Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records.

PURPOSE: Current approaches to accurately identify immune-related adverse events (irAEs) in large retrospective studies are limited. Large language models (LLMs) offer a potential solution to this challenge, given their high performance in natural language comprehension tasks. Therefore, we investigated the use of an LLM to identify irAEs among hospitalized patients, comparing its performance with manual adjudication and International Classification of Disease (ICD) codes. METHODS: Hospital admissions of patients receiving immune checkpoint inhibitor (ICI) therapy at a single institution from February 5, 2011, to September 5, 2023, were individually reviewed and adjudicated for the presence of irAEs. ICD codes and an LLM with retrieval-augmented generation were applied to detect frequent irAEs (ICI-induced colitis, hepatitis, and pneumonitis) and the most fatal irAE (ICI-myocarditis) from electronic health records. The performance between ICD codes and LLM was compared via sensitivity and specificity with an α = .05, relative to the gold standard of manual adjudication. External validation was performed using a data set of hospital admissions from June 1, 2018, to May 31, 2019, from a second institution. RESULTS: Of the 7,555 admissions for patients on ICI therapy in the initial cohort, 2.0% were adjudicated to be due to ICI-colitis, 1.1% ICI-hepatitis, 0.7% ICI-pneumonitis, and 0.8% ICI-myocarditis. The LLM demonstrated higher sensitivity than ICD codes (94.7% v 68.7%), achieving significance for ICI-hepatitis (P < .001), myocarditis (P < .001), and pneumonitis (P = .003) while yielding similar specificities (93.7% v 92.4%). The LLM spent an average of 9.53 seconds/chart in comparison with an estimated 15 minutes for adjudication. In the validation cohort (N = 1,270), the mean LLM sensitivity and specificity were 98.1% and 95.7%, respectively. CONCLUSION: LLMs are a useful tool for the detection of irAEs, outperforming ICD codes in sensitivity and adjudication in efficiency.

Identification of Immune Checkpoint Inhibitor-Induced Diabetes.

Importance: Immune checkpoint inhibitors (ICIs) have revolutionized cancer care; however, accompanying immune-related adverse events (irAEs) confer substantial morbidity and occasional mortality. Life-threatening irAEs may require permanent cessation of ICI, even in patients with positive tumor response. Therefore, it is imperative to comprehensively define the spectrum of irAEs to aid individualized decision-making around the initiation of ICI therapy. Objective: To define incidence, risk factors, and clinical spectrum of an irreversible and life-threatening irAE: ICI-induced diabetes. Design, Setting, and Participants: This cohort study, conducted at an academic integrated health care system examined 14 328 adult patients treated with ICIs, including 64 patients who developed ICI-induced diabetes, from July 2010 to January 2022. The data were analyzed from 2022 to 2023. Cases of ICI-induced diabetes were manually confirmed; detailed clinical phenotyping was performed at diagnosis and 1-year follow-up. For 862 patients, genotyping data were available, and polygenic risk for type 1 diabetes was determined. Main Outcomes and Measures: For ICI-induced diabetes cases and controls, demographic characteristics, comorbidities, tumor category, and ICI category were compared. Among ICI-induced diabetes cases, markers of glycemic physiology were examined at diagnosis and 1-year follow-up. For patients with available genotyping, a published type 1 diabetes polygenic score (T1D GRS2) was calculated. Results: Of 14 328 participants, 6571 (45.9%) were women, and the median (range) age was 66 (8-106) years. The prevalence of ICI-induced diabetes among ICI-treated patients was 0.45% (64 of 14 328), with an incidence of 124.8 per 100 000 person-years. Preexisting type 2 diabetes (odds ratio [OR], 5.91; 95% CI, 3.34-10.45) and treatment with combination ICI (OR, 2.57; 95% CI, 1.44-4.59) were significant clinical risk factors of ICI-induced diabetes. T1D GRS2 was associated with ICI-induced diabetes risk, with an OR of 4.4 (95% CI, 1.8-10.5) for patients in the top decile of T1D GRS2, demonstrating a genetic association between spontaneous autoimmunity and irAEs. Patients with ICI-induced diabetes were in 3 distinct phenotypic categories based on autoantibodies and residual pancreatic function, with varying severity of initial presentation. Conclusions and Relevance: The results of this analysis of 14 328 ICI-treated patients followed up from ICI initiation determined the incidence, risk factors and clinical spectrum of ICI-induced diabetes. Widespread implementation of this approach across organ-specific irAEs may enhance diagnosis and management of these conditions, and this becomes especially pertinent as ICI treatment rapidly expands to treat a wide spectrum of cancers and is used at earlier stages of treatment.

