Comparing broad and narrow phenotype algorithms: differences in performance characteristics and immortal time incurred

Introduction: When developing phenotype algorithms for observational research, there is usually a trade-off between definitions that are sensitive or specific. The objective of this study was to estimate the performance characteristics of phenotype algorithms designed for increasing specificity and to estimate the immortal time associated with each algorithm. Materials and methods: We examined algorithms for 11 chronic health conditions. The analyses were from data from five databases. For each health condition, we created five algorithms to examine performance (sensitivity and positive predictive value (PPV)) differences: one broad algorithm using a single code for the health condition and four narrow algorithms where a second diagnosis code was required 1-30 days, 1-90 days, 1-365 days, or 1- all days in a subject's continuous observation period after the first code. We also examined the proportion of immortal time relative to time-at-risk (TAR) for four outcomes. The TAR's were: 0-30 days after the first condition occurrence (the index date), 0-90 days post-index, 0-365 days post-index, and 0-1,095 days post-index. Performance of algorithms for chronic health conditions was estimated using PheValuator (V2.1.4) from the OHDSI toolstack. Immortal time was calculated as the time from the index date until the first of the following: 1) the outcome; 2) the end of the outcome TAR; 3) the occurrence of the second code for the chronic health condition. Results: In the first analysis, the narrow phenotype algorithms, i.e., those requiring a second condition code, produced higher estimates for PPV and lower estimates for sensitivity compared to the single code algorithm. In all conditions, increasing the time to the required second code increased the sensitivity of the algorithm. In the second analysis, the amount of immortal time increased as the window used to identify the second diagnosis code increased. The proportion of TAR that was immortal was highest in the 30 days TAR analyses compared to the 1,095 days TAR analyses. Conclusion: Attempting to increase the specificity of a health condition algorithm by adding a second code is a potentially valid approach to increase specificity, albeit at the cost of incurring immortal time.

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study

OBJECTIVE

Observational studies can impact patient care but must be robust and reproducible. Nonreproducibility is primarily caused by unclear reporting of design choices and analytic procedures. This study aimed to: (1) assess how the study logic described in an observational study could be interpreted by independent researchers and (2) quantify the impact of interpretations' variability on patient characteristics.

MATERIALS AND METHODS

Nine teams of highly qualified researchers reproduced a cohort from a study by Albogami et al. The teams were provided the clinical codes and access to the tools to create cohort definitions such that the only variable part was their logic choices. We executed teams' cohort definitions against the database and compared the number of subjects, patient overlap, and patient characteristics.

RESULTS

On average, the teams' interpretations fully aligned with the master implementation in 4 out of 10 inclusion criteria with at least 4 deviations per team. Cohorts' size varied from one-third of the master cohort size to 10 times the cohort size (2159-63 619 subjects compared to 6196 subjects). Median agreement was 9.4% (interquartile range 15.3-16.2%). The teams' cohorts significantly differed from the master implementation by at least 2 baseline characteristics, and most of the teams differed by at least 5.

CONCLUSIONS

Independent research teams attempting to reproduce the study based on its free-text description alone produce different implementations that vary in the population size and composition. Sharing analytical code supported by a common data model and open-source tools allows reproducing a study unambiguously thereby preserving initial design choices.

Using a data-driven approach for the development and evaluation of phenotype algorithms for systemic lupus erythematosus

BACKGROUND

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease of unknown origin. The objective of this research was to develop phenotype algorithms for SLE suitable for use in epidemiological studies using empirical evidence from observational databases.

METHODS

We used a process for empirically determining and evaluating phenotype algorithms for health conditions to be analyzed in observational research. The process started with a literature search to discover prior algorithms used for SLE. We then used a set of Observational Health Data Sciences and Informatics (OHDSI) open-source tools to refine and validate the algorithms. These included tools to discover codes for SLE that may have been missed in prior studies and to determine possible low specificity and index date misclassification in algorithms for correction.

RESULTS

We developed four algorithms using our process: two algorithms for prevalent SLE and two for incident SLE. The algorithms for both incident and prevalent cases are comprised of a more specific version and a more sensitive version. Each of the algorithms corrects for possible index date misclassification. After validation, we found the highest positive predictive value estimate for the prevalent, specific algorithm (89%). The highest sensitivity estimate was found for the sensitive, prevalent algorithm (77%).

CONCLUSION

We developed phenotype algorithms for SLE using a data-driven approach. The four final algorithms may be used directly in observational studies. The validation of these algorithms provides researchers an added measure of confidence that the algorithms are selecting subjects correctly and allows for the application of quantitative bias analysis.

