences, particularly for children.1,2 Although substantial improvements have been made in childhood lead exposure rates in the United States,3,4 disparities persist, with certain populations having higher rates than others. Children at highest risk for lead exposure include those from low-income households, immigrant families, those living in older or poorly maintained homes, and households with adults whose occupations or hobbies expose them to lead.5 

Sickle cell disease (SCD) is a group of inherited disorders characterized by abnormal hemoglobin molecules that cause red blood cells to develop a crescent shape, leading to chronic and sometimes debilitating or life-threatening disease.6 In New York City (NYC), previous analyses of lead registry data have suggested that, among children with blood lead levels (BLLs) ≥45 mcg/dL, an increased prevalence of SCD exists.7 Although sporadic cases of lead poisoning in children with SCD have been reported previously,8–12 this association is not widely known and SCD is not typically considered a risk factor for lead poisoning.

This investigation sought to assess the potential association between SCD and lead poisoning in children by analyzing BLL testing data for children aged 0 to 17 years during 2005 to 2019 in the NYC Department of Health and Mental Hygiene (DOHMH) lead registry, which includes case investigation information about NYC children with venous BLLs ≥15 mcg/dL. We asked 2 primary questions:

1. Among children with lead poisoning, do children with SCD have higher BLLs and increased prevalence of known risk factors for lead exposure when compared with children without SCD?

2. Is the prevalence of SCD greater in children with lead poisoning when compared with the prevalence of SCD in the general childhood population?

Our goal was to determine if NYC children with SCD are at higher risk for lead poisoning, compared with NYC children overall, which could indicate a need for tailored prevention efforts to reduce lead poisoning in NYC.

We conducted a cross-sectional study assessing children with lead poisoning in NYC during 2005 to 2019. We analyzed data from the NYC DOHMH lead registry, which includes BLL results for all NYC children aged 0 to 17 years tested for lead exposure. All of the NYC laboratories that conduct BLL testing are certified, registered, or permitted by New York State Department of Health’s Wadsworth Center.13 New York state law requires health care providers to conduct a BLL test for all children at ages 1 and 2 years, and interview caregivers to assess children for risk of lead exposure until age 6 years; the BLL testing rate in NYC is ∼80% among children aged <3 years. During 2005 to 2019, DOHMH was required by law to investigate cases of lead poisoning among children aged <18 years with venous BLLs ≥15 mcg/dL. Investigations included home inspections, risk assessment interviews with the child’s guardian, and coordination of care with the child’s health care providers by public health nurses. Information collected as part of routine surveillance and case investigations was documented in the lead registry.

For this investigation, we abstracted deidentified data from the lead registry for all NYC children aged 0 to 17 years during 2005 to 2019 with venous BLLs ≥15 mcg/dL into SQL Studio. We identified children with SCD by performing a keyword search of the health care provider reports documented by public health nurses. Each child’s medical information was then manually reviewed by a DOHMH physician to confirm SCD diagnosis (Hb SS, Hb SC, or Hb S-beta thalassemia disease); no children with sickle cell trait were classified as having SCD. Variables assessed included SCD status, BLLs, demographic characteristics (age, gender, Medicaid enrollment status, race and ethnicity, and maternal and child countries of birth), and lead exposure risk assessment data (mouthing and chewing nonfood items, pica, pervasive developmental delay, travel outside United States, use of imported products, occupations and hobbies of household members, paint inspection results, and housing age).

Although SCD can affect people of all ethnicities, it mainly persists in people with African, Mediterranean, Middle Eastern, and South Asian ancestry,6 with >90% of people with SCD in the United States identifying as non-Hispanic Black.14 Similarly, in our data set, the majority of children with SCD (n = 37) self-identified as, or were identified by their parents or caregivers as, non-Hispanic Black; the remainder identified as Hispanic (n = 4) or were missing race and ethnicity information (n = 2). Given that the number of Hispanic children with SCD was too small for meaningful statistical analysis, and that there were no children with SCD from other racial or ethnic backgrounds, we limited our analyses to children who identified as non-Hispanic Black. This was necessary to ensure the most conservative and statistically robust estimates of differences in lead exposure risk factors among children with and without SCD in our data set.

Data analyses were performed using SAS 9.4 (SAS Institute, Cary, NC). Descriptive statistics were calculated for demographic characteristics and SCD status. Two-sample t tests and χ2 tests were used to compare demographic characteristics, BLLs, and lead exposure risk factors in Black children with and without SCD. A 1-sample t test was used to compare the observed prevalence of children with SCD in Black children with BLLs ≥15 mcg/dL to the expected prevalence of children with SCD in Black children in the general NYC population.

