Contribution of genetic disorders to neonatal mortality in a regional intensive care setting

Whole genome sequencing as a first-tier diagnostic test for infants in neonatal intensive care units: A pilot study in Brazil

In this pilot study, we aimed to evaluate the feasibility of whole genome sequencing (WGS) as a first-tier diagnostic test for infants hospitalized in neonatal intensive care units in the Brazilian healthcare system. The cohort presented here results from a joint collaboration between private and public hospitals in Brazil considering the initiative of a clinical laboratory to provide timely diagnosis for critically ill infants. We performed trio (proband and parents) WGS in 21 infants suspected of a genetic disease with an urgent need for diagnosis to guide medical care. Overall, the primary indication for genetic testing was dysmorphic syndromes (n = 14, 67%) followed by inborn errors of metabolism (n = 6, 29%) and skeletal dysplasias (n = 1, 5%). The diagnostic yield in our cohort was 57% (12/21) based on cases that received a definitive or likely definitive diagnostic result from WGS analysis. A total of 16 pathogenic/likely pathogenic variants and 10 variants of unknown significance were detected, and in most cases inherited from an unaffected parent. In addition, the reported variants were of different types, but mainly missense (58%) and associated with autosomal diseases (19/26); only three were associated with X-linked diseases, detected in hemizygosity in the proband an inherited from an unaffected mother. Notably, we identified 10 novel variants, absent from public genomic databases, in our cohort. Considering the entire diagnostic process, the average turnaround time from enrollment to medical report in our study was 53 days. Our findings demonstrate the remarkable utility of WGS as a diagnostic tool, elevating the potential of transformative impact since it outperforms conventional genetic tests. Here, we address the main challenges associated with implementing WGS in the medical care system in Brazil, as well as discuss the potential benefits and limitations of WGS as a diagnostic tool in the neonatal care setting.

Wales Infants' and childreN's Genome Service (WINGS): providing rapid genetic diagnoses for unwell children

INTRODUCTION

This study reviews the first 3 years of delivery of the first National Health Service (NHS)-commissioned trio rapid whole genome sequencing (rWGS) service for acutely unwell infants and children in Wales.

METHODS

Demographic and phenotypic data were prospectively collected as patients and their families were enrolled in the Wales Infants' and childreN's Genome Service (WINGS). These data were reviewed alongside trio rWGS results.

RESULTS

From April 2020 to March 2023, 82 families underwent WINGS, with a diagnostic yield of 34.1%. The highest diagnostic yields were noted in skeletal dysplasias, neurological or metabolic phenotypes. Mean time to reporting was 9 days.

CONCLUSION

This study demonstrates that trio rWGS is having a positive impact on the care of acutely unwell infants and children in an NHS setting. In particular, the study shows that rWGS can be applied in an NHS setting, achieving a diagnostic yield comparable with the previously published diagnostic yields achieved in research settings, while also helping to improve patient care and management.

Exome and Whole Genome Sequencing in the Neonatal Intensive Care Unit

The role of genomic sequencing (exome and whole genome) in the neonatal intensive care unit (NICU) has changed with advances in technology and bioinformatics in the last decade. Evidence from 18 retrospective and prospective studies of exome and whole genome sequencing in pediatric intensive care settings has demonstrated an average diagnostic yield of close to 40% and an immediate impact on clinical management in more than 20% of patients tested, and the highest clinical utility was in the perinatal setting. Genomic sequencing, when indicated, should be the standard of care for patients in the NICU.

Medical costs of children admitted to the neonatal intensive care unit: The role and possible economic impact of WES in early diagnosis