Development and external validation of prediction models for adverse health outcomes in rheumatoid arthritis: A multinational real-world cohort analysis

BACKGROUND

Identification of rheumatoid arthritis (RA) patients at high risk of adverse health outcomes remains a major challenge. We aimed to develop and validate prediction models for a variety of adverse health outcomes in RA patients initiating first-line methotrexate (MTX) monotherapy.

METHODS

Data from 15 claims and electronic health record databases across 9 countries were used. Models were developed and internally validated on Optum® De-identified Clinformatics® Data Mart Database using L1-regularized logistic regression to estimate the risk of adverse health outcomes within 3 months (leukopenia, pancytopenia, infection), 2 years (myocardial infarction (MI) and stroke), and 5 years (cancers [colorectal, breast, uterine] after treatment initiation. Candidate predictors included demographic variables and past medical history. Models were externally validated on all other databases. Performance was assessed using the area under the receiver operator characteristic curve (AUC) and calibration plots.

FINDINGS

Models were developed and internally validated on 21,547 RA patients and externally validated on 131,928 RA patients. Models for serious infection (AUC: internal 0.74, external ranging from 0.62 to 0.83), MI (AUC: internal 0.76, external ranging from 0.56 to 0.82), and stroke (AUC: internal 0.77, external ranging from 0.63 to 0.95), showed good discrimination and adequate calibration. Models for the other outcomes showed modest internal discrimination (AUC < 0.65) and were not externally validated.

INTERPRETATION

We developed and validated prediction models for a variety of adverse health outcomes in RA patients initiating first-line MTX monotherapy. Final models for serious infection, MI, and stroke demonstrated good performance across multiple databases and can be studied for clinical use.

FUNDING

This activity under the European Health Data & Evidence Network (EHDEN) has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806968. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA.

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation

PURPOSE

Phenotype algorithms are central to performing analyses using observational data. These algorithms translate the clinical idea of a health condition into an executable set of rules allowing for queries of data elements from a database. PheValuator, a software package in the Observational Health Data Sciences and Informatics (OHDSI) tool stack, provides a method to assess the performance characteristics of these algorithms, namely, sensitivity, specificity, and positive and negative predictive value. It uses machine learning to develop predictive models for determining a probabilistic gold standard of subjects for assessment of cases and non-cases of health conditions. PheValuator was developed to complement or even replace the traditional approach of algorithm validation, i.e., by expert assessment of subject records through chart review. Results in our first PheValuator paper suggest a systematic underestimation of the PPV compared to previous results using chart review. In this paper we evaluate modifications made to the method designed to improve its performance.

METHODS

The major changes to PheValuator included allowing all diagnostic conditions, clinical observations, drug prescriptions, and laboratory measurements to be included as predictors within the modeling process whereas in the prior version there were significant restrictions on the included predictors. We also have allowed for the inclusion of the temporal relationships of the predictors in the model. To evaluate the performance of the new method, we compared the results from the new and original methods against results found from the literature using traditional validation of algorithms for 19 phenotypes. We performed these tests using data from five commercial databases.

RESULTS

In the assessment aggregating all phenotype algorithms, the median difference between the PheValuator estimate and the gold standard estimate for PPV was reduced from -21 (IQR -34, -3) in Version 1.0 to 4 (IQR -3, 15) using Version 2.0. We found a median difference in specificity of 3 (IQR 1, 4.25) for Version 1.0 and 3 (IQR 1, 4) for Version 2.0. The median difference between the two versions of PheValuator and the gold standard for estimates of sensitivity was reduced from -39 (-51, -20) to -16 (-34, -6).

CONCLUSION

PheValuator 2.0 produces estimates for the performance characteristics for phenotype algorithms that are significantly closer to estimates from traditional validation through chart review compared to version 1.0. With this tool in researcher's toolkits, methods, such as quantitative bias analysis, may now be used to improve the reliability and reproducibility of research studies using observational data.

Incidence rate of hospitalization and mortality in the first year following initial diagnosis of cardiac amyloidosis in the US claims databases

OBJECTIVE

This study aimed to determine rates of hospitalization and in-hospital mortality in the first year following amyloidosis diagnosis with cardiac involvement using observational databases.

