A data-driven approach to choosing privacy parameters for clinical trial data sharing under differential privacy

OBJECTIVES

Clinical trial data sharing is crucial for promoting transparency and collaborative efforts in medical research. Differential privacy (DP) is a formal statistical technique for anonymizing shared data that balances privacy of individual records and accuracy of replicated results through a "privacy budget" parameter, ε. DP is considered the state of the art in privacy-protected data publication and is underutilized in clinical trial data sharing. This study is focused on identifying ε values for the sharing of clinical trial data.

MATERIALS AND METHODS

We analyzed 2 clinical trial datasets with privacy budget ε ranging from 0.01 to 10. Smaller values of ε entail adding greater amounts of random noise, with better privacy as a result. Comparison of rates, odds ratios, means, and mean differences between the original clinical trial datasets and the empirical distribution of the DP estimator was performed.

RESULTS

The DP rate closely approximated the original rate of 6.5% when ε > 1. The DP odds ratio closely aligned with the original odds ratio of 0.689 when ε ≥ 3. The DP mean closely approximated the original mean of 164.64 when ε ≥ 1. As ε increased to 5, both the minimum and maximum DP means converged toward the original mean.

DISCUSSION

There is no consensus on how to choose the privacy budget ε. The definition of DP does not specify the required level of privacy, and there is no established formula for determining ε.

CONCLUSION

Our findings suggest that the application of DP holds promise in the context of sharing clinical trial data.

Association of Minimal Residual Disease Negativity Rates With Progression Free Survival in Frontline Therapy Trials for Newly Diagnosed Multiple Myeloma: A Meta-analysis

Current frontline therapies for newly diagnosed multiple myeloma patients have significantly prolonged progression-free survival (PFS). This has led to interest in minimal residual disease negativity (MRDng) as an efficacy-response biomarker and possible surrogate endpoint. A meta-analysis was conducted to explore the surrogacy of MRD for PFS and quantify the relationship between MRDng rates and PFS at the trial level. A systematic search was conducted on phase II and III trials reporting MRDng rates along with median PFS (mPFS) or PFS hazard ratios (HR). Weighted linear regressions were conducted relating mPFS to MRDng rates, and relating PFS HRs to either odds ratios (OR) or rate differences (RD) for MRDng in comparative trials. A total of 14 trials were available for the mPFS analysis. log(MRDng rate) was moderately associated with log (mPFS), with a slope of β = 0.37 (95% CI, 0.26-0.48) and R² = 0.62. A total of 13 trials were available for the PFS HR analysis. Treatment effects on MRDng rates were correlated with the corresponding effects on PFS: log (PFS HR) and log (MRDng OR) had a moderate association with β = -0.36 (95% CI, -0.56 to -0.17) and R² = 0.53 (95% CI, 0.21-0.77); log (PFS HR) and the MRDng RD had a stronger association with slope β = -0.03 (95% CI, -0.04 to -0.02) and R² = 0.67 (95% CI, 0.31 to 0.86). MRDng rates moderately associate with PFS outcomes. MRDng RDs are more strongly associated with HRs than MRDng ORs, with evidence suggestive of potential surrogacy.

Understanding Technology Fit Among People with HIV Based on Intersections of Race, Sex, and Sexual Behavior: An Equitable Approach to Analyzing Differences Across Multiple Social Identities

HIV disproportionately impacts individuals based on intersecting categories (e.g. gender, race/ethnicity, behavior), with groups most at-risk deemed priority populations. Using weighted effects coding to account for differential group sizes, this study used multilevel mixed logistic models to investigate differences in eHealth use and willingness to use eHealth for HIV-related information among priority populations. Compared to the sample average, Black men who had sex with women were less likely to use all technologies except cellphones with text-messaging and less likely to be willing to use computers and tablets. White and Hispanic men who had sex with men were more likely to use all technologies. No significant differences existed for use or willingness to use cellphones with text-messaging. Future research should consider approaches used here to account for equity and multiple intersecting social identities; practitioners may use these findings or similar local data to ensure fit between eHealth programs and priority populations.