It has been estimated that at least 6.0% of neonates admitted to the Neonatal Intensive Care Unit remains genetically undiagnosed because genetic testing is not routinely performed. The objective of this study is to provide an overview of average healthcare costs for patients admitted to the Neonatal Intensive Care Unit and to assess possible impact of implementing Whole Exome Sequencing (WES) on these total healthcare costs. Hereto, we retrospectively collected postnatal healthcare data of all patients admitted to the level IV Neonatal Intensive Care Unit at the Radboudumc (October 2013-October 2015) and linked unit costs to these healthcare consumptions. Average healthcare costs were calculated and a distinction between patients was made based on performance of genetic tests and the presence of congenital anomalies. Overall, on average €26,627 was spent per patient. Genetic costs accounted for 2.3% of all costs. Healthcare costs were higher for patients with congenital anomalies compared to patients without congenital anomalies. Patients with genetic diagnostics were also more expensive than patients without genetic diagnostics. We next modelled four scenarios based on clinical preselection. First, when performing trio-WES for all patients instead of current diagnostics, overall healthcare costs will increase with 22.2%. Second, performing trio-WES only for patients with multiple congenital anomalies will not result in any cost changes, but this would leave patients with an isolated congenital anomalies untested. We therefore next modelled a scenario performing trio-WES for all patients with congenital anomalies, increasing the average per patient healthcare costs by 5.3%. This will rise to a maximum of 5.5% when also modelling for an extra genetic test for clinically selected patients to establish genetic diagnoses that are undetectable by WES. In conclusion, genetic diagnostic testing accounted for a small fraction of total costs. Implementation of trio-WES as first-tier test for all patients with congenital anomalies will lead to a limited increase in overall healthcare budget, but will facilitate personalized treatments options guided by the diagnoses made.

Congenital anomalies and genetic disorders in neonates and infants: a single-center observational cohort study

Neonates with genetic disorders or congenital anomalies (CA) contribute considerably to morbidity and mortality in neonatal intensive care units (NICUs). The objective of this study is to study the prevalence of genetic disorders in an academic level IV NICU. We retrospective collected and analyzed both clinical and genetic data of all 1444 infants admitted to the NICU of the Radboudumc (October 2013 to October 2015). Data were collected until infants reached at least 2 years of age. A total of 13% (194/1444) of the patients were genetically tested, and 32% (461/1444) had a CA. A total of 37% (72/194) had a laboratory-confirmed genetic diagnosis. In 53%, the diagnosis was made post-neonatally (median age = 209 days) using assays including exome sequencing. Exactly 63% (291/461) of the patients with CA, however, never received genetic testing, despite being clinically similar those who did.Conclusions: Genetic disorders were suspected in 13% of the cohort, but only confirmed in 5%. Most received their genetic diagnosis in the post-neonatal period. Extrapolation of the diagnostic yield suggests that up to 6% of our cohort may have remained genetically undiagnosed. Our data show the need to improve genetic care in the NICU for more inclusive, earlier, and faster genetic diagnosis to enable tailored management. What is Known: • Genetic disorders are suspected in many neonates but only genetically confirmed in a minority. • The presence of a genetic disorder can be easily missed and will often lead to a diagnostic odyssey requiring extensive evaluations, both clinically and genetically. What is New: • Different aspects of the clinical features and uptake of genetic test in a NICU cohort. • The need to improve genetic care in the NICU for more inclusive, earlier, and faster genetic diagnosis to enable tailored management.

The Unrecognized Mortality Burden of Genetic Disorders in Infancy

Objectives. To determine how deaths of infants with genetic diagnoses are described in national mortality statistics. Methods. We present a retrospective cohort study of mortality data, obtained from the National Death Index (NDI), and clinical data for 517 infants born from 2011 to 2017 who died before 1 year of age in the United States. Results. Although 115 of 517 deceased infants (22%) had a confirmed diagnosis of a genetic disorder, only 61 of 115 deaths (53%) were attributed to International Classification of Diseases, 10th Revision codes representing congenital anomalies or genetic disorders (Q00-Q99) as the underlying cause of death because of inconsistencies in death reporting. Infants with genetic diagnoses whose underlying causes of death were coded as Q00-Q99 were more likely to have chromosomal disorders than monogenic conditions (43/61 [70%] vs 18/61 [30%]; P < .001), which reflects the need for improved accounting for monogenic disorders in mortality statistics. Conclusions. Genetic disorders, although a leading cause of infant mortality, are not accurately captured by vital statistics. Public Health Implications. Expanded access to genetic testing and further clarity in death reporting are needed to describe properly the contribution of genetic disorders to infant mortality.

Genetics and pediatric hospital admissions, 1985 to 2017

PURPOSE

To determine the prevalence and sociodemographic and hospitalization history of genetic conditions in a sample of inpatients in a pediatric hospital in 2017, and to compare results with unpublished studies from 1985, 1995, and 2007.

METHODS

Two weeks of admissions were classified according to a pre-existing categorization, based on genetic etiology, encompassing chromosomal and monogenic conditions, multifactorial (MF) conditions, and no known genetic cause.