METHODS

Three administrative claims databases, IBM MarketScan^® Commercial Claims and Encounters (CCAE), IBM MarketScan^® Multi-State Medicare Database (MDCR), and Optum's de-identified Clinformatics^® Data Mart Database (Optum) were analyzed. Adults ≥18 years old, with a diagnosis of amyloidosis and evidence of cardiac involvement (i.e. heart failure, heart block, or cardiomyopathy) but no hepatic/renal failure prior to amyloidosis diagnosis were included for analysis. The primary analyses identified patients between 01-01-2010 and 31-12-2017 period. We calculated the rates of hospitalization and in-hospital mortality within 1 year after the initial diagnosis of amyloidosis. A sensitivity analysis was conducted for patients identified in Optum database during 2004-2011 period, which provided additional mortality information.

RESULTS

A total of 419, 654, and 922 patients from CCAE, MDCR, and Optum were identified during 2010-2017 period, with mean age of 55.6, 77.8, and 74.2 years, respectively. Within 1 year following initial amyloidosis diagnosis, incidence rates (95% confidence interval [CI]) of hospitalization were 78.4 (66.3, 90.4), 78.6 (69.2, 87.9), and 61.2 (54.4, 68.0) per 100 person-years, rates of in-hospital mortality were 16.5 (11.8, 21.3), 8.4 (5.7, 11.0), and 17.7 (14.5, 21.0) per 100 person-years, in CCAE, MDCR, and Optum, respectively. The mortality rate from the sensitivity analysis among patients identified in Optum 2004-2011 period was higher compared with Optum 2010-2017 period.

CONCLUSIONS

The results from this study indicate that amyloidosis with cardiac involvement is a condition with high rates of hospitalization and mortality in the first year after initial diagnosis. Future studies are needed to further evaluate the outcomes within the subtypes of amyloidosis and understand the risk factors associated with poor prognoses.

Evaluation of code-based algorithms to identify pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension patients in large administrative databases

Large administrative healthcare (including insurance claims) databases are used for various retrospective real-world evidence studies. However, in pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension, identifying patients retrospectively based on administrative codes remains challenging, as it relies on code combinations (algorithms) and the accuracy for patient identification of most of them is unknown. This study aimed to assess the performance of various algorithms in correctly identifying patients with pulmonary arterial hypertension or chronic thromboembolic pulmonary hypertension in administrative databases. A systematic literature review was performed to find publications detailing code-based algorithms used to identify pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension patients. PheValuator, a diagnostic predictive modelling tool, was applied to three US claims databases, yielding models that estimated the probability of a patient having the disease. These models were used to evaluate the performance characteristics of selected pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension algorithms. With increasing algorithm complexity, average positive predictive value increased (pulmonary arterial hypertension: 13.4–66.0%; chronic thromboembolic pulmonary hypertension: 10.3–75.1%) and average sensitivity decreased (pulmonary arterial hypertension: 61.5–2.7%; chronic thromboembolic pulmonary hypertension: 20.7–0.2%). Specificities and negative predictive values were high (≥97.5%) for all algorithms. Several of the algorithms performed well overall when considering all of these four performance parameters, and all algorithms performed with similar accuracy across the three claims databases studied, even though most were designed for patient identification in a specific database. Therefore, it is the objective of a study that will determine which algorithm may be most suitable; one- or two-component algorithms are most inclusive and three- or four-component algorithms identify most precise pulmonary arterial hypertension or chronic thromboembolic pulmonary hypertension populations, respectively.

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

Comorbid conditions appear to be common among individuals hospitalised with coronavirus disease 2019 (COVID-19) but estimates of prevalence vary and little is known about the prior medication use of patients. Here, we describe the characteristics of adults hospitalised with COVID-19 and compare them with influenza patients. We include 34,128 (US: 8362, South Korea: 7341, Spain: 18,425) COVID-19 patients, summarising between 4811 and 11,643 unique aggregate characteristics. COVID-19 patients have been majority male in the US and Spain, but predominantly female in South Korea. Age profiles vary across data sources. Compared to 84,585 individuals hospitalised with influenza in 2014-19, COVID-19 patients have more typically been male, younger, and with fewer comorbidities and lower medication use. While protecting groups vulnerable to influenza is likely a useful starting point in the response to COVID-19, strategies will likely need to be broadened to reflect the particular characteristics of individuals being hospitalised with COVID-19.

