Kabir Jalal

Early infantile Krabbe disease: results of the World-Wide Krabbe Registry

New York State began screening for Krabbe disease in 2006 to identify infants with Krabbe disease before symptom onset. Because neither galactocerebrosidase activity nor most genotypes reliably predict phenotype, the World Wide Registry was developed to determine whether other clinical/neurodiagnostic data could predict early infantile Krabbe disease in the newborn screening population. Data on disease course, galactocerebrosidase activity, DNA mutations, and initial neurodiagnostic studies in 67 symptomatic children with early infantile Krabbe disease were obtained from parent questionnaires and medical records. Initial signs included crying/irritability, cortical fisting, and poor head control. Galactocerebrosidase activity was uniformly low. Eight of 17 manifested novel mutations. Ninety-two percent (n = 25) exhibited elevated cerebrospinal fluid protein; 76% (n = 42) demonstrated abnormal magnetic resonance images; 67% (n = 15) exhibited abnormal computed tomography findings; 43% (n = 28) produced abnormal electroencephalogram findings; 100% (n = 5) demonstrated abnormal nerve conduction velocities; 83% (n = 6) produced abnormal brainstem evoked responses; and 50% (n = 6) exhibited abnormal visual evoked responses. One, 2, and 3 year survivals were 60%, 26%, and 14%, respectively. Although most symptomatic patients with the early infantile phenotype manifested abnormal cerebrospinal fluid protein, magnetic resonance imaging, brainstem evoked responses, and nerve conduction velocities, studies of affected children may be normal. Other biomarkers are needed to predict phenotype in the newborn screening population.

Later Onset Phenotypes of Krabbe Disease: Results of the World-Wide Registry

The majority of newborns screening positive for Krabbe disease have not exhibited the expected early infantile phenotype, with most clinically normal despite low galactocerebrosidase activity and two mutations. Most are expected to develop the later onset phenotypes. The World-Wide Krabbe Registry was developed in part to expand our understanding of the natural history of these rare variants. As of June 2011, 122 patients were enrolled in the registry: 62% manifested early infantile onset (previously reported), 10% manifested onset at 7-12 months (late infantile), 22% manifested onset at 13 months to 10 years (later onset), and 5% manifested adolescent/adult onset. Data on disease course, galactocerebrosidase activity, DNA mutations, and results of neurodiagnostic studies were obtained from questionnaires and medical records. Initial signs (late infantile) included loss of milestones and poor feeding, whereas later onset and adolescent/adult phenotypes presented with changes in gait. Elevated cerebrospinal fluid protein and abnormal magnetic resonance imaging results were present in most, but not all, patients at diagnosis. Phenotypic variability occurred in four sibships. Five-year and 10-year survivals for all later onset phenotypes were at least 50%. The later onset Krabbe phenotypes differ from those with early infantile disease, but no specific predictor of phenotype was identified.

The Hunter's Hope Krabbe Family Database

The objective was to identify presenting signs and symptoms, age at onset of symptoms and diagnosis, and survival in a large population of children with Krabbe disease. In 1997, Hunters Hope Foundation began collecting clinical data on patients who had been diagnosed with Krabbe disease. As of June 2006, 334 families had returned questionnaires. Deidentified data were analyzed, including country of origin, sex, age at onset of symptoms, symptoms before diagnosis, age at diagnosis, symptoms after diagnosis, initial diagnosis, and survival. Seventy-one percent of patients developed symptoms at 0 to 6 months of age, 19% between 7 and 12 months, and 10% at 13 months + (13 months-5.5 years). The most common initial symptoms for age 0 to 12 months were crying and irritability, stiffness, and seizures. Older children were more likely to present with gait disturbances or loss of milestones. Survival differed according to age at onset of symptoms. Children with the early infantile phenotype (onset 0 to 6 months) had significantly worse survivals than either those with onset at 7 to 12 months or at 13 months to 5.5 years. Given that neither galactocerebrosidase activity nor mutation analysis reliably predict disease severity, the data from this study should help investigators recognize the earliest symptoms of the disease, as well as increase awareness of age of onset and natural history of the various phenotypes.

