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HIV Infections Phase 3 Completed NCT01061151

PROMISE: Complete Statistical Analysis of Antiretroviral Strategies in HIV Prevention

An independent statistical review of the randomized phase 3 PROMISE trial evaluating strategies to reduce mother-to-child transmission of HIV in resource-limited countries, with emphasis on infant infection, maternal safety, adverse pregnancy outcomes, postpartum transmission, and maternal health.

Study period: March 1, 2011  ·  Primary completion: September 30, 2016  ·  Enrollment: 3,747
Scope of this record

This page provides an independent statistical analysis and educational interpretation of publicly reported results. ClinicalTrials.gov provides the official trial registry record.

1. Trial at a Glance

PROMISE was a randomized, double-blind, parallel phase 3 prevention trial evaluating antiretroviral strategies intended to reduce mother-to-child transmission of HIV and assess maternal and infant outcomes.

3,747
Enrollment
Randomized trial
8
Arms
Parallel design
3
Primary analyses
With estimate + CI
21
Analyses posted
13 primary analyses
FeaturePROMISE
Trial namePROMISE
ClinicalTrials.gov identifierNCT01061151
PhasePhase 3
ConditionHIV Infections
Primary purposePrevention
AllocationRandomized
Design modelParallel
MaskingDouble
Enrollment3,747
Lead sponsorNational Institute of Allergy and Infectious Diseases (NIAID)
Sponsor typeNIH
StatusCompleted

2. Clinical Question

The PROMISE trial addressed several related prevention and maternal-health questions across antepartum, postpartum, and maternal-health components. The statistical structure is therefore more complex than a single two-arm comparison.

Population

Mothers and their infants participating in a randomized phase 3 prevention trial of strategies intended to reduce mother-to-child transmission of HIV.

Interventions

The registry identifies zidovudine, nevirapine, emtricitabine-tenofovir disoproxil fumarate, lamivudine-zidovudine, lopinavir-ritonavir, infant short-course and extended nevirapine, continuation or discontinuation of triple antiretroviral therapy, and no intervention among the study interventions.

Primary questions

Whether randomized antiretroviral strategies differed in confirmed infant HIV infection, maternal and infant adverse events, obstetrical complications, adverse pregnancy outcomes, and maternal progression to AIDS-defining illness or death.

Statistical framework

Binary endpoints were evaluated with Fisher exact tests in several pairwise comparisons, while time-to-event outcomes used hazard ratios, log-rank testing, and two-sided Z tests where specified.

3. Trial Design

01
Randomize3,747 participants
02
AntepartumMaternal prophylaxis strategies
03
PostpartumMaternal vs infant prophylaxis
04
Maternal healthContinue vs discontinue triple ARVs
05
Follow-upInfant and maternal endpoints
Allocation
Randomized allocation was used across the trial's parallel treatment components.
Masking
The trial is identified in the registry as double-masked.
Purpose
The primary purpose was prevention of mother-to-child transmission of HIV and related maternal and infant outcomes.
Protocol periods
Several analyses explicitly distinguish Periods 1 and 2, with Arm C available under the last protocol version.
ANTEPARTUM COMPONENT

Maternal antiretroviral strategies

  • Arm A: maternal ZDV + single-dose NVP + TRV tail
  • Arm B: maternal triple ARV with 3TC-ZDV / LPV-RTV
  • Arm C: maternal triple ARV with FTC-TDF / LPV-RTV
POSTPARTUM COMPONENT

Maternal vs infant prophylaxis

  • Postpartum Arm A: maternal prophylaxis
  • Postpartum Arm B: infant prophylaxis
  • Confirmed infant HIV infection was analyzed at the mother-infant pair level.
MATERNAL HEALTH COMPONENT

Triple ARV continuation

  • Arm A: continue triple ARVs
  • Arm B: discontinue triple ARVs
  • Outcome: progression to AIDS-defining illness or death
ADDITIONAL INTERVENTIONS

Infant and other strategies

  • Infant short-course nevirapine
  • Infant extended nevirapine
  • Truvada tail
  • No intervention

4. Primary Endpoints

The registry identifies seven primary endpoints spanning the antepartum, postpartum, and maternal-health components. Their statistical structures differ substantially: some are binary outcomes measured at a defined visit or birth, while others are time-to-event outcomes requiring follow-up over time.