Acute pancreatitis risk in type 2 diabetes patients treated with canagliflozin versus other antihyperglycemic agents: an observational claims database study

Objective: Observational evidence suggests that patients with type 2 diabetes mellitus (T2DM) are at increased risk for acute pancreatitis (AP) versus those without T2DM. A small number of AP events were reported in clinical trials of the sodium glucose co-transporter 2 inhibitor canagliflozin, though no imbalances were observed between treatment groups. This observational study evaluated risk of AP among new users of canagliflozin compared with new users of six classes of other antihyperglycemic agents (AHAs).Methods: Three US claims databases were analyzed based on a prespecified protocol approved by the European Medicines Agency. Propensity score adjustment controlled for imbalances in baseline covariates. Cox regression models estimated the hazard ratio of AP with canagliflozin compared with other AHAs using on-treatment (primary) and intent-to-treat approaches. Sensitivity analyses assessed robustness of findings.Results: Across the three databases, there were between 12,023-80,986 new users of canagliflozin; the unadjusted incidence rates of AP (per 1000 person-years) were between 1.5-2.2 for canagliflozin and 1.1-6.6 for other AHAs. The risk of AP was generally similar for new users of canagliflozin compared with new users of glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase-4 inhibitors, sulfonylureas, thiazolidinediones, insulin, and other AHAs, with no consistent between-treatment differences observed across databases. Intent-to-treat and sensitivity analysis findings were qualitatively consistent with on-treatment findings.Conclusions: In this large observational study, incidence rates of AP in patients with T2DM treated with canagliflozin or other AHAs were generally similar, with no evidence suggesting that canagliflozin is associated with increased risk of AP compared with other AHAs.

Comparison of First-Line Dual Combination Treatments in Hypertension: Real-World Evidence from Multinational Heterogeneous Cohorts

Background and Objectives

2018 ESC/ESH Hypertension guideline recommends 2-drug combination as initial anti-hypertensive therapy. However, real-world evidence for effectiveness of recommended regimens remains limited. We aimed to compare the effectiveness of first-line anti-hypertensive treatment combining 2 out of the following classes: angiotensin-converting enzyme (ACE) inhibitors/angiotensin-receptor blocker (A), calcium channel blocker (C), and thiazide-type diuretics (D).

Methods

Treatment-naïve hypertensive adults without cardiovascular disease (CVD) who initiated dual anti-hypertensive medications were identified in 5 databases from US and Korea. The patients were matched for each comparison set by large-scale propensity score matching. Primary endpoint was all-cause mortality. Myocardial infarction, heart failure, stroke, and major adverse cardiac and cerebrovascular events as a composite outcome comprised the secondary measure.

Results

A total of 987,983 patients met the eligibility criteria. After matching, 222,686, 32,344, and 38,513 patients were allocated to A+C vs. A+D, C+D vs. A+C, and C+D vs. A+D comparison, respectively. There was no significant difference in the mortality during total of 1,806,077 person-years: A+C vs. A+D (hazard ratio [HR], 1.08; 95% confidence interval [CI], 0.97−1.20; p=0.127), C+D vs. A+C (HR, 0.93; 95% CI, 0.87−1.01; p=0.067), and C+D vs. A+D (HR, 1.18; 95% CI, 0.95−1.47; p=0.104). A+C was associated with a slightly higher risk of heart failure (HR, 1.09; 95% CI, 1.01−1.18; p=0.040) and stroke (HR, 1.08; 95% CI, 1.01−1.17; p=0.040) than A+D.

Conclusions

There was no significant difference in mortality among A+C, A+D, and C+D combination treatment in patients without previous CVD. This finding was consistent across multi-national heterogeneous cohorts in real-world practice.

PheValuator: Development and evaluation of a phenotype algorithm evaluator

BACKGROUND

The primary approach for defining disease in observational healthcare databases is to construct phenotype algorithms (PAs), rule-based heuristics predicated on the presence, absence, and temporal logic of clinical observations. However, a complete evaluation of PAs, i.e., determining sensitivity, specificity, and positive predictive value (PPV), is rarely performed. In this study, we propose a tool (PheValuator) to efficiently estimate a complete PA evaluation.

METHODS

We used 4 administrative claims datasets: OptumInsight's de-identified Clinformatics™ Datamart (Eden Prairie,MN); IBM MarketScan Multi-State Medicaid); IBM MarketScan Medicare Supplemental Beneficiaries; and IBM MarketScan Commercial Claims and Encounters from 2000 to 2017. Using PheValuator involves (1) creating a diagnostic predictive model for the phenotype, (2) applying the model to a large set of randomly selected subjects, and (3) comparing each subject's predicted probability for the phenotype to inclusion/exclusion in PAs. We used the predictions as a 'probabilistic gold standard' measure to classify positive/negative cases. We examined 4 phenotypes: myocardial infarction, cerebral infarction, chronic kidney disease, and atrial fibrillation. We examined several PAs for each phenotype including 1-time (1X) occurrence of the diagnosis code in the subject's record and 1-time occurrence of the diagnosis in an inpatient setting with the diagnosis code as the primary reason for admission (1X-IP-1stPos).