Large discordance between creatinine-based and cystatin C-based estimated glomerular filtration rates is associated with falls, hospitalizations, and death in older adults.

BACKGROUND: Estimated glomerular filtration rate (eGFR) calculated using creatinine and cystatin C often differ in older adults. We hypothesized that older adults with cystatin-based eGFR (eGFRcys) values significantly lower than creatinine-based eGFR (eGFRcr) values may have higher risk for aging-related adverse outcomes, independent of kidney function. METHODS: We conducted a longitudinal cohort study of adults ≥65 years old from the Health and Retirement Study, a cohort of older American adults, to determine the relationship between eGFR discordance and aging-related adverse outcomes. We calculated eGFRcr and eGFRcys using baseline creatinine and cystatin C measurements. A large eGFR discordance was defined as eGFRcys >30% lower than eGFRcr. We assessed four aging-related adverse outcomes over a two-year follow-up: falls, hip fractures, hospitalizations, and death. We fit separate multivariable regression models to determine the association between having a large eGFR discordance and each outcome adjusting for confounders including kidney function. RESULTS: Of 5574 older adults, 1683 (30%) had a large eGFR discordance. Those with a large eGFR discordance were more likely to be older, female, and White. The prevalence of a large eGFR discordance increased with age, from 20% among those 65-69 years to 44% among those 80 years and older. Over a two-year follow-up, there were 305 deaths (5.5%), 2013 falls (39.2%), 69 hip fractures (1.3%), and 1649 hospitalizations (32.2%). In adjusted analyses, large eGFR discordance was associated with a higher hazard ratio for death (HR 1.43, 95% CI 1.12-1.82) and significantly higher odds of falls (odds ratio [OR] 1.32, 95% CI 1.16-1.51) and hospitalizations (OR 1.32, 95% CI 1.15-1.51). A large eGFR discordance was not associated with hip fractures. CONCLUSION: In a large, nationally representative cohort of older adults, prevalence of eGFR discordance increased with age and was associated with higher risk of falls, hospitalization, and death, independent of kidney function.

Imaging kidney inflammation using an oxidatively activated MRI probe.

Imaging tools for kidney inflammation could improve care for patients suffering inflammatory kidney diseases by lessening reliance on percutaneous biopsy or biochemical tests alone. During kidney inflammation, infiltration of myeloid immune cells generates a kidney microenvironment that is oxidizing relative to normal kidney. Here, we evaluated whether magnetic resonance imaging (MRI) using the redox-active iron (Fe) complex Fe-PyC3A as an oxidatively activated probe could serve as a marker of kidney inflammation using mouse models of unilateral ischemia-reperfusion injury (IRI) and lupus nephritis (MRL-lpr mice). We imaged unilateral IRI in gp91phox knockout mice, which are deficient in the nicotinamide oxidase II (NOX2) enzyme required for myeloid oxidative burst, as loss of function control, and imaged MRL/MpJ mice as non-kidney involved lupus control. Gadoterate meglumine was used as a non-oxidatively activated control MRI probe. Fe-PyC3A safety was preliminarily examined following a single acute dose. Fe-PyC3A generated significantly greater MRI signal enhancement in the IRI kidney compared to the contralateral kidney in wild-type mice, but the effect was not observed in the NOX2-deficient control. Fe-PyC3A also generated significantly greater kidney enhancement in MRL-lpr mice compared to MRL/MpJ control. Gadoterate meglumine did not differentially enhance the IRI kidney over the contralateral kidney and did not differentially enhance the kidneys of MRL-lpr over MRL/MpJ mice. Fe-PyC3A was well tolerated at the highest dose evaluated, which was a 40-fold greater than required for imaging. Thus, our data indicate that MRI using Fe-PyC3A is specific to an oxidizing kidney environment shaped by activity of myeloid immune cells and support further evaluation of Fe-PyC3A for imaging kidney inflammation.