NYC DOHMH institutional review board approval was obtained for this study. This study was reviewed by the Centers for Disease Control and Prevention and was conducted consistent with federal law and Centers for Disease Control and Prevention policy (45 Code of Federal Regulations, Part 46; 21 Code of Federal Regulations, Part 56; 42 US Code [U.S.C.], Section [Sect.] 241(d); 5 U.S.C., Sect. 552a; 44 U.S.C., Sect. 3501, et seq).

We identified 1728 non-Hispanic Black children in the lead registry with BLLs ≥15 mcg/dL during 2005 to 2019 (Table 1). Thirty-seven (2.14%) children had SCD. Among Black children with BLLs ≥15 mcg/dL, we compared demographic characteristics, BLLs, and lead exposure risk factors of children with SCD with those of children without SCD (Table 2). No significant difference was found in the percentage of children enrolled in Medicaid or living in pre-1960 housing. Notably, the mean age at peak BLL was higher for children with SCD (62.8 months [95% confidence interval (CI) 50.3–75.3] vs 42.7 months [95% CI 41.1–44.2]; P = .003). Although initial BLLs for children with SCD and children without SCD were not significantly different (11.30 mcg/dL [95% CI 5.5–17.1] vs 11.79 mcg/dL [95% CI 11.3–12.3]; P = .86), children with SCD had significantly higher peak BLLs (42.59 mcg/dL [95% CI 28.6–56.6] vs 23.06 mcg/dL [95% CI 22.5–23.6]; P = .008). Additionally, a significantly higher percentage of children with BLLs ≥45 mcg/dL, the level at which hospitalization and chelation is typically recommended, was found among those with SCD (27% [95% CI 13.8%–44.1%] vs 4.7% [95% CI 3.7%–5.8%]; P < .001). Among risk factors for lead exposure, significant differences were found when comparing Black children with and without SCD for the proportion of children reported in the parental questionnaire to be chewing nonfood items (41.4% [95% CI 23.5%–61.1%] vs 10.3% [95% CI 8.5%–12.5%]; P < .001); children reported in the parental questionnaire to be eating soil, paint, or clay (44.8% [95% CI 26.5%–64.3%] vs 15.4% [95% CI 13.1%–17.8%]; P < .001); and children with nursing notes documenting pica in their discussions with parents or providers (60% [95% CI 40.6%–77.3%] vs 18.6% [95% CI 16.3%–21.2%]; P < .001).

TABLE 1

Demographic Characteristics of Non-Hispanic Black Children With Blood Lead Levels (BLLs) ≥15 mcg/dL in New York City (NYC) Lead Registry, 2005–2019 (N = 1728)

CharacteristicNumber (%)
Gender 
 Male 972 (56.3) 
 Female 756 (43.8) 
Medicaid enrollment 
 Yes 1311 (75.9) 
 No 417 (24.1) 
Country of birth of mother 
 United States 445 (25.8) 
 Outside of United States 520 (30.1) 
 Unknown 763 (44.2) 
Country of birth of child 
 United States 852 (49.3) 
 Outside the United States 122 (7.1) 
 Unknown 754 (43.6) 
SCD status 
 SCD 37 (2.1) 
 No SCD 1691 (97.9) 
CharacteristicNumber (%)
Gender 
 Male 972 (56.3) 
 Female 756 (43.8) 
Medicaid enrollment 
 Yes 1311 (75.9) 
 No 417 (24.1) 
Country of birth of mother 
 United States 445 (25.8) 
 Outside of United States 520 (30.1) 
 Unknown 763 (44.2) 
Country of birth of child 
 United States 852 (49.3) 
 Outside the United States 122 (7.1) 
 Unknown 754 (43.6) 
SCD status 
 SCD 37 (2.1) 
 No SCD 1691 (97.9) 
TABLE 2

Comparing Demographic Characteristics, Blood Lead Levels (BLLs), and Risk Factors for Lead Exposure in Children With Sickle Cell Disease (SCD) Versus Children Without SCD Among Non-Hispanic Black Children With BLLs ≥15 mcg/dL in New York City (NYC) Lead Registry, 2005–2019