RESULTS

In 2017, 299 (16%) patients had chromosomal or monogenic conditions, 6-7% more than 2007 and 1995, but similar to 1985. Autosomal dominant (AD) conditions increased from <2% previously to 6% in 2017 (p < 0.001). MF conditions comprised the majority throughout, increasing from 45% to 54%. Age at admission was highest in autosomal recessive (AR) and X-linked categories in 1995, 2007, and 2017, reflected in their high number of previous admissions, while the AD, MF, and nongenetic categories were the youngest with similar lengths of stay and previous admissions.

CONCLUSION

Conditions with a genetic contribution account for over half of pediatric inpatients. Since 1985, there have been many changes in age at admission and length of stay, but it is the increasing prevalence of AR, AD, and MF conditions that is important when considering future service provision.

Infant mortality: the contribution of genetic disorders

OBJECTIVE

To determine the proportion of infant deaths occurring in the setting of a confirmed genetic disorder.

STUDY DESIGN

A retrospective analysis of the electronic medical records of infants born from 1 January, 2011 to 1 June, 2017, who died prior to 1 year of age.

RESULTS

Five hundred and seventy three deceased infants were identified. One hundred and seventeen were confirmed to have a molecular or cytogenetic diagnosis in a clinical diagnostic laboratory and an additional seven were diagnosed by research testing for a total of 124/573 (22%) diagnosed infants. A total of 67/124 (54%) had chromosomal disorders and 58/124 (47%) had single gene disorders (one infant had both). The proportion of diagnoses made by sequencing technologies, such as exome sequencing, increased over the years.

CONCLUSIONS

The prevalence of confirmed genetic disorders within our cohort of infant deaths is higher than that previously reported. Increased efforts are needed to further understand the mortality burden of genetic disorders in infancy.

Critical Trio Exome Benefits In-Time Decision-Making for Pediatric Patients With Severe Illnesses

OBJECTIVES

Critical illnesses caused by undiagnosed genetic conditions are challenging in PICUs. Whole-exome sequencing is a powerful diagnostic tool but usually costly and often fail to arrive at a final diagnosis in a short period. We assessed the feasibility of our whole-exome sequencing as a tool to improve the efficacy of rare diseases diagnosis for pediatric patients with severe illness.

DESIGN

Observational analysis.

METHOD

We employed a fast but standard whole-exome sequencing platform together with text mining-assisted variant prioritization in PICU setting over a 1-year period.

SETTING

A tertiary referral Children's Hospital in Taiwan.

PATIENTS

Critically ill PICU patients suspected of having a genetic disease and newborns who were suspected of having a serious genetic disease after newborn screening were enrolled.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Around 50,000 to 100,000 variants were obtained for each of the 40 patients in 5 days after blood sampling. Eleven patients were immediately found be affected by previously reported mutations after searching mutation databases. Another seven patients had a diagnosis among the top five in a list ranked by text mining. As a whole, 21 patients (52.5%) obtained a diagnosis in 6.2 ± 1.1 working days (range, 4.3-9 d). Most of the diagnoses were first recognized in Taiwan. Specific medications were recommended for 10 patients (10/21, 47.6%), transplantation was advised for five, and hospice care was suggested for two patients. Overall, clinical management was altered in time for 81.0% of patients who had a molecular diagnosis.

CONCLUSIONS

The current whole-exome sequencing algorithm, balanced in cost and speed, uncovers genetic conditions in infants and children in PICU, which helps their managements in time and promotes better utilization of PICU resources.

The burden of rare diseases

The subject of rare disease numbers is rife with misconceptions, not just in websites and other layman's literature, but also in the medical literature. Various websites mention numbers that are not validated by any solid data, while in turn the medical literature cites the aforementioned websites as sources, thus perpetuating a number of myths about rare diseases and their burden. We review the existing literature on rare disease numbers, in an attempt to demystify the subject. Specifically, we summarize data pertaining to: (a) known number and cumulative prevalence of rare diseases; (b) rare disease-associated mortality; (c) rare disease-associated morbidity, including numbers on health care services related to rare diseases; and (d) orphan drug numbers.

Peri-mortem evaluation of infants who die without a diagnosis: focus on advances in genomic technology

Infants who die within the first weeks to months of life may have genetic disorders, though many die without a confirmed diagnosis. Non-genetic conditions may also be responsible for unexplained infant deaths, and the diagnosis may be reliant upon studies performed in the peri-mortem period. Neonatologists, obstetricians, or pediatricians caring for these children and their families may be unsure of which investigations can and should be performed in the setting of a newborn or infant who is dying or has died. Recent advances in genomic sequencing technology may provide additional diagnostic options, though the interpretation of genetic variants discovered by this technique may be contingent upon clinical phenotype information that is obtained peri-mortem or upon autopsy. We have reviewed the current literature concerning the evaluation of an unexplained neonatal or infantile demise and synthesized a diagnostic approach, with a focus on the contribution of new and emerging genomic technologies.