Efficacy and Safety of Remdesivir in People With Impaired Kidney Function Hospitalized for COVID-19 Pneumonia: A Randomized Clinical Trial.

BACKGROUND: Few antiviral therapies have been studied in patients with COVID-19 and kidney impairment. Herein, efficacy, safety, and pharmacokinetics of remdesivir, its metabolites, and sulfobutylether-beta-cyclodextrin excipient were evaluated in hospitalized patients with COVID-19 and severe kidney impairment. METHODS: In REDPINE, a phase 3, randomized, double-blind, placebo-controlled study, participants aged ≥12 years hospitalized for COVID-19 pneumonia with acute kidney injury (AKI), chronic kidney disease (CKD), or kidney failure were randomized 2:1 to receive intravenous remdesivir (200 mg on Day 1; 100 mg daily up to Day 5) or placebo (enrollment: March 2021-March 2022). The primary efficacy endpoint was the composite of all-cause mortality or invasive mechanical ventilation (IMV) through Day 29. Safety was evaluated through Day 60. RESULTS: Although enrollment concluded early, 243 participants were enrolled and treated (remdesivir, n = 163; placebo, n = 80). At baseline, 90 (37.0%) participants had AKI (remdesivir, 60; placebo, 30), 64 (26.3%) had CKD (remdesivir, 44; placebo, 20), and 89 (36.6%) had kidney failure (remdesivir, 59; placebo, 30); 31 (12.8%) were COVID-19 vaccinated. Composite all-cause mortality or IMV through Day 29 was 29.4% and 32.5% in the remdesivir and placebo group, respectively (P = 0.61). Treatment-emergent adverse events were reported in 80.4% versus 77.5% and serious adverse events in 50.3% versus 50.0% of participants who received remdesivir versus placebo, respectively. Pharmacokinetic plasma exposure to remdesivir was not affected by kidney function. CONCLUSIONS: Although underpowered, no significant difference in efficacy was observed between treatment groups. REDPINE demonstrated that remdesivir is safe in those with COVID-19 and severe kidney impairment. (EudraCT number: 2020-005416-22; Clinical Trials.gov number: NCT04745351). TRIAL REGISTRATION: EudraCT number: 2020-005416-22; Clinical Trials.gov number: NCT04745351.

Sarcopenia, adiposity and large discordance between cystatin C and creatinine-based estimated glomerular filtration rate in patients with cancer.

BACKGROUND: Creatinine-based estimated glomerular filtration rate (eGFRCRE) may overestimate kidney function in patients with sarcopenia. While cystatin C-based eGFR (eGFRCYS) is less affected by muscle mass, it may underestimate kidney function in patients with obesity. We sought to evaluate the relationship between body composition defined by computed tomography (CT) scans and discordance between creatinine, eGFRCRE and eGFRCYS in adult patients with cancer. METHODS: This study is a cross-sectional study of consecutive adults with cancer with an abdominal CT scan performed within 90 days of simultaneous eGFRCRE and eGFRCYS measurements between May 2010 and January 2022. Muscle and adipose tissue cross-sectional areas were measured at the level of the third lumbar vertebral body using a validated deep-learning pipeline. CT-defined sarcopenia was defined using independent sex-specific cut-offs for skeletal muscle index (<39 cm2/m2 for women and <55 cm2/m2 for men). High adiposity was defined as the highest sex-specific quartile of the total (visceral plus subcutaneous) adiposity index in the cohort. The primary outcome was eGFR discordance, defined by eGFRCYS > 30% lower than eGFRCRE; the secondary outcome was eGFRCYS > 50% lower than eGFRCRE. The odds of eGFR discordance were estimated using multivariable logistic regression modelling. Unadjusted spline regression was used to evaluate the relationship between skeletal muscle index and the difference between eGFRCYS and eGFRCRE. RESULTS: Of the 545 included patients (mean age 63 ± 14 years, 300 [55%] females, 440 [80.7%] non-Hispanic white), 320 (58.7%) met the criteria for CT-defined sarcopenia, and 136 (25%) had high adiposity. A total of 259 patients (48%) had >30% eGFR discordance, and 122 (22.4%) had >50% eGFR discordance. After adjustment for potential confounders, CT-defined sarcopenia and high adiposity were both associated with >30% eGFR discordance (adjusted odds ratio [aOR] 1.90, 95% confidence interval [CI] 1.12-3.24; aOR 2.01, 95% CI 1.15-3.52, respectively) and >50% eGFR discordance (aOR 2.34, 95% CI 1.21-4.51; aOR 2.23, 95% CI 1.19-4.17, respectively). A spline model demonstrated that as skeletal muscle index decreases, the predicted difference between eGFRCRE and eGFRCYS widens considerably. CONCLUSIONS: CT-defined sarcopenia and high adiposity are both independently associated with large eGFR discordance. Incorporating valuable information from body composition analysis derived from CT scans performed as a part of routine cancer care can impact the interpretation of GFR estimates.