Primary endpointTime frameEndpoint structure
Antepartum: Number of Confirmed Infant HIV Infections Measured at birth or Week 1 study visit Binary; maternal-infant analysis
Antepartum: Number of Mothers With Grade 3 or Higher Toxicities and Selected Grade 2 Hematologic, Renal, and Hepatic Adverse Events Through the Week 1 postpartum study visit Binary safety endpoint
Antepartum: Number of Mothers With Obstetrical Complications Through the Week 1 postpartum study visit Binary endpoint
Antepartum: Number of Mothers With Adverse Pregnancy Outcomes Measured at birth Composite binary endpoint
Postpartum: Incidence of Confirmed Infant HIV Infection Through recommended breastfeeding duration, complete cessation of breastfeeding, or 18 months of age, whichever comes first Time-to-event
Postpartum: Incidence of Grade 3 or Higher Adverse Events and Selected Grade 2 Hematologic, Renal, and Hepatic Adverse Events Through recommended breastfeeding duration, complete cessation of breastfeeding, or 18 months of age, whichever comes first Time-to-event
Maternal Health: Incidence of Progression to AIDS-defining Illness or Death From study entry until July 7, 2015; average 94 weeks of follow-up Time-to-event

Endpoint definitions

Confirmed infant HIV infection in the antepartum component was defined as HIV nucleic acid test positivity from a specimen drawn at birth (Day 0–5) or Week 1 (Day 6–14), confirmed by HIV NAT positivity from a second specimen collected at a different time point.

Confirmed infant HIV infection in the postpartum component was defined as infant HIV NAT positivity from any post-randomization visit after the Week 1 visit, confirmed by HIV NAT positivity from a second specimen collected at a different time point. The analysis was conducted at the mother-infant pair level, with the worst outcome for multiple births counted as a single event.

Adverse pregnancy outcomes were defined as a composite including stillbirth, preterm delivery (<37 weeks), low birth weight (<2,500 grams), and congenital anomalies.

Maternal progression was defined as progression to an AIDS-defining illness or death. AIDS-defining illness referred to WHO Clinical Stage 4 illnesses identified in the protocol, with events reviewed and confirmed by an endpoint review group.

5. Analysis Populations and Unit of Analysis

A major statistical feature of PROMISE is that the unit of analysis differs by endpoint. The registry explicitly describes mother-level, mother-infant pair-level, and time-to-event analyses, while maintaining the intent-to-treat principle for the reported primary efficacy comparisons.

Endpoint / analysisPopulation and unit
Antepartum infant HIV infection Live births with HIV test results; maternal-infant set; worst outcome summarized for multiple births; intent-to-treat.
Postpartum infant HIV infection Mother-infant pairs; one pair with infection at randomization was excluded; 35 pairs without post-randomization HIV results were censored at randomization; intent-to-treat.
Maternal health Mothers on HAART in the Antepartum component and eligible and randomized within the Postpartum or Maternal Health components; intent-to-treat.
Antepartum safety Mothers without safety data after baseline were excluded from the corresponding safety analyses; intent-to-treat principle.
Postpartum maternal adverse events All mothers; 15 mothers without post-randomization data were censored at randomization; intent-to-treat.

These distinctions matter because a clinical trial can preserve randomized treatment assignment while using different observation units for different outcomes. A mother-infant pair is not equivalent to an individual infant, and a binary outcome at birth is not equivalent to an event observed over variable follow-up time.

6. Statistical Methodology

Fisher exact test for binary endpoints

The registry reports Fisher exact testing for several pairwise comparisons of antepartum safety, obstetrical complications, and adverse pregnancy outcomes. Fisher's exact test is appropriate for a two-group comparison of a binary outcome when the exact distribution of the observed contingency table is used rather than relying on a large-sample approximation.

Binary comparison
Arm A vs Arm B  →  event / no event in each randomized group

The resulting P-value addresses whether the observed allocation of binary outcomes is inconsistent with the null hypothesis of no association under the specified comparison. It does not quantify the size of the treatment difference by itself.

Risk difference for antepartum infant HIV infection

The principal posted estimate for the antepartum infant HIV endpoint was a risk difference comparing the combined Arm B and Arm C group with Arm A.

Risk difference
RD = RiskArm B+C − RiskArm A

A negative risk difference means that the observed risk in the combined Arm B and Arm C group was lower than the risk in Arm A by the magnitude of the estimate.

Hazard ratios for time-to-event endpoints

The postpartum infant HIV and maternal-health primary endpoints were reported using hazard ratios. A hazard ratio compares the instantaneous event rates between randomized groups over the observed follow-up under the time-to-event model.

Hazard ratio interpretation
HR < 1  →  lower estimated instantaneous event rate in the first-named group

A hazard ratio is not a risk ratio and does not directly state the percentage of participants who eventually experienced the event. Its interpretation also depends on the time-to-event framework and the treatment contrast being reported.

Log-rank testing

The maternal-health progression endpoint used a log-rank test, and the postpartum maternal adverse-event endpoint also used a log-rank analysis. The log-rank framework compares event-time distributions while incorporating censoring during follow-up.