Children With SCD (N = 37)Children Without SCD (N = 1691)P
Mean/Percentage95% CIMean/Percentage95% CI
Age, mo 
 Age at first BLL test 22.9 18.0–27.8 27.9 26.3–29.4 .06 
 Age at first BLL ≥15 mcg/dL 52.0 40.4–63.7 41.0 39.5–42.6 .07 
 Age at peak BLL 62.8 50.3–75.3 42.7 41.1–44.2 .003 
BLL (mcg/dL) 
 First BLL 11.3 5.5–17.1 11.8 11.3–12.3 .86 
 First BLL ≥15 mcg/dL 27.3 22.1–32.5 21.5 21.1–22.0 .03 
 Peak BLL 42.6 28.6–56.6 23.1 22.5–23.6 .008 
 Percentage with BLL ≥45 mcg/dLa 27.0 13.8–44.1 4.7 3.7–5.8 <.001 
Risk factors, % 
 Medicaid enrollment 73.0 55.9–86.2 75.9 73.8–78.0 .68 
 Pre-1960 housing 97.1 85.1–99.9 88.8 87.2–90.3 .17 
 Lead-based paint hazards 78.1 60.0–90.7 79.2 77.0–81.2 .89 
 Recent household repairs or renovations 13.8 3.9–31.7 26.1 23.4–29.0 .13 
 Recent water-damaged paint in home 20.7 8.0–39.7 25.1 22.4–28.0 .59 
 Household members in high-risk occupations 17.2 5.9–35.8 10.8 8.9–12.9 .24 
 Foreign-born child 10.3 2.2–27.4 12.4 10.4–14.7 1.00 
 Foreign-born mother 65.5 45.7–82.1 52.4 49.1–55.6 .16 
 Travel outside United States 13.8 3.9–31.7 21.7 19.2–24.5 .31 
 Use of imported consumer products 6.9 0.9–22.8 7.8 6.2–9.7 1.00 
 Pervasive developmental delay in children age >3 y 0–40.1 3.4 1.7–6.0 1.00 
 Mouthing nonfood items 65.5 45.7–82.1 58.1 54.9–61.3 .42 
 Chewing nonfood items 41.4 23.5–61.1 10.3 8.5–12.5 <.001 
 Eats soil, paint, or clay 44.8 26.5–64.3 15.3 13.1–17.8 <.001 
 Plays outside where there is bare soil 10.3 2.2–27.4 3.24 2.2–4.6 .07 
 Pica reported in interview with nurse 60.0 40.6–77.3 18.6 16.3–21.2 <.001 
Children With SCD (N = 37)Children Without SCD (N = 1691)P
Mean/Percentage95% CIMean/Percentage95% CI
Age, mo 
 Age at first BLL test 22.9 18.0–27.8 27.9 26.3–29.4 .06 
 Age at first BLL ≥15 mcg/dL 52.0 40.4–63.7 41.0 39.5–42.6 .07 
 Age at peak BLL 62.8 50.3–75.3 42.7 41.1–44.2 .003 
BLL (mcg/dL) 
 First BLL 11.3 5.5–17.1 11.8 11.3–12.3 .86 
 First BLL ≥15 mcg/dL 27.3 22.1–32.5 21.5 21.1–22.0 .03 
 Peak BLL 42.6 28.6–56.6 23.1 22.5–23.6 .008 
 Percentage with BLL ≥45 mcg/dLa 27.0 13.8–44.1 4.7 3.7–5.8 <.001 
Risk factors, % 
 Medicaid enrollment 73.0 55.9–86.2 75.9 73.8–78.0 .68 
 Pre-1960 housing 97.1 85.1–99.9 88.8 87.2–90.3 .17 
 Lead-based paint hazards 78.1 60.0–90.7 79.2 77.0–81.2 .89 
 Recent household repairs or renovations 13.8 3.9–31.7 26.1 23.4–29.0 .13 
 Recent water-damaged paint in home 20.7 8.0–39.7 25.1 22.4–28.0 .59 
 Household members in high-risk occupations 17.2 5.9–35.8 10.8 8.9–12.9 .24 
 Foreign-born child 10.3 2.2–27.4 12.4 10.4–14.7 1.00 
 Foreign-born mother 65.5 45.7–82.1 52.4 49.1–55.6 .16 
 Travel outside United States 13.8 3.9–31.7 21.7 19.2–24.5 .31 
 Use of imported consumer products 6.9 0.9–22.8 7.8 6.2–9.7 1.00 
 Pervasive developmental delay in children age >3 y 0–40.1 3.4 1.7–6.0 1.00 
 Mouthing nonfood items 65.5 45.7–82.1 58.1 54.9–61.3 .42 
 Chewing nonfood items 41.4 23.5–61.1 10.3 8.5–12.5 <.001 
 Eats soil, paint, or clay 44.8 26.5–64.3 15.3 13.1–17.8 <.001 
 Plays outside where there is bare soil 10.3 2.2–27.4 3.24 2.2–4.6 .07 
 Pica reported in interview with nurse 60.0 40.6–77.3 18.6 16.3–21.2 <.001 

a Unit expressed as percentage (%).