Derivation and external validation of a simple risk score for predicting severe acute kidney injury after intravenous cisplatin: cohort study.

OBJECTIVE: To develop and externally validate a prediction model for severe cisplatin associated acute kidney injury (CP-AKI). DESIGN: Multicenter cohort study. SETTING: Six geographically diverse major academic cancer centers across the US. PARTICIPANTS: Adults (≥18 years) receiving their first dose of intravenous cisplatin, 2006-22. MAIN OUTCOME MEASURES: The primary outcome was CP-AKI, defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of intravenous cisplatin. Independent predictors of CP-AKI were identified using a multivariable logistic regression model, which was developed in a derivation cohort and tested in an external validation cohort. For the primary model, continuous variables were examined using restricted cubic splines. A simple risk model was also generated by converting the odds ratios from the primary model into risk points. Finally, a multivariable Cox model was used to examine the association between severity of CP-AKI and 90 day survival. RESULTS: A total of 24 717 adults were included, with 11 766 in the derivation cohort (median age 59 (interquartile range (IQR) 50-67)) and 12 951 in the validation cohort (median age 60 (IQR 50-67)). The incidence of CP-AKI was 5.2% (608/11 766) in the derivation cohort and 3.3% (421/12 951) in the validation cohort. Each of the following factors were independently associated with CP-AKI in the derivation cohort: age, hypertension, diabetes mellitus, serum creatinine level, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose. A simple risk score consisting of nine covariates was shown to predict a higher risk of CP-AKI in a monotonic fashion in both the derivation cohort and the validation cohort. Compared with patients in the lowest risk category, those in the highest risk category showed a 24.00-fold (95% confidence interval (CI) 13.49-fold to 42.78-fold) higher odds of CP-AKI in the derivation cohort and a 17.87-fold (10.56-fold to 29.60-fold) higher odds in the validation cohort. The primary model had a C statistic of 0.75 and showed better discrimination for CP-AKI than previously published models, the C statistics for which ranged from 0.60 to 0.68 (DeLong P<0.001 for each comparison). Greater severity of CP-AKI was monotonically associated with shorter 90 day survival (adjusted hazard ratio 4.63 (95% CI 3.56 to 6.02) for stage 3 CP-AKI versus no CP-AKI). CONCLUSION: This study found that a simple risk score based on readily available variables from patients receiving intravenous cisplatin could predict the risk of severe CP-AKI, the occurrence of which is strongly associated with death.

The clinical benefits of sodium-glucose cotransporter type 2 inhibitors in people with gout.

Gout is the most common form of inflammatory arthritis worldwide and is characterized by painful recurrent flares of inflammatory arthritis that are associated with a transiently increased risk of adverse cardiovascular events. Furthermore, gout is associated with multiple cardiometabolic-renal comorbidities such as type 2 diabetes, chronic kidney disease and cardiovascular disease. These comorbidities, potentially combined with gout flare-related inflammation, contribute to persistent premature mortality in gout, independently of serum urate concentrations and traditional cardiovascular risk factors. Although better implementation of standard gout care could improve gout outcomes, deliberate efforts to address the cardiovascular risk in patients with gout are likely to be required to reduce mortality. Sodium-glucose cotransporter type 2 (SGLT2) inhibitors are approved for multiple indications owing to their ability to lower the risk of all-cause and cardiovascular death, hospitalizations for heart failure and chronic kidney disease progression, making them an attractive treatment option for gout. These medications have also been shown to lower serum urate concentrations, the causal culprit in gout risk, and are associated with a reduced risk of incident and recurrent gout, potentially owing to their purported anti-inflammatory effects. Thus, SGLT2 inhibition could simultaneously address both the symptoms of gout and its comorbidities.