Genetic disorders and mortality in infancy and early childhood: delayed diagnoses and missed opportunities

PURPOSE

Infants admitted to a level IV neonatal intensive care unit (NICU) who do not survive early childhood are a population that is probably enriched for rare genetic disease; we therefore characterized their genetic diagnostic evaluation.

METHODS

This is a retrospective analysis of infants admitted to our NICU between 1 January 2011 and 31 December 2015 who were deceased at the time of records review, with age at death less than 5 years.

RESULTS

A total of 2,670 infants were admitted; 170 later died. One hundred six of 170 (62%) had an evaluation for a genetic or metabolic disorder. Forty-seven of 170 (28%) had laboratory-confirmed genetic diagnoses, although 14/47 (30%) diagnoses were made postmortem. Infants evaluated for a genetic disorder spent more time in the NICU (median 13.5 vs. 5.0 days; p = 0.003), were older at death (median 92.0 vs. 17.5 days; p < 0.001), and had similarly high rates of redirection of care (86% vs. 79%; p = 0.28).

CONCLUSION

Genetic disorders were suspected in many infants but found in a minority. Approximately one-third of diagnosed infants died before a laboratory-confirmed genetic diagnosis was made. This highlights the need to improve genetic diagnostic evaluation in the NICU, particularly to support end-of-life decision making.

Use of Exome Sequencing for Infants in Intensive Care Units: Ascertainment of Severe Single-Gene Disorders and Effect on Medical Management

Importance

While congenital malformations and genetic diseases are a leading cause of early infant death, to our knowledge, the contribution of single-gene disorders in this group is undetermined.

Objective

To determine the diagnostic yield and use of clinical exome sequencing in critically ill infants.

Design, Setting, and Participants

Clinical exome sequencing was performed for 278 unrelated infants within the first 100 days of life who were admitted to Texas Children's Hospital in Houston, Texas, during a 5-year period between December 2011 and January 2017. Exome sequencing types included proband exome, trio exome, and critical trio exome, a rapid genomic assay for seriously ill infants.

Main Outcomes and Measures

Indications for testing, diagnostic yield of clinical exome sequencing, turnaround time, molecular findings, patient age at diagnosis, and effect on medical management among a group of critically ill infants who were suspected to have genetic disorders.

Results

The mean (SEM) age for infants participating in the study was 28.5 (1.7) days; of these, the mean (SEM) age was 29.0 (2.2) days for infants undergoing proband exome sequencing, 31.5 (3.9) days for trio exome, and 22.7 (3.9) days for critical trio exome. Clinical indications for exome sequencing included a range of medical concerns. Overall, a molecular diagnosis was achieved in 102 infants (36.7%) by clinical exome sequencing, with relatively low yield for cardiovascular abnormalities. The diagnosis affected medical management for 53 infants (52.0%) and had a substantial effect on informed redirection of care, initiation of new subspecialist care, medication/dietary modifications, and furthering life-saving procedures in select patients. Critical trio exome sequencing revealed a molecular diagnosis in 32 of 63 infants (50.8%) at a mean (SEM) of 33.1 (5.6) days of life with a mean (SEM) turnaround time of 13.0 (0.4) days. Clinical care was altered by the diagnosis in 23 of 32 patients (71.9%). The diagnostic yield, patient age at diagnosis, and medical effect in the group that underwent critical trio exome sequencing were significantly different compared with the group who underwent regular exome testing. For deceased infants (n = 81), genetic disorders were molecularly diagnosed in 39 (48.1%) by exome sequencing, with implications for recurrence risk counseling.

Conclusions and Relevance

Exome sequencing is a powerful tool for the diagnostic evaluation of critically ill infants with suspected monogenic disorders in the neonatal and pediatric intensive care units and its use has a notable effect on clinical decision making.

[Results of clinical and genetic diagnosis of rare diseases in the Eastern region of Hungary (2007-2013)]

INTRODUCTION

80% of rare diseases have a genetic origin, and 50% manifest themselves as congenital anomalies. Their adequate health care includes early recognition of genetic anomalies and prevention of recurrence.