Does Galactocerebrosidase Activity Predict Krabbe Phenotype

This study sought to determine whether galactocerebrosidase activity is predictive of Krabbe onset age, or of survival from onset when controlling for age at onset of signs. We analyzed data on 55 symptomatic patients from the Hunter James Kelly Research Institutes World-Wide Registry. They were tested for galactocerebrosidase activity at Jefferson Medical College (Philadelphia, PA), using survival models in a path model context. Higher galactocerebrosidase activity was predictive of later symptom onset times (P = 0.0011), but did not predict survival after symptom onset (P = 0.9064) when controlling for the logarithm of age at onset. No child with early infantile (aged 0-6 months) phenotype demonstrated galactocerebrosidase activity >0.1 nmol/hour/mg protein. Survival times within a given phenotype did not vary with galactocerebrosidase activity. Although low galactocerebrosidase activity does not predict phenotype, higher activity in the abnormal range (>0.1 nmol/hour/mg protein in this sample) was not identified in the early infantile variant. Galactocerebrosidase activity may be important to consider when predicting phenotype in the newborn screening population. Our findings provide empiric evidence that the upper end (0.15 nmol/hour/mg protein) of the high-risk galactocerebrosidase group in the New York State newborn screening program is conservatively appropriate.

Can psychosine and galactocerebrosidase activity predict early-infantile Krabbe's disease presymptomatically?

Krabbes disease (KD) is a fatal neurodegenerative disorder, with the early‐infantile form (EIKD) defined by onset of symptoms before age 6 months. Early and highly accurate identification of EIKD is required to maximize benefits of hematopoietic stem cell transplantation treatment. This study investigates the potential for accurate prediction of EIKD based on a novel newborn screening (NBS) tool developed from two biomarkers, galactocerebrosidase (GALC) enzyme activity and galactosylsphingosine concentration (psychosine [PSY]). Normative information about PSY and GALC, derived from distinct samples of normal newborns, was used to develop the novel diagnostic tool. Bivariate normal limits (BVNL) were constructed, assuming a multivariate normal distribution of natural logarithms of GALC and PSY of normal newborns. The (lnGALC, lnPSY) points for newborns in various “abnormal groups,” including one group of infants who subsequently suffered EIKD, were plotted on a graph of BVNL. The points for all EIKD patients fell outside of BVNL (100% sensitivity). In a simulation study to compare the false‐positive rate of existing univariate methods of diagnosis with our new BVNL‐based method, we generated 100 million normal newborn data points. All fell within BVNL (i.e., zero false positives), whereas 5,682 false positives were observed when applying a two‐tiered univariate method of the type suggested in the literature. These results suggest that (lnGALC, lnPSY) BVNLs will allow highly accurate prediction of EIKD, whereas two‐tiered univariate approaches will not. Redevelopment of the BVNL based on GALCs and PSYs measured on a common large sample of normal newborns is required for NBS use.

Mortality incidence estimation using federal death certificate and natality data with an application to Tay-Sachs disease.

For confidentiality reasons, US federal death certificate data are incomplete with regards to the dates of birth and death for the decedents, making calculation of total lifetime of a decedent impossible and thus estimation of mortality incidence difficult. This paper proposes the use of natality data and an imputation-based method to estimate age-specific mortality incidence rates in the face of this missing information. By utilizing previously determined probabilities of birth, a birth date and death date are imputed for every decedent in the dataset. Thus, the birth cohort of each individual is imputed, and the total on-study time can be calculated. This idea is implemented in two approaches for estimation of mortality incidence rates. The first is an extension of a person-time approach, while the second is an extension of a life table approach. Monte Carlo simulations showed that both approaches perform well in comparison to the ideal complete data methods, but that the person-time method is preferred. An application to Tay-Sachs disease is demonstrated. It is concluded that the imputation methods proposed provide valid estimates of the incidence of death from death certificate data without the need for additional assumptions under which usual mortality rates provide valid estimates.