Two-sided Wald / Z tests

The registry reports two-sided Z tests for the secondary endpoint evaluating overall and HIV-free infant survival through 104 weeks of age. The analyses compare the reported proportional probability between specified antepartum treatment groups.

Repeated confidence intervals and interim monitoring

The antepartum infant HIV analysis used a repeated confidence interval based on a Lan-DeMets approach with an O'Brien-Fleming type I error spending function to preserve an experiment-wise type I error rate of 5%. The postpartum infant HIV confidence interval was also described as a repeated confidence interval.

7. Primary Results: Antepartum Infant HIV Infection

The registry reports a prespecified comparison in which Antepartum Arms B and C were combined and compared with Arm A. The analysis included Periods 1 and 2, used the intent-to-treat principle, and summarized the worst outcome for multiple births at the maternal-infant level.

Risk difference in confirmed infant HIV infection

−1.3

96.5% CI: −2.1 to −0.4

Arm B + Arm C versus Arm A

Clinical Biostats interpretation

The reported risk difference of −1.3 means that the estimated risk of confirmed infant HIV infection was lower in the combined Arm B and Arm C group than in Arm A by 1.3 units on the risk-difference scale used for the registry result.

The 96.5% confidence interval from −2.1 to −0.4 describes the statistical uncertainty around that estimated difference under the repeated-confidence-interval framework. Because the entire interval is below zero, the interval is consistent with a lower risk in the combined group for this prespecified comparison.

The confidence interval is about uncertainty in the estimated group difference; it is not a range containing individual patients' treatment effects. The risk difference also does not describe the relative reduction in risk, nor does it establish that every individual infant benefits.

The reported comparison was a priori planned and incorporated Lan-DeMets alpha spending with an O'Brien-Fleming type function. That design feature is important because the confidence level is not simply the ordinary 95% interval from a single unmonitored analysis.

Why the comparison combined Arms B and C

The registry identifies the combination of Arm B and Arm C minus Arm A as the a priori planned comparison. Statistically, combining two intervention groups creates a single contrast against Arm A rather than treating the three arms as three independent pairwise confirmatory tests.

FeatureReported analysis
EndpointConfirmed infant HIV infection
Time frameBirth or Week 1 study visit
ComparisonAntepartum Arm B + Arm C vs Arm A
Effect measureRisk difference
Estimate−1.3
Confidence interval96.5% CI −2.1 to −0.4
Analysis principleIntent-to-treat
Multiplicity / monitoringRepeated CI; Lan-DeMets approach; O'Brien-Fleming type I error spending function

8. Primary Results: Postpartum Infant HIV Infection

The postpartum infant HIV endpoint was analyzed as a time-to-event outcome through the site-recommended duration of breastfeeding, complete cessation of breastfeeding, or 18 months of age, whichever came first.

Hazard ratio for confirmed infant HIV infection

1

96% CI: 0.3–3.1

Postpartum Arm A: Maternal Prophylaxis vs Postpartum Arm B: Infant Prophylaxis

Clinical Biostats interpretation

The reported hazard ratio of 1 indicates that the estimated instantaneous rate of confirmed infant HIV infection was equal between the two postpartum strategies under the fitted time-to-event comparison.

The 96% confidence interval of 0.3 to 3.1 is wide relative to the point estimate. It includes values corresponding to a lower event rate as well as values corresponding to a higher event rate in the first-named group. The interval therefore communicates substantial statistical uncertainty around the point estimate.

The hazard ratio should not be interpreted as saying that the cumulative probability of infection was exactly identical at every follow-up time. A hazard ratio is a relative event-rate measure, not a direct comparison of final cumulative risks.

The analysis included 35 mother-infant pairs with no post-randomization HIV test results and censored them at randomization. One pair with infection at the date of randomization was excluded. These censoring and inclusion rules are important because time-to-event estimates depend on how incomplete follow-up is handled.

FeatureReported analysis
EndpointIncidence of confirmed infant HIV infection
Follow-upRecommended breastfeeding duration, complete cessation of breastfeeding, or 18 months of age, whichever comes first
ComparisonPostpartum Arm A vs Postpartum Arm B
Effect measureHazard ratio
Estimate1
Confidence interval96% CI 0.3–3.1
Analysis principleIntent-to-treat
Censoring35 mother-infant pairs with no post-randomization HIV tests censored at randomization

9. Primary Results: Maternal Progression to AIDS-Defining Illness or Death

The maternal-health component evaluated progression to an AIDS-defining illness or death from study entry through July 7, 2015, with an average of 94 weeks of follow-up. The registry reports a log-rank analysis and a hazard ratio comparing continuation with discontinuation of triple antiretroviral therapy.