When comparing the observed prevalence of SCD in Black children with BLLs ≥15 mcg/dL (2.14%) with the estimated prevalence of SCD among Black children in NYC overall (0.43%),15 the difference was statistically significant (P < .001; 95% CI 1.5%–2.9%). This difference was more pronounced when limiting the analysis to Black children with BLLs ≥15 mcg/dL born to foreign-born mothers. In this subsample, 19 of 520 children (3.65%) had SCD, whereas estimated prevalence of SCD among children born to foreign-born Black mothers in NYC is 0.63%13; this difference was statistically significant (P < .001; 95% CI 2.2%–5.7%).

Our analyses with ∼15 years of NYC lead registry data found a potential association between SCD and lead poisoning in children. Among Black children with BLLs ≥15 mcg/dL, children with SCD had significantly higher peak BLLs, as well as a higher percentage of severe lead poisoning (BLL ≥45 mcg/dL), compared with those without SCD. Furthermore, SCD was significantly more prevalent among Black children with BLLs ≥15 mcg/dL compared with the SCD prevalence estimate in Black children in NYC overall.

Children with SCD were significantly more likely to engage in both pica behavior and chewing nonfood items, compared with those without SCD. This highlights a potentially modifiable risk factor for lead poisoning in children with SCD, because pica can be treated with nutritional and behavioral interventions. Pica refers to the ingestion of nonfood items, which is similar to but distinguishable from chewing and mouthing nonfood items; all 3 behaviors are considered risk factors for lead exposure. Although no studies have assessed the prevalence of chewing or mouthing nonfood items in children with SCD, previous literature has documented a high prevalence of pica behavior in children with SCD; however, the cause remains unclear.16 

The reason for the potential association between SCD and lead poisoning among Black children in NYC is unknown. One possible explanation could be a nutritional deficiency contributing to the higher prevalence of pica, and in turn risk for lead exposure, because children with SCD are at risk for micronutrient deficiencies17; for instance, US children with SCD have been found to have lower mean zinc levels, although not generally in the zinc deficiency range, when compared with children without SCD,15 and zinc deficiency has been linked to pica.18 

Regardless of cause, our finding has significant public health and health policy implications. If a higher risk for lead poisoning in children with SCD is present, as our data suggest, then it would be important to consider raising awareness among both health care providers and caregivers of children with SCD about the potential need for more frequent BLL testing and about addressing behaviors that increase risk for lead exposure. Additionally, we found that the mean age at peak BLL in Black children with SCD was 5 years; this raises the question of whether children with SCD might need to be tested for lead poisoning at older ages than current guidelines recommend (ages 1 and 2 years).

Our investigation has several limitations. First, our data set is limited to children with BLLs ≥15 mcg/dL because this is the level at which DOHMH conducted its investigations in 2005. It is possible that the potential association between SCD and lead poisoning only exists at these BLLs. Next, SCD information in the lead registry relies on reports from health care providers, rather than documentation of laboratory results, so some children with SCD may have been missed. Additionally, the small number of children with SCD restricted our ability to assess the relative contribution of different risk factors in a multivariable model, which might have provided insights into how various factors influence the relationship between SCD and lead poisoning. Furthermore, our analysis was limited to non-Hispanic Black children because of the demographic composition of the children with SCD in our data set; thus, we were unable explore the impact of lead exposure risk factors across diverse racial and ethnic groups. Finally, the cross-sectional nature of this study prevents us from establishing a causal association.

We found a potential association between SCD and childhood lead poisoning, given both the significantly higher peak BLLs in children with SCD and the increased prevalence of SCD among children with lead poisoning compared with the general population, with pica behaviors emerging as a potentially important risk factor. This investigation could have public health implications for childhood BLL testing and lead poisoning prevention guidelines. However, further research is needed to understand this potential association more fully. In NYC, we plan to conduct a future study that links BLL data with SCD results from the New York State Newborn Screening Program; this will allow for more accurate SCD classifications, a larger cohort of children with SCD, inclusion of all racial and ethnic groups in the analyses, and multivariable analyses.