AKI treated with kidney replacement therapy in critically Ill allogeneic hematopoietic stem cell transplant recipients.

Acute kidney injury (AKI) is a frequent complication following allogeneic hematopoietic stem cell transplantation (allo-HSCT), but few studies have focused on AKI treated with kidney replacement therapy (AKI-KRT), particularly among critically ill patients. We investigated the incidence, risk factors, and 90-day mortality associated with AKI-KRT in 529 critically ill adult allo-HSCT recipients admitted to the ICU within 1-year post-transplant at two academic medical centers between 2011 and 2021. AKI-KRT occurred in 111 of the 529 patients (21.0%). Lower baseline eGFR, veno-occlusive disease, thrombotic microangiopathy, admission to an ICU within 90 days post-transplant, and receipt of invasive mechanical ventilation (IMV), total bilirubin ≥5.0 mg/dl, and arterial pH <7.40 on ICU admission were each associated with a higher risk of AKI-KRT. Of the 111 patients with AKI-KRT, 97 (87.4%) died within 90 days. Ninety-day mortality was 100% in each of the following subgroups: serum albumin ≤2.0 g/dl, total bilirubin ≥7.0 mg/dl, arterial pH ≤7.20, IMV with moderate-to-severe hypoxemia, and ≥3 vasopressors/inotropes at KRT initiation. AKI-KRT was associated with a 6.59-fold higher adjusted 90-day mortality in critically ill allo-HSCT vs. non-transplanted patients. Short-term mortality remains exceptionally high among critically ill allo-HSCT patients with AKI-KRT, highlighting the importance of multidisciplinary discussions prior to KRT initiation.

Prevention, Diagnosis, Evaluation, and Treatment of Hepatitis C in Chronic Kidney Disease: Synopsis of the Kidney Disease: Improving Global Outcomes 2022 Clinical Practice Guideline.

DESCRIPTION: The Kidney Disease: Improving Global Outcomes (KDIGO) 2022 clinical practice guideline on prevention, diagnosis, evaluation, and treatment of hepatitis C in chronic kidney disease (CKD) is an update of the 2018 guideline from KDIGO. METHODS: The KDIGO Work Group (WG) updated the guideline, which included reviewing and grading new evidence that was identified and summarized. As in the previous guideline, the WG used the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach to appraise evidence and rate the strength of recommendations and used expert judgment to develop recommendations. New evidence led to updating of recommendations in the chapters on treatment of hepatitis C virus (HCV) infection in patients with CKD (Chapter 2), management of HCV infection before and after kidney transplant (Chapter 4), and diagnosis and management of kidney disease associated with HCV infection (Chapter 5). Recommendations in chapters on detection and evaluation of hepatitis C in CKD (Chapter 1) and prevention of HCV transmission in hemodialysis units (Chapter 3) were not updated because of an absence of significant new evidence. RECOMMENDATIONS: The 2022 updated guideline includes 43 graded recommendations and 20 ungraded recommendations, 7 of which are new or modified on the basis of the most recent evidence and consensus among the WG members. The updated guidelines recommend expanding treatment of hepatitis C with sofosbuvir-based regimens to patients with CKD glomerular filtration rate categories G4 and G5, including those receiving dialysis; expanding the donor pool for kidney transplant recipients by accepting HCV-positive kidneys regardless of the recipient's HCV status; and initiating direct-acting antiviral treatment of HCV-infected patients with clinical evidence of glomerulonephritis without requiring kidney biopsy. The update also addresses the use of immunosuppressive regimens in such patients.

Frequency and characteristics of chemotherapy-associated thrombotic microangiopathy: Analysis from a large pharmacovigilance database.