AIM

The aims of the authors were to provide correct diagnoses to patients with multiple congenital anomalies with or without mental retardation attending to the outpatient clinic of the Clinical Genetics Center at the University of Debrecen in the time interval between August 1, 2007 and March 31, 2013, establish the possibility of prenatal diagnosis, assess the distribution of different genetic mechanisms in the background of rare genetic diseases, compare them with international data, and develop an algorithm for the diagnostic approach of rare genetic diseases applicable in Hungary.

METHOD

Clinical data and genetic results of patients were evaluated, and patients were categorized into one of the ten proposed etiological groups, based on which the distribution of genetic causes was defined.

RESULTS

Clinical diagnosis was achieved in 64.3% of patients, confirmed genetic diagnosis in 37.8%, while 35.7% of patients remained undiagnosed. Several dysmorphic syndromes and metabolic disorders were first diagnosed in Hungary, two of which unique in the literature.

CONCLUSIONS

In the centre of the authors the diagnostic effectiveness of chromosome aberrations exceeds the international standards, that of known microdeletions and dysmorphic syndromes meets international data, and the genetic diagnosis of mendelian disorders and submicroscopic copy number changes remain below international figures.

Proportion of malformations and genetic disorders among cases encountered at a high-care unit in a children's hospital

Genetic disorders and birth defects account for a high percentage of the admissions in children's hospitals. Congenital malformations and chromosomal abnormalities are the most common causes of infant mortality. So their effects pose serious problems for perinatal health care in Japan, where the infant mortality is very low. This paper describes the reasons for admissions and hospitalization at the high-care unit (HCU) of a major tertiary children's referral center in Japan. We retrospectively reviewed 900 admission charts for the period 2007-2008 and found that genetic disorders and malformations accounted for a significant proportion of the cases requiring admission to the HCU. Further, the rate of recurrent admission was higher for patients with genetic disorders and malformations than for those with acquired, non-genetic conditions. Over the past 30 years, admissions attributed to genetic disorders and malformations has consistently impacted on children's hospital and patients with genetic disorders and malformations form a large part of this facility. These results reflect improvements in medical care for patients with genetic disorders and malformations and further highlight the large proportion of cases with genetic disorders, for which highly specialized management is required. Moreover, this study emphasizes the need for involvement of clinical geneticists in HCUs at children's hospitals.

Predictors of mortality and length of stay for neonates admitted to children's hospital neonatal intensive care units

OBJECTIVE

Current scoring systems, which adjust prediction for severity of illness, do not account for higher observed mortality in neonatal intensive care units (NICUs) of children's hospitals than that of perinatal centers. We hypothesized that three potential predictors, (a) admission from another NICU, (b) presence of congenital anomalies and (c) need for surgery, would modify expected mortality and/or length of stay for infants admitted to NICUs in children's hospitals.

STUDY DESIGN

We reviewed consecutive admissions to two NICUs in children's hospitals in Canada. We performed regression analyses to evaluate these potential predictors and severity-of-illness indices for the outcomes of mortality and length of stay.

RESULT

Of 625 neonatal admissions, transfer from another NICU, congenital anomalies requiring admission and surgery were identified in 371 (59%). Using logistic regression, mortality was predicted based on admission from another NICU (odds ratio (OR) 1.92; 95% confidence interval (CI) 1.04, 3.57), congenital anomalies (OR 7.28; 95% CI 3.69, 14.36) and a validated severity-of-illness score, the Score for Neonatal Acute Physiology Perinatal Extension Version II (SNAPPE-II; OR 1.07; 95% CI 1.05, 1.09 per point). By contrast, surgical intervention was predictive of survival (OR 0.35; 95% CI 0.18, 0.67). Length of stay >or=21 days was predicted by SNAPPE-II (OR 1.02; 95% CI 1.01, 1.03 per point), congenital anomalies (OR 2.47; 95% CI 1.60, 3.79) and surgery (OR 2.73; 95% CI 1.77, 4.21).

CONCLUSION

Fair performance comparisons of NICUs with different case-mixes, such as children's hospital and perinatal NICUs, in addition to severity-of-illness indices, should account for admissions from another NICU, congenital anomalies and surgery.