Dr Seifu conceptualized and designed the study, conducted the data analysis, and drafted the initial manuscript; Ms Sedlar conceptualized and designed the study, collected the data, and conducted the initial analyses; Ms Grant conceptualized and designed the study and conducted the initial analyses; Dr Ehrlich and Mr Faciano conceptualized and designed the study; and all authors critically reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.

BLL

blood lead level

CI

confidence interval

DOHMH

NYC Department of Health and Mental Hygiene

NYC

New York City

SCD

sickle cell disease

Sect.

Section

U.S.C.

US Code

1
Hauptman
M
,
Bruccoleri
R
,
Woolf
AD
.
An update on childhood lead poisoning
.
Clin Pediatr Emerg Med
.
2017
;
18
(
3
):
181
192
2
Landrigan
PJ
,
Goldman
LR
.
Children’s vulnerability to toxic chemicals: a challenge and opportunity to strengthen health and environmental policy
.
Health Aff (Millwood)
.
2011
;
30
(
5
):
842
850
3
Lanphear
BP
,
Lowry
JA
,
Ahdoot
S
, et al
.
Council on Environmental Health
.
Prevention of childhood lead toxicity
.
Pediatrics
.
2016
;
138
(
1
):
e20161493
4
New York City Department of Health and Mental Hygiene
.
Lead poisoning in New York City: continued decline in 2012
. Available at: https://home.nyc.gov/assets/doh/downloads/pdf/lead/lead-2012report.pdf. Accessed May 29, 2024
5
Centers for Disease Control and Prevention
.
Child lead poisoning prevention
. Available at: https://www.cdc.gov/lead-prevention/about/index.html. Accessed May 29, 2024
6
Elendu
C
,
Amaechi
D
,
Alakwe-Ojimba
C
, et al
.
Understanding sickle cell disease: causes, symptoms, and treatment options
.
Medicine (Baltimore)
.
2023
;
102
(
38
):
e35237
7
Keller
B
,
Faciano
A
,
Tsega
A
,
Ehrlich
J
.
Epidemiologic characteristics of children with blood lead levels ≥45μg/dL
.
J Pediatr
.
2017
;
180
:
229
234
8
Issaivanan
M
,
Ahmed
R
,
Shekher
M
,
Esernio-Jenssen
D
,
Manwani
D
.
Sickle cell disease and plumbism in children
.
Pediatr Blood Cancer
.
2009
;
52
(
5
):
653
656
9
Nelson
MS
,
Chisolm
JJ
.
Lead toxicity masquerading as sickle cell crisis
.
Ann Emerg Med
.
1986
;
15
(
6
):
748
750
10
Imbus
CE
,
Warner
J
,
Smith
E
,
Pegelow
CH
,
Allen
JP
,
Powars
DR
.
Peripheral neuropathy in lead-intoxicated sickle cell patients
.
Muscle Nerve
.
1978
;
1
(
2
):
168
171
11
Seeler
RA
.
Eight children with coexistent sickle cell anemia and plumbism
.
Clin Pediatr (Phila)
.
1974
;
13
(
6
):
499
501
12
Misun Jung
J
,
Peddinti
R
.
Lead toxicity in the pediatric patient with sickle cell disease: unique risks and management
.
Pediatr Ann
.
2018
;
47
(
1
):
e36
e40
13
New York State Department of Health
.
Blood lead testing information for clinical laboratories and physician office laboratories
. Available at: https://www.health.ny.gov/environmental/lead/laboratories.htm. Accessed May 29, 2024
14
Centers for Disease Control and Prevention
.
Data and statistics on sickle cell disease
. Available at: https://www.cdc.gov/sickle-cell/data/index.html. Accessed May 29, 2024
15
Wang
Y
,
Kennedy
J
,
Caggana
M
, et al
.
Sickle cell disease incidence among newborns in New York state by maternal race/ethnicity and nativity
.
Genet Med
.
2013
;
15
(
3
):
222
228
16
Rodrigues
N
,
Shih
S
,
Cohen
LL
.
Pica in pediatric sickle cell disease
.
J Clin Psychol Med Settings
.
2021
;
28
(
1
):
6
15
17
Elkhidir
IH
,
Ali
SS
,
Ali
WK
, et al
.
Zinc, magnesium, and copper levels in patients with sickle cell disease: a systematic review and meta-analysis
.
Avicenna J Med
.
2022
;
12
(
2
):
45
53
18
Miao
D
,
Young
SL
,
Golden
CD
.
A meta-analysis of pica and micronutrient status
.
Am J Hum Biol
.
2015
;
27
(
1
):
84
93

Competing Interests

CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no conflicts of interest relevant to this article to disclose.