Metabolic syndrome in childhood cancer survivors: delta BMI a risk factor in lower-middle-income countries

Longitudinal changes in body mass index, height, and weight in children with acute myeloid leukemia

BACKGROUND

This study reported height prediction and longitudinal growth changes in Chinese pediatric patients with acute myeloid leukemia (AML) during and after treatment and their associations with outcomes.

METHODS

Changes in 88 children with AML in percentages according to the growth percentile curve for Chinese boys/girls aged 2-18/0-2 years for body mass index (BMI), height, and weight from the time of diagnosis to 2 years off therapy were evaluated. The outcomes of AML were compared among patients with different BMI levels.

RESULTS

The proportion of underweight children (weight < 5th percentile) increased significantly from the initial diagnosis to the end of consolidation treatment. The proportion of patients with low BMI (BMI < 5th percentile) was highest (23.08%) during the consolidation phase, and no children were underweight, but 20% were overweight (BMI > 75th percentile) after 2 years of drug withdrawal. Unhealthy BMI at the initial diagnosis and during intensive chemotherapy leads to poorer outcomes. For height, all patients were in the range of genetic height predicted based on their parents' height at final follow-up.

CONCLUSIONS

Physicians should pay more attention to the changes in height and weight of children with AML at these crucial treatment stages and intervene in time.

Modifiable Cardiometabolic Risk Factors in Survivors of Childhood Cancer: JACC: CardioOncology State-of-the-Art Review

The growing community of childhood cancer survivors faces a heavy burden of late onset morbidities and mortality, with cardiovascular diseases being the leading noncancer cause. In addition to demographics and cancer treatment exposures, which cannot be altered, cardiometabolic risk factors (obesity, hypertension, diabetes, and dyslipidemia) and frailty potentiate the risk of morbidity and mortality associated with chronic health conditions. Important opportunities exist to target these risk factors and improve late health outcomes for survivors. Unfortunately, limited evidence exists on the optimal methods to prevent, screen, and treat cardiometabolic risk factors among survivors, resulting in significant underdiagnosis and undertreatment. In this review, we discuss the prevalence of, risk factors for, current survivor-specific recommendations, and gaps in knowledge to mitigate potentially modifiable cardiometabolic risk factors and frailty among survivors of childhood cancer.

Anthropometric parameters as a tool for the prediction of metabolic and cardiovascular risk in childhood brain tumor survivors

PURPOSE

To assess the prevalence of alterations in anthropometric parameters predictive of metabolic syndrome and cardiovascular risk among childhood brain tumor survivors.

METHODS

Anthropometric parameters predictive of metabolic syndrome and cardiovascular risk were analyzed [height, weight, BMI, waist circumference, hip circumference, waist-height ratio (WHtR), waist-hip ratio (WHR, blood pressure] of 25 patients who survived childhood brain tumors.

RESULTS

21 patients (84%) showed alteration of at least one predictive anthropometric parameter. 11 patients (44%) showed a BMI > 75th percentile and 19 patients (76%) showed a pathological WHR value. A pathological WHtR (> 0.5), was identified in 17 patients (68%); the average WHtR observed was 0.53. 9 patients (36%) showed an alteration of all three anthropometric parameters considered. Comparing this subpopulation with the subpopulation with less than three altered parameters, a greater prevalence of the combined alteration was observed in the female sex compared to the male sex (67% vs. 26%). No significant differences were observed regarding the age of diagnosis and end of treatment nor the treatments carried out (chemotherapy, radiotherapy, steroid therapy) between the two groups.

CONCLUSION

These results suggest that this population is at high risk of presenting pathological values of BMI, WHR and WHtR with consequent high risk of developing metabolic syndrome and cardiovascular diseases.

Physical late effects of treatment among survivors of childhood cancer in low- and middle-income countries: a systematic review

PURPOSE

Physical late effects of treatment are well-documented among childhood cancer survivors in high-income countries, but whether prevalence and risk factors are comparable in low- and middle-income countries (LMICs) is unclear. We conducted a systematic review to assess physical late effect outcomes among childhood cancer survivors in LMICs.

METHODS

Five health sciences databases were searched from inception to November 2022 in all languages. We included observational studies conducted in LMICs that evaluated physical late effects of treatment in childhood cancer survivors. Mean or median cohort follow-up must have been ≥ 5 years from original cancer diagnosis.

RESULTS

Sixteen full articles and five conference abstracts were included. Studies were conducted in lower-middle (n = 12, 57%) or upper-middle income (n = 9, 43%) countries; nearly half (n = 9, 43%) were conducted in India. Five cohorts (24%) were comprised entirely of 5-year survivors. Subsequent malignant neoplasms were reported in 0-11% of survivors (n = 10 studies). Hypothyroidism and metabolic syndrome prevalence ranged from 2-49% (n = 4 studies) and 4-17% (n = 5 studies), respectively. Gonadal dysfunction ranged from 3-47% (n = 4 studies). Cardiac dysfunction ranged from 1-16% (n = 3 studies). Late effects of the musculoskeletal and urinary systems were least investigated.

CONCLUSIONS

Substantial knowledge gaps exist in LMIC childhood cancer survivorship. No low-income country data were found. In middle-income countries, late effects were defined and assessed variably and limited by selection bias and small sample sizes.

IMPLICATIONS FOR CANCER SURVIVORS

Survivors in LMICs can experience physical late effects of treatment, though additionally systematically collected data from survivor cohorts are needed to fill knowledge gaps.