We used the information component (IC), a disproportionate Bayesian analysis comparing the number of observed versus expected adverse drug reactions, to determine the potential association between anti-neoplastic agents and thrombotic microangiopathy (TMA). The IC025 indicates the lower end of 95% of IC, in which a value >0 suggests a disproportionality signal between the drug of interest and the adverse drug reaction. Carfilzomib had the highest IC025 for TMA among all studied chemotherapies followed by gemcitabine, mitomycin, bevacizumab, and bortezomib.

Management of Hepatitis C Virus and Hepatitis B Virus Infection in the Setting of Kidney Disease.

Treatment of chronic hepatitis C virus (HCV) and hepatitis B virus (HBV) infection poses unique challenges in patients with kidney disease. Direct-acting antivirals have been a major breakthrough in eradicating HCV infection, and several pangenotypic regimens are available for patients with chronic kidney disease or end-stage kidney disease requiring dialysis with high cure rates and no need for dose adjustment. Direct-acting antiviral therapy alone can treat HCV-associated cryoglobulinemic glomerulonephritis; concurrent antiviral and immunosuppressive therapy is needed for cases of severe, organ-threatening manifestations of cryoglobulinemia. Immunosuppression may be needed for HBV-associated kidney disease (polyarteritis nodosa or membranous nephropathy) when there is evidence of severe immune-mediated injury while weighing the risk of potential viral activation. Most HBV antiviral agents need to be dose-adjusted in patients with chronic kidney disease or end-stage kidney disease requiring dialysis, and drug-drug interactions need to be carefully evaluated in patients with kidney transplants. Considerations for accepting HCV- and HBV-infected donors for kidney transplantation are discussed.

Adverse kidney outcomes of CDK 4/6 inhibitors for metastatic breast cancer.

Cyclin-dependent kinase (CDK) 4/6 inhibitors have significantly improved overall and progression free survival of patients with metastatic breast cancer, but their effect on short and long-term kidney function is unknown. We found that early, mild estimated glomerular filtration rate (eGFR) decline was common in patients treated with CDK 4/6 inhibitors; however, severe kidney injury is rare and long-term eGFR decline is uncommon.

Identification and validation of urinary CXCL9 as a biomarker for diagnosis of acute interstitial nephritis.

BackgroundAcute tubulointerstitial nephritis (AIN) is one of the few causes of acute kidney injury with diagnosis-specific treatment options. However, due to the need to obtain a kidney biopsy for histological confirmation, AIN diagnosis can be delayed, missed, or incorrectly assumed. Here, we identify and validate urinary CXCL9, an IFN-γ-induced chemokine involved in lymphocyte chemotaxis, as a diagnostic biomarker for AIN.MethodsIn a prospectively enrolled cohort with pathologist-adjudicated histological diagnoses, termed the discovery cohort, we tested the association of 180 immune proteins measured by an aptamer-based assay with AIN and validated the top protein, CXCL9, using sandwich immunoassay. We externally validated these findings in 2 cohorts with biopsy-confirmed diagnoses, termed the validation cohorts, and examined mRNA expression differences in kidney tissue from patients with AIN and individuals in the control group.ResultsIn aptamer-based assay, urinary CXCL9 was 7.6-fold higher in patients with AIN than in individuals in the control group (P = 1.23 × 10-5). Urinary CXCL9 measured by sandwich immunoassay was associated with AIN in the discovery cohort (n = 204; 15% AIN) independently of currently available clinical tests for AIN (adjusted odds ratio for highest versus lowest quartile: 6.0 [1.8-20]). Similar findings were noted in external validation cohorts, where CXCL9 had an AUC of 0.94 (0.86-1.00) for AIN diagnosis. CXCL9 mRNA expression was 3.9-fold higher in kidney tissue from patients with AIN (n = 19) compared with individuals in the control group (n = 52; P = 5.8 × 10-6).ConclusionWe identified CXCL9 as a diagnostic biomarker for AIN using aptamer-based urine proteomics, confirmed this association using sandwich immunoassays in discovery and external validation cohorts, and observed higher expression of this protein in kidney biopsies from patients with AIN.FundingThis study was supported by National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) awards K23DK117065 (DGM), K08DK113281 (KM), R01DK128087 (DGM), R01DK126815 (DGM and LGC), R01DK126477 (KNC), UH3DK114866 (CRP, DGM, and FPW), R01DK130839 (MES), and P30DK079310 (the Yale O'Brien Center). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.