Risks and benefits of anesthesia for combined pediatric procedures in the NIH undiagnosed diseases program.

PURPOSE: The NIH Undiagnosed Diseases Program (UDP) aims to provide diagnoses to patients who have previously received exhaustive evaluations yet remain undiagnosed. Patients undergo procedural anesthesia for deep phenotyping for analysis with genomic testing. METHODS: A retrospective chart review was performed to determine the safety and benefit of procedural anesthesia in pediatric patients in the UDP. Adverse perioperative events were classified as anesthesia-related complications or peri-procedural complications. The contribution of procedures performed under anesthesia to arriving at a diagnosis was also determined. RESULTS: From 2008 to 2020, 249 pediatric patients in the UDP underwent anesthesia for diagnostic procedures. The majority had a severe systemic disease (American Society for Anesthesiology status III, 79%) and/or a neurologic condition (91%). Perioperative events occurred in 45 patients; six of these were attributed to anesthesia. All patients recovered fully without sequelae. Nearly half of the 249 patients (49%) received a diagnosis, and almost all these diagnoses (88%) took advantage of information gleaned from procedures performed under anesthesia. CONCLUSIONS: The benefits of anesthesia involving multiple diagnostic procedures in a well-coordinated, multidisciplinary, research setting, such as in the pediatric UDP, outweigh the risks.

Risk factors and consequences of undiagnosed cesarean scar pregnancy: a cohort study in China.

BACKGROUND: The historically high cesarean section rate and the recent change in second-child policy could increase the risk of cesarean scar pregnancy (CSP) in China. This study aims to assess risk factors and consequences of undiagnosed CSP in China. METHODS: We conducted a retrospective cohort study between January 2013 and December 2017 in Qingyuan, Guangdong, China. Independent risk factors for undiagnosed CSP at the first contact with healthcare providers were assessed by log binomial regression analysis. Occurrence of serious complications was compared between undiagnosed and diagnosed CSP cases. RESULTS: A total of 195 women with CSP were included in the analysis. Of them, 81 (41.5%) women were undiagnosed at the first contact with healthcare providers. Women initially cared in primary or secondary hospitals were at increased risk for undiagnosed CSP: adjusted relative risks (95% confidence intervals) were 3.28 (2.06, 5.22) and 1.91 (1.16, 3.13), respectively, compared with women initially cared in the tertiary hospital. Undiagnosed CSP cases had higher incidences in serious complications (11 versus 0) and post-surgery anemia (23 (28.4%) versus 8 (7.0%)), stayed longer in hospital, and cost higher than diagnosed CSP cases. CONCLUSIONS: Initial care provided at primary or secondary maternity care facilities is an important risk factor for undiagnosed CSP, with serious consequences to the affected women.

Prevalence and Risk Factors for Undiagnosed Glucose Intolerance Status in Apparently Healthy Young Adults Aged <40 Years: The Korean National Health and Nutrition Examination Survey 2014-2017.

Background: Early-onset diabetes results in longer lifetime hyperglycemic exposure that consequently leads to earlier chronic diabetes complications and premature death. The aim of this study was to quantify the prevalence and risk factors of undiagnosed diabetes and undiagnosed prediabetes in apparently healthy young adults aged <40 years. Methods: This study used data from the Korean National Health and Nutrition Examination Survey, a cross-sectional, nationally representative survey conducted by the Korean Ministry of Health and Welfare from 2014 to 2017. A total of 4442 apparently healthy young adults enrolled in this study. Multivariate logistic regression analyses were conducted separately to evaluate associated risk factors with undiagnosed diabetes and undiagnosed prediabetes in groups stratified by sex. Results: The prevalence of undiagnosed diabetes and undiagnosed prediabetes was 1.2% and 25.0%, respectively. Obesity (body mass index ≥ 30.0 kg/m2) was a significant risk factor of undiagnosed diabetes regardless of sex (men, odds ratio (OR): 9.808, 95% confidence interval (CI): 1.619-59.412; women, OR: 7.719, 95% CI: 1.332-44.747). Family history of diabetes was significantly associated with undiagnosed diabetes (OR: 3.407, 95% CI: 1.224-9.481) in women only. Increased age, obesity status, and family history of diabetes were significant risk factors for undiagnosed prediabetes. Alcohol consumption was found to be negatively associated with undiagnosed prediabetes in women. Conclusions: Increased attention and implementation of precise strategies for identifying young adults at high risk for undiagnosed diabetes would allow for increased wellbeing as well as reduced healthcare burdens associated with diabetes.

Reported environmental exposures are inversely associated with obtaining a genetic diagnosis in the Undiagnosed Diseases Network.

The Undiagnosed Diseases Network (UDN) aims to achieve a unifying etiologic diagnosis for patients with mysterious conditions. Although the UDN has focused on the identification of genetic determinants, environmental etiologies may be causative or modifying agents that interact with predisposing genes. We developed and implemented a screening questionnaire to assess environmental exposures in UDN patients. We hypothesized that patients with potentially adverse environmental exposures would be less likely to have a genetic basis for their undiagnosed disease. Among seven postnatal environmental exposure categories assessed in 269 UDN participants, patients with a confirmed or strong candidate genetic diagnosis were significantly less likely to report exposures to metals, dust, or chemicals (p < 0.05). A composite variable of the seven exposure categories was substantially more common (40%) in patients without a genetic diagnosis than in those with a genetic diagnosis (18.4%) (p = 0.004). In multivariable analysis adjusting for age and sex, the composite variable of any positive environmental exposure was associated with a reduced odds of finding a genetic diagnosis (OR 0.41, 95% CI 0.18-0.96, p = 0.04). These results were generally robust to exclusion of patients with early life disease onset. Our results suggest a possible approach to increase the yield of genetic etiologies for adult undiagnosed diseases by first focusing on patients without significant environmental exposures. Still, there is ample reason to expect cases in which specific environmental exposures impact the risk of clinically evident genetic disease. Our findings emphasize the importance of systematic investigations of potential environmental risk factors for undiagnosed diseases.