RESULTS

Across phenotypes, the 1X PA showed the highest sensitivity/lowest PPV among all PAs. 1X-IP-1stPos yielded the highest PPV/lowest sensitivity. Specificity was very high across algorithms. We found similar results between algorithms across datasets.

CONCLUSION

PheValuator appears to show promise as a tool to estimate PA performance characteristics.

Frequency of Stroke After Percutaneous Coronary Intervention or Coronary Artery Bypass Grafting (from an Eleven-Year Statewide Analysis)

We compared stroke rates associated with coronary artery bypass grafting (CABG), both on-pump and off-pump, and percutaneous coronary intervention (PCI) with both drug-eluting stent (DES) and bare-metal stent (BMS) and the impact on 30-day and 1-year all-cause mortality. The Myocardial Infarction Data Acquisition System database was used to study patients who had on-pump CABG (n = 47,254), off-pump CABG (n = 19,118), and PCI with BMS (n = 46,641), and DES (n = 115,942) in New Jersey from 2002 to 2012. Multiple logistic and Cox proportional hazard models were used to compare the risk of stroke and mortality. Adjustments were made for demographics, year of hospitalization, and co-morbidities. The rate of postprocedural stroke was lowest with DES (0.5%), followed by BMS (0.6%), off-pump CABG (1.3%), and on-pump CABG (1.8%). After adjustment, on-pump CABG had a higher risk of stroke compared with off-pump (odds ratio 1.36, 95% CI 1.18 to 1.56, p <0.0001). DES had lower risk of stroke compared with off-pump CABG (odds ratio 0.64, 95% CI 0.55 to 0.74, p <0.0001). There was a significant excess risk of 1-year mortality due to the interaction between stroke and procedure type (on-pump vs off-pump CABG and PCI with DES vs BMS; p value for interaction = 0.02). In conclusion, in this retrospective analysis of nonrandomized data from a statewide database, PCI with DES was associated with the lowest rate of postprocedural stroke, and off-pump CABG had a lower rate of postprocedural stroke than on-pump CABG; there was an excess 1-year mortality risk with on-pump versus off-pump CABG and with DES versus BMS in patients with stroke.

Ischemic Stroke Rate Increases in Young Adults: Evidence for a Generational Effect?

BACKGROUND

The incidence rates of ischemic stroke and ST-segment elevation myocardial infarction (STEMI) have decreased significantly in the United States since 1950. However, there is evidence of flattening of this trend or increasing rates for stroke in patients younger than 50 years. The objective of this study was to examine the changes in incidence rates of stroke and STEMI using an age-period-cohort model with statewide data from New Jersey.

METHODS AND RESULTS

We obtained stroke and STEMI data for the years 1995-2014 from the Myocardial Infarction Data Acquisition System, a database of hospital discharges in New Jersey. Rates by age for the time periods 1994-1999, 2000-2004, 2005-2009, and 2010-2014 were obtained using census estimates as denominators for each age group and period. The rate of stroke more than doubled in patients aged 35 to 39 years from 1995-1999 to 2010-2014 (rate ratio [RR], 2.47; 95% CI, 2.07-2.96 [P<0.0001]). We also found increased rates of stroke in those aged 40 to 44, 45 to 49, and 50 to 54 years. Strokes rates in those older than 55 years decreased during these time periods. Those born from 1945-1954 had lower age-adjusted rates of stroke than those born both in the prior 20 years and in the following 20 years. STEMI rates, in contrast, decreased in all age groups and in each successive birth cohort.

CONCLUSIONS

There appears to be a significant birth cohort effect in the risk of stroke, where patients born from 1945-1954 have lower age-adjusted rates of stroke compared with those born in earlier and later years.

The effect of Hurricane Sandy on cardiovascular events in New Jersey

Background

Hurricane Sandy made landfall in New Jersey (NJ) on October 29, 2012. We studied the impact of this extreme weather event on the incidence of, and 30‐day mortality from, cardiovascular (CV) events (CVEs), including myocardial infarctions (MI) and strokes, in NJ.