Differential privacy in health research: A scoping review

OBJECTIVE

Differential privacy is a relatively new method for data privacy that has seen growing use due its strong protections that rely on added noise. This study assesses the extent of its awareness, development, and usage in health research.

MATERIALS AND METHODS

A scoping review was conducted by searching for ["differential privacy" AND "health"] in major health science databases, with additional articles obtained via expert consultation. Relevant articles were classified according to subject area and focus.

RESULTS

A total of 54 articles met the inclusion criteria. Nine articles provided descriptive overviews, 31 focused on algorithm development, 9 presented novel data sharing systems, and 8 discussed appraisals of the privacy-utility tradeoff. The most common areas of health research where differential privacy has been discussed are genomics, neuroimaging studies, and health surveillance with personal devices. Algorithms were most commonly developed for the purposes of data release and predictive modeling. Studies on privacy-utility appraisals have considered economic cost-benefit analysis, low-utility situations, personal attitudes toward sharing health data, and mathematical interpretations of privacy risk.

DISCUSSION

Differential privacy remains at an early stage of development for applications in health research, and accounts of real-world implementations are scant. There are few algorithms for explanatory modeling and statistical inference, particularly with correlated data. Furthermore, diminished accuracy in small datasets is problematic. Some encouraging work has been done on decision making with regard to epsilon. The dissemination of future case studies can inform successful appraisals of privacy and utility.

CONCLUSIONS

More development, case studies, and evaluations are needed before differential privacy can see widespread use in health research.

Associations of Perfusate Biomarkers and Pump Parameters With Delayed Graft Function and Deceased Donor Kidney Allograft Function

Hypothermic machine perfusion (HMP) is increasingly used in deceased donor kidney transplantation, but controversy exists regarding the value of perfusion biomarkers and pump parameters for assessing organ quality. We prospectively determined associations between perfusate biomarkers (neutrophil gelatinase-associated lipocalin [NGAL], kidney injury molecule 1, IL-18 and liver-type fatty acid-binding protein [L-FABP]) and pump parameters (resistance and flow) with outcomes of delayed graft function (DGF) and 6-mo estimated GFR (eGFR). DGF occurred in 230 of 671 (34%) recipients. Only 1-h flow was inversely associated with DGF. Higher NGAL or L-FABP concentrations and increased resistance were inversely associated with 6-mo eGFR, whereas higher flow was associated with higher adjusted 6-mo eGFR. Discarded kidneys had consistently higher median resistance and lower median flow than transplanted kidneys, but median perfusate biomarker concentrations were either lower or not significantly different in discarded compared with transplanted kidneys. Notably, most recipients of transplanted kidneys with isolated "undesirable" biomarker levels or HMP parameters experienced acceptable 6-mo allograft function, suggesting these characteristics should not be used in isolation for discard decisions. Additional studies must confirm the utility of combining HMP measurements with other characteristics to assess kidney quality.

Validating Early Post-Transplant Outcomes Reported for Recipients of Deceased Donor Kidney Transplants

BACKGROUND AND OBJECTIVES

Data reported to the Organ Procurement and Transplantation Network (OPTN) are used in kidney transplant research, policy development, and assessment of center quality, but the accuracy of early post-transplant outcome measures is unknown.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

The Deceased Donor Study (DDS) is a prospective cohort study at five transplant centers. Research coordinators manually abstracted data from electronic records for 557 adults who underwent deceased donor kidney transplantation between April of 2010 and November of 2013. We compared the post-transplant outcomes of delayed graft function (DGF; defined as dialysis in the first post-transplant week), acute rejection, and post-transplant serum creatinine reported to the OPTN with data collected for the DDS.

RESULTS

Median kidney donor risk index was 1.22 (interquartile range [IQR], 0.97-1.53). Median recipient age was 55 (IQR, 46-63) years old, 63% were men, and 47% were black; 93% had received dialysis before transplant. Using DDS data as the gold standard, we found that pretransplant dialysis was not reported to the OPTN in only 11 (2%) instances. DGF in OPTN data had a sensitivity of 89% (95% confidence interval [95% CI], 84% to 93%) and specificity of 98% (95% CI, 96% to 99%). Surprisingly, the OPTN data accurately identified acute allograft rejection in only 20 of 47 instances (n=488; sensitivity of 43%; 95% CI, 17% to 73%). Across participating centers, sensitivity of acute rejection varied widely from 23% to 100%, whereas specificity was uniformly high (92%-100%). Six-month serum creatinine values in DDS and OPTN data had high concordance (n=490; Lin concordance correlation =0.90; 95% CI, 0.88 to 0.92).