Genetic contribution to high neonatally lethal malformation rate in the United Arab Emirates

OBJECTIVES

We examined the contribution of genetic disorders to congenital anomalies (CA) causing neonatal deaths in the Al Ain Medical District (AMD) in the United Arab Emirates (UAE) because of the high consanguineous marriage rate in the community.

METHODS

Charts of all neonatal deaths in the three perinatal units, which accounted for 99% of all births in AMD (1992-2000), were studied. Data regarding pregnancy, a family history including the level of parental consanguinity, the results of genetic evaluations and neonatal outcomes were recorded as part of an ongoing malformation surveillance system. Causes of death were based on clinical, laboratory and imaging findings.

RESULTS

Of the 508 neonates who died, 212 (42%) had CA, which were the leading cause of death. Forty-four percent of the CA were due to definite genetic disorders and 75% of these were single gene defects. Multisystem malformations were the commonest congenital malformations. Parental consanguinity was associated with a 2-fold increased risk of non-chromosomal multisystem malformations.

CONCLUSIONS

Lethal malformations were the leading cause of neonatal deaths, and parental consanguinity was associated with an increased risk of autosomal recessive disorders. The results underscore the importance of genetic screening and counseling in strategies for further significant reductions in the neonatal mortality rate in the UAE.

Contribution of malformations and genetic disorders to mortality in a children's hospital

Malformations and genetic disorders are the leading cause of infant mortality in the US. Many malformations have a genetic basis due to genic, chromosomal, or multifactorial causation. We have studied the proportion of pediatric cases in a university-affiliated children's hospital that died of malformations and genetic disorders. We reviewed, retrospectively, deaths over a 4 year period (1994-1998) at Primary Children's Medical Center (PCMC), a university-affiliated tertiary children's referral hospital in Utah. The age at death and the cause of death were recorded for each case. We analyzed 523 cases; 180 (34.4%) deaths were due to malformations and genetic disorders. Of those 180, 30 (16.7%) had chromosome anomalies, 21 (11.7%) had a recognizable malformation syndrome, 118 (65.6%) had a malformation of unknown cause, and 11 (6.1%) had some other genetic disorder. One hundred and twenty-two (23.3%) deaths were due to trauma (accidental and non-accidental). Seventy-nine (15.1%) deaths were due to short gestation or perinatal complications. Forty-five (8.6%) deaths were due to an infectious disease and 45 (8.6%) from neoplasms. Thirteen (2.5%) were diagnosed for sudden infant death "syndrome." Twelve (2.3%) patients with malformations and/or genetic disorders died of an acquired condition not clearly related to the underlying disorder. Seven (1.3%) patients died of an unknown cause and 20 (3.8%) patients died of other specified conditions. In addition, 51.0% patients (age <1 year) died of a malformation and/or genetic disorder. Genetic disorders and malformations are a substantial cause of mortality in a referral pediatric hospital. Knowledge of the impact of genetic diseases on mortality is important for the integration of preventive measures and health care strategies to care effectively for patients and their families. This information emphasizes the importance of further study of whether or not early recognition influences mortality rate and management.

Deaths associated with renal agenesis: a population-based study of birth prevalence, case ascertainment, and etiologic heterogeneity

We report on deaths associated with renal agenesis among 211,704 consecutive births. Sources included birth and death certificates and an active birth defects surveillance system. Medical review and classification of cases were performed for 1985-1990 events. Sixty-one cases of renal agenesis were identified, and review of records was possible for 59 of the 61 cases. Of these 59 cases, 36 (61%) were confirmed, 5 (8%) were questionable, and 18 (31%) were incorrectly coded. The prevalence of confirmed cases is thus estimated at 17/100,000 births (14.2/100,000 births, excluding elective terminations and fetal deaths). Records incorrectly coded were most often those with multicystic dysplasia. Approximately one-third of cases was found by the birth defects surveillance system alone, confirming the utility of this data source for prevalence estimates. Isolated renal agenesis accounted for 44% of confirmed cases; other diagnoses included VATER association (19%), unrecognized multiple malformation syndromes (17%), exstrophy of the cloaca sequence (14%), and chromosome disorders (6%). Based on these data, prevalence rates for ICD code 753.0 and death include overascertainment of cases from erroneous coding of multicystic dysplasia and underascertainment of cases with unilateral renal agenesis associated with other malformations. Population-based ascertainment of cases by active surveillance methods and rigorous diagnostic coding standards are required to improve the accuracy of these rates. Targeted investigations of distinct subclassifications will be necessary to identify specific etiologic factors.