Methods and Results

Data were obtained from the MI data acquisition system (MIDAS), a database of all inpatient hospital discharges with CV diagnoses in NJ, including death certificates. Patients were grouped by their county of residence, and each county was categorized as either high‐ (41.5% of the NJ population) or low‐impact area based on data from the Federal Emergency Management Agency and other sources. We utilized Poisson regression comparing the 2 weeks following Sandy landfall with the same weeks from the 5 previous years. In addition, we used CVE data from the 2 weeks previous in each year as to adjust for yearly changes. In the high‐impact area, MI incidence increased by 22%, compared to previous years (attributable rate ratio [ARR], 1.22; 95% confidence interval [CI], 1.16, 1.28), with a 31% increase in 30‐day mortality (ARR, 1.31; 95% CI, 1.22, 1.41). The incidence of stroke increased by 7% (ARR, 1.07; 95% CI, 1.03, 1.11), with no significant change in 30‐day stroke mortality. There were no changes in incidence or 30‐day mortality of MI or stroke in the low‐impact area.

Conclusion

In the 2 weeks following Hurricane Sandy, there were increases in the incidence of, and 30‐day mortality from, MI and in the incidence of stroke.

Competing cardiovascular and noncardiovascular risks and longevity in the systolic hypertension in the elderly program

We examined the effect of chlorthalidone-based stepped care on the competing risks of cardiovascular (CV) versus non-CV death in the Systolic Hypertension in the Elderly Program (SHEP). Participants were randomly assigned to chlorthalidone-based stepped-care therapy (n = 2,365) or placebo (n = 2,371) for 4.5 years, and all participants were advised to take active therapy thereafter. At the 22-year follow-up, the gain in life expectancy free from CV death in the active treatment group was 145 days (95% confidence interval [CI] 23 to 260, p = 0.012). The gain in overall life expectancy was smaller (105 days, 95% CI -39 to 242, p = 0.073) because of a 40-day (95% CI -87 to 161) decrease in survival from non-CV death. Compared with an age- and gender-matched cohort, participants had markedly higher overall life expectancy (Wilcoxon p = 0.00001) and greater chance of reaching the ages of 80 (81.3% vs 57.6%), 85 (58.1% vs 37.4%), 90 (30.5% vs 22.0%), 95 (11.9% vs 8.8%), and 100 years (3.7% vs 2.8%). In conclusion, Systolic Hypertension in the Elderly Program participants had higher overall life expectancy than actuarial controls and those randomized to active therapy had longer life expectancy free from CV death but had a small increase in the competing risk of non-CV death.

Antihypertensive activity during inhibition of neutral endopeptidase and angiotensin converting enzyme

The specific neutral endopeptidase (NEP) inhibitor, SQ 29,072 (7-[2-(mercaptomethyl)-1-oxo-3-phenylpropyl]amino]heptanoic acid), was studied in conscious spontaneously hypertensive rats (SHRs) and in DOCA/salt hypertensive rats during inhibition of angiotensin-converting enzyme (ACE) activity with captopril or SQ 27,519 (the free acid of fosinopril). In the SHR, the maximal depressor responses to the combination of SQ 29,072 and SQ 27,519 (-44 +/- 4 mm Hg) were greater than the responses to any of the inhibitors given alone (-26 +/- 5, -40 +/- 10, and -28 +/- 6 mm Hg for SQ 29,072, captopril, and SQ 27,519, respectively). In contrast, the maximal antihypertensive activities of SQ 29,072 were the same in conscious DOCA/salt hypertensive rats infused with saline, captopril, or SQ 27,519 (-54 +/- 10, -51 +/- 8, and -58 +/- 11 mm Hg, respectively), indicating a lack of synergism in this model. In agreement, SQ 28,133 [N-[2-(mercaptomethyl)-1-oxo-3-phenylpropyl]-L-leucine], a compound that inhibits both NEP and ACE, elicited significant depressor activities in both SHR and DOCA/salt hypertensive rats. In conclusion, a selective NEP inhibitor enhanced the depressor activity of ACE inhibitors in the conscious SHR, indicating that these agents may be effectively combined for treatment of some types of hypertension.