CONCLUSIONS

OPTN outcomes for recipients of deceased donor kidney transplants have high validity for DGF and 6-month allograft function but lack sensitivity in detecting rejection. Future studies using OPTN data may consider focusing on allograft function at 6 months as a useful outcome.

Associations between Deceased-Donor Urine Injury Biomarkers and Kidney Transplant Outcomes

Assessment of deceased-donor organ quality is integral to transplant allocation practices, but tools to more precisely measure donor kidney injury and better predict outcomes are needed. In this study, we assessed associations between injury biomarkers in deceased-donor urine and the following outcomes: donor AKI (stage 2 or greater), recipient delayed graft function (defined as dialysis in first week post-transplant), and recipient 6-month eGFR. We measured urinary concentrations of microalbumin, neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), IL-18, and liver-type fatty acid binding protein (L-FABP) from 1304 deceased donors at organ procurement, among whom 112 (9%) had AKI. Each biomarker strongly associated with AKI in adjusted analyses. Among 2441 kidney transplant recipients, 31% experienced delayed graft function, and mean±SD 6-month eGFR was 55.7±23.5 ml/min per 1.73 m(2) In analyses adjusted for donor and recipient characteristics, higher donor urinary NGAL concentrations associated with recipient delayed graft function (highest versus lowest NGAL tertile relative risk, 1.21; 95% confidence interval, 1.02 to 1.43). Linear regression analyses of 6-month recipient renal function demonstrated that higher urinary NGAL and L-FABP concentrations associated with slightly lower 6-month eGFR only among recipients without delayed graft function. In summary, donor urine injury biomarkers strongly associate with donor AKI but provide limited value in predicting delayed graft function or early allograft function after transplant.

Associations of deceased donor kidney injury with kidney discard and function after transplantation

Deceased donor kidneys with acute kidney injury (AKI) are often discarded due to fear of poor outcomes. We performed a multicenter study to determine associations of AKI (increasing admission-to-terminal serum creatinine by AKI Network stages) with kidney discard, delayed graft function (DGF) and 6-month estimated glomerular filtration rate (eGFR). In 1632 donors, kidney discard risk increased for AKI stages 1, 2 and 3 (compared to no AKI) with adjusted relative risks of 1.28 (1.08-1.52), 1.82 (1.45-2.30) and 2.74 (2.0-3.75), respectively. Adjusted relative risk for DGF also increased by donor AKI stage: 1.27 (1.09-1.49), 1.70 (1.37-2.12) and 2.25 (1.74-2.91), respectively. Six-month eGFR, however, was similar across AKI categories but was lower for recipients with DGF (48 [interquartile range: 31-61] vs. 58 [45-75] ml/min/1.73m(2) for no DGF, p < 0.001). There was significant favorable interaction between donor AKI and DGF such that 6-month eGFR was progressively better for DGF kidneys with increasing donor AKI (46 [29-60], 49 [32-64], 52 [36-59] and 58 [39-71] ml/min/1.73m(2) for no AKI, stage 1, 2 and 3, respectively; interaction p = 0.05). Donor AKI is associated with kidney discard and DGF, but given acceptable 6-month allograft function, clinicians should consider cautious expansion into this donor pool.

A case of acute rejection shortly after initiation of lamivudine therapy in a simultaneous pancreas and kidney recipient with viral hepatitis type B

We describe a patient with hepatitis B antigenemia, who received a simultaneous pancreas and kidney transplant, developed reactivation of hepatitis B virus infection with aminotransferase elevation, and unexpectedly suffered an acute rejection episode within a few weeks after initiation of lamivudine therapy. At the time of rejection diagnosis, the cyclosporin A (CyA) trough level was 2 times lower than before the start of lamivudine therapy. Only an improvement in liver CyA metabolism in the course of lamivudine therapy can explain such an essential decline. Thus, it is important to emphasize how crucial it is to frequently monitor the CyA level in the early period of lamivudine therapy in transplanted patients with hepatitis to ensure adequate immunosuppression and to avoid acute rejection episodes.