Renal and depressor effects of SQ 29,072, a neutral endopeptidase inhibitor, in conscious hypertensive rats

The depressor and renal responses to the neutral endopeptidase (NEP) inhibitor, SQ 29,072, were characterized in both the conscious spontaneously hypertensive rat (SHR) and the conscious deoxycorticosterone acetate (DOCA)/salt hypertensive rat. Inhibition of tissue NEP activity by pharmacologically active doses was also ascertained in both hypertensive models. Intravenous administration of 300 mumol/kg of SQ 29,072 significantly reduced mean arterial pressure (MAP), produced modest natriuretic and diuretic responses, and inhibited renal NEP activity by approximately 40% in conscious SHR. Doses of 100 and 300 mumol/kg of SQ 29,072 elicited greater depressor responses (-36 +/- 7 and -41 +/- 8 mm Hg, respectively) in DOCA/salt hypertensive rats than in SHR (-11 +/- 24 and -31 +/- 5 mm Hg, respectively). SQ 29,072 (300 mumol/kg, i.v.) also inhibited renal NEP activity to a greater extent (70%) in DOCA/salt hypertensive rats. Similarly, the depressor responses to exogenous ANP 99-126 (1, 3, and 10 nmol/kg, i.v.) were greater in DOCA/salt hypertensive rats (-16 +/- 4, -38 +/- 6, and -73 +/- 6 mm Hg, respectively) than in the SHR (0 +/- 6, -17 +/- 3, and -24 +/- 3 mm Hg, respectively). Finally, equidepressor doses of SQ 29,072 and ANP 99-126 both increased urine volume as well as sodium and cyclic GMP excretion in conscious DOCA/salt hypertensive rats. In conclusion, the profile of depressor and renal activities produced by SQ 29,072 was consistent with potentiation of endogenous ANP by inhibition of NEP in conscious SHR and DOCA/salt hypertensive rats.

Role of atrial natriuretic peptide in sodium balance in conscious spontaneously hypertensive rats

Sodium and fluid intake were precisely regulated by 3 days of infusion of 0.07, 0.35, or 3.5 mu eq Na/min at rates of 25, 50, or 100 microliters/min in nine groups of conscious spontaneously hypertensive rats (SHR). At each level of sodium and volume intake, the acute depressor and renal responses to three doses of exogenous atrial natriuretic peptide (ANP)-(99-126) were determined in conscious, unrestrained SHR. The natriuretic responses to the highest dose of ANP-(99-126) (150 pmol/min) were independent of the rate of fluid infusion but were highly dependent on the sodium intake. The maximal increases in sodium excretion averaged 0.9 +/- 0.5 (253%), 2.6 +/- 0.5 (302%), and 15.4 +/- 2.1 mu eq.kg-1.min-1 (577%) in SHR maintained on 0.07, 0.35, and 3.5 mu eq Na/min, respectively. In addition, the diuretic but not the depressor responses to ANP-(99-126) were dependent on the sodium intake and were unrelated to the rate of fluid delivery. In separate groups of SHR, 3 days of infusions of 3.5 mu eq Na/min at 25 and 100 microliters/min significantly elevated plasma ANP from 89 +/- 16 to 200 +/- 60 and 159 +/- 24 fmol/ml, respectively. In conclusion, high sodium intake enhanced the renal responses to exogenous ANP-(99-126) despite increases in endogenous peptide concentrations in conscious SHR.

Potentiation of the depressor responses to atrial natriuretic peptides in conscious SHR by an inhibitor of neutral endopeptidase

In previous studies, neutral endopeptidase (NEP) hydrolyzed the Cys105-Phe106 bond of atrial natriuretic peptides (ANP) in vitro. Three such ring-opened peptides derived from ANP 99-126, 103-126, and 103-123 were inactive in conscious rats. In conscious spontaneously hypertensive rats (SHR) in the present study, 100 mumol/kg, intravenously (i.v.) of the NEP inhibitor, SQ 29,072 (7-[[2-(mercaptomethyl)-1-oxo-3-phenyl-propyl]amino]heptanoic acid), significantly increased the area over the curve (AOC) of the depressor response to 3 nmol/kg of ANP 103-126 from 165 +/- 36 to 792 +/- 350, 1,515 +/- 374, and 828 +/- 164 mm Hg.min at 15, 30, and 60 min after inhibitor treatment. Thirty minutes after 3, 10, 30, and 100 mumol/kg of SQ 29,072, the AOC of 3 nmol/kg of ANP 99-126 increased from 175 +/- 59 mm Hg.min in vehicle-treated rats to 296 +/- 100, 318 +/- 34, 632 +/- 194 (p less than 0.05) and 656 +/- 151 (p less than 0.05) mm Hg.min. Furthermore, 100 mumol/kg of SQ 29,072 potentiated the AOC of human ANP 99-126 and 105-126 and rat ANP 99-126, 103-126, and 103-123, suggesting that the exocyclic N-terminal residues and the C-terminal tripeptide did not influence ANP potentiation by SQ 29,072. In contrast, inhibitors of aminopeptidase, angiotensin-converting enzyme (ACE), and serine protease and an arginine vasopressin (AVP) antagonist did not substantially affect the AOC of 3 nmol/kg ANP 99-126. Finally, SQ 29,072 did not alter the activities of bradykinin, AVP, or angiotensin I or II. In conclusion, NEP may inactivate ANP in vivo by cleavage of susceptible bonds within the ANP ring.