Plasma leptin concentration in patients with acute renal failure

BACKGROUND

Acute renal failure (ARF) is characterized by impaired excretory, endocrine, homeostatic and metabolic function of the kidneys. It is well-known that leptin is an adipose-derived polypeptide hormone which is predominantly biodegraded by the kidneys. Therefore, plasma leptin concentration is increased in chronic renal failure (CRF). However, its' concentrations in patients with ARF were not investigated until now. The aim of the present study was to evaluate plasma leptin concentration in patients with ARF.

PATIENTS AND METHODS

27 patients with ARF (age 44 +/- 4 years, BMI 26.0 +/- 0.9 kg/m2, means +/- SEM, 17 patients 15 M, 2 F recovered kidney function and 10 patients 7 M, 3 F died during the anuric phase), 27 hemodialysis patients (22 M, 5 F; age 45 +/- 2 years; BMI 26.2 +/- 0.8 kg/m2) with chronic renal failure (CRF) and 27 healthy subjects (HS) (22 M, 5 F; age 42 +/- 3 years; BMI 25.9 +/- 0.6 kg/m2) were examined. In patients with ARF, blood samples for plasma leptin and routinely assessed biochemical parameters were withdrawn before the first HD session (I), and in patients who survived a second time 5 days later during the anuric/oliguric phase (II), and a third one during the polyuric phase before discharge of the patient from hospital (III). In patients with CRF all examined parameters were estimated only once before a subsequent HD session.

RESULTS

Patients with ARF (before the first HD session) and CRF did not differ significantly with respect to BMI, serum creatinine and blood hydrogen ion concentrations. Plasma leptin level in patients with ARF before the first HD session was similar to values obtained in HS, but significantly lower (p < 0.01) than in patients with CRF (2.5 (1.9 - 8.2) vs. 3.4 (2.5 - 8.3) vs. 8.4 (2.9 - 16.9) ng/ml in ARF, HS and CRF, respectively). There was no significant difference in leptinemia between patients with ARF who survived and who died. In patients with ARF who survived, improvement ofrenal function was accompanied by a slightly (not significant) declining tendency in plasma leptin concentration (5.6 +/- 2.2 vs. 4.8 +/- 1.7 vs. 4.5 +/- 1.3 ng/ml; I, II, III phases of ARF, respectively).

CONCLUSIONS

In contrast to hemodialysis patients with chronic renal failure, patients with acute renal failure are characterized by normal plasma leptin concentration. Thus, difference in leptinemia between patients with chronic and acute renal failure seems to be due to preservation of large amounts of active renal parenchyma in ARF patients.

Influence of antihypertensive treatment with perindopril, pindolol or felodipinon plasma leptin concentration in patients with essential hypertension

Leptin - produced predominantly by adipocytes - is presumably also involved in pathogenesis of essential hypertension (EH). In the present study, we addressed the question whether and to what extent antihypertensive monotherapy does influence leptinemia in patients with mild or moderate EH. Forty-two EH patients were enrolled in this randomized, open-labeled study. In all subjects, plasma concentrations of leptin, insulin, glucose, cholesterol, triglycerides and creatinine were estimated twice - before and one month after initiation of monotherapy with perindopril, pindolol or felodipin, respectively. Plasma leptin concentration, in the afternoon and midnight, was significantly higher in patients with essential hypertension than in normotensive healthy subjects (p < 0.01). Therapy with perindopril or felodipin did not influence the daily profile of leptinemia or insulinemia, respectively. However, pindolol monotherapy showed a marked (p < 0.01) suppressive effect on the daily profile of leptinemia, but did not influence insulinemia.

CONCLUSIONS

First, patients with essential hypertension are characterized by higher plasma leptin levels as compared with normotensive healthy subjects; second, suppressive effect of pindolol on leptinemia may be of pathophysiological relevance in the course of weight gain during beta-blocker therapy.