Potentiation of renal effects of atrial natriuretic factor-(99-126) by SQ 29,072

Depressor and renal activities of atrial natriuretic factor-(99-126) were determined in conscious, unrestrained spontaneously hypertensive rats treated with a neutral endopeptidase inhibitor, SQ 29,072 (7-[[2-(mercaptomethyl)-1-oxo-3-phenylpropyl]amino]heptanoic acid). SQ 29,072 (100 mumol/kg i.v.) prolonged the transient depressor effects of the peptide for as long as 2 hours. During the first hour after 3, 10, and 30 nmol/kg atrial natriuretic factor, urinary excretion of cyclic 3'5' guanosine monophosphate was significantly increased by 9.2 +/- 3.4, 13.0 +/- 2.2, and 12.7 +/- 4.2 nmol/kg/hr, respectively, in vehicle-treated rats and by 26.9 +/- 7.9, 52.1 +/- 11.1, and 46.4 +/- 12.2 nmol/kg/hr, respectively, in rats given 100 mumol/kg SQ 29,072. During the first hour after 3 and 10 nmol/kg atrial natriuretic factor-(99-126), the sodium loss was 161 +/- 56 and 139 +/- 42 mueq/kg/hr in vehicle-treated rats and was significantly greater (694 +/- 316 and 1,038 +/- 135 mueq/kg/hr) in rats given 100 mumol/kg SQ 29,072. After administration of 3, 10, and 30 mumol/kg SQ 29,072, the area over the curves of the depressor responses to 3 nmol/kg of the peptide increased from 297 +/- 70 to 306 +/- 108, 440 +/- 143, and 669 +/- 186 mm Hg.min, respectively, while the concurrent natriuretic responses rose from 161 +/- 56 to 250 +/- 88, 332 +/- 142, 464 +/- 164, and 694 +/- 316 mueq/kg/hr. In summary, the neutral endopeptidase inhibitor SQ 29,072 increased the magnitudes and especially the durations of the depressor, natriuretic, and cyclic guanosine monophosphate responses to exogenous atrial natriuretic factor-(99-126) in conscious spontaneously hypertensive rats, presumably by inhibition of degradation of atrial natriuretic factor in vivo. In conclusion, neutral endopeptidase inhibition offers an important new technique for enhancement and prolongation of the biological lifetime of atrial natriuretic factor.

Endotoxin-induced changes in copper and zinc metabolism in the Syrian hamster

The temporal response of zinc and copper metabolism to endotoxin administration was examined in Syrian hamsters over a 144-hour period. Serum copper was significantly elevated at 12, 24 and 72 hours after endotoxin, whereas serum zinc was reduced 4-48 hours after treatment. A brief elevation (8 hours) in liver copper concentration and a sustained (72 hours) increase in liver zinc concentration were also observed. The amount of zinc associated with liver metallothionein (MT) progressively increased with time, to a plateau by 24 hours and persisted at the elevated level until 72 hours after endotoxin treatment. In vitro translation of poly (A)+ RNA from liver polyribosomes showed that following endotoxin treatment MTmRNA activity was maximally elevated 6 hours after endotoxin administration and remained elevated 24 and 48 hours thereafter. Slab gel electrophoresis of serum proteins indicated changes in a stainable protein comigrating with purified ceruloplasmin after endotoxin administration. Pooled gingival tissue from endotoxin-treated hamsters demonstrated a consistently elevated copper content 12-144 hours after treatment. Endotoxin isolated from Bacteroides melaninogenicus was more effective in elevating gingival and serum copper and gingival zinc than Escherichia coli endotoxin. It was concluded that endotoxin administration elicits responses that result in enhanced metaollthionein mRNA activity. In addition, Cu and Zn concentrations in serum, liver and gingival tissue are influenced by different endotoxins to different degrees.