Hazard ratio for progression or death

0.55

95% CI: 0.14–2.08   ·   P = 0.37

Arm A: Continue Triple ARVs vs Arm B: Discontinue Triple ARVs

Clinical Biostats interpretation

The hazard ratio of 0.55 means that the estimated instantaneous event rate in the continuation group was 55% of that in the discontinuation group under the reported time-to-event analysis. Expressed descriptively, the estimate corresponds to a 45% lower estimated hazard in Arm A relative to Arm B.

The estimate alone should not be interpreted as a 45% reduction in cumulative risk, because a hazard ratio is not the same measure as a risk ratio or risk difference.

The 95% confidence interval of 0.14 to 2.08 is wide and includes 1.0. It is therefore compatible with a range of treatment effects, including substantially lower and higher event hazards in the continuation group.

The reported P = 0.37 describes the statistical evidence against the null hypothesis for the specified comparison; it is not a measure of effect size and does not tell us how clinically important an observed hazard ratio is.

The registry identifies the analysis as a log-rank comparison with an intent-to-treat principle. As with other hazard-ratio analyses, interpretation of a single HR also depends on the appropriateness of the time-to-event model and the relationship between hazards over follow-up.

10. Other Primary Safety and Pregnancy Results

The registry contains additional primary endpoint analyses for maternal toxicity, obstetrical complications, adverse pregnancy outcomes, and postpartum adverse events. These analyses use categorical or time-to-event methods rather than a single common effect measure.

Antepartum maternal toxicities

ComparisonMethodP-valuePeriod
Antepartum Arm A vs Arm BFisher exact0.008Periods 1 and 2
Antepartum Arm A vs Arm CFisher exact0.77Period 2
Antepartum Arm B vs Arm CFisher exact>0.99Period 2

The endpoint included Grade 3 or higher toxicities and selected Grade 2 hematologic, renal, and hepatic adverse events through the Week 1 postpartum study visit. Events were graded using the DAIDS AE Grading Table identified in the registry.

Antepartum obstetrical complications

ComparisonMethodP-valuePeriod
Antepartum Arm A vs Arm BFisher exact0.30Periods 1 and 2
Antepartum Arm A vs Arm CFisher exact0.64Period 2
Antepartum Arm B vs Arm CFisher exact0.06Period 2

Obstetrical complications included deaths, diagnoses, signs or symptoms, chemistry laboratory tests, or hematological laboratory tests with grades of 3 or worse, with the specified MedDRA pregnancy, puerperium, and perinatal classifications.

Adverse pregnancy outcomes

ComparisonMethodP-valuePeriod
Antepartum Arm A vs Arm BFisher exact<0.001Periods 1 and 2
Antepartum Arm A vs Arm CFisher exact0.04Period 2
Antepartum Arm B vs Arm CFisher exact0.46Period 2

The composite was assessed at birth and included stillbirth, preterm delivery (<37 weeks), low birth weight (<2,500 grams), and congenital anomalies. Multiple gestation pregnancies were summarized at the unique mother level.

Postpartum maternal adverse events

Time-to-event comparison

P = 0.98

Log-rank test  ·  Postpartum Arm A vs Postpartum Arm B

The endpoint was the incidence of Grade 3 or higher adverse events and selected Grade 2 hematologic, renal, and hepatic adverse events through the recommended breastfeeding duration, complete cessation of breastfeeding, or 18 months of age, whichever came first. All mothers were included, with 15 mothers without post-randomization data censored at randomization.

11. Serious Adverse Events by Arm

The registry reports serious adverse events as affected participants divided by the number at risk for each maternal and infant treatment grouping.

GroupAffected / at risk
Mother, AP ZDV + sdNVP + TRV Tail267 / 1,547
Mother, AP Triple ARV (3TC-ZDV / LPV-RTV)276 / 1,545
Mother, AP Triple ARV (FTC-TDF / LPV-RTV)69 / 445
Mother, LP10 / 204
Infant, mother received ZDV + sdNVP + TRV Tail296 / 1,500
Infant, mother received Triple ARV (3TC-ZDV / LPV-RTV)287 / 1,478
Infant, mother received Triple ARV (FTC-TDF / LPV-RTV)113 / 429
Infant, LP20 / 204

These counts describe affected participants relative to the reported number at risk. They are not themselves effect estimates, confidence intervals, or hypothesis tests. A safety comparison requires attention to the denominator, follow-up, endpoint definition, and whether participants can contribute more than one event.

12. Secondary Endpoint Results: Infant Survival Through 104 Weeks

The registry reports secondary analyses of the probability of overall and HIV-free infant survival through 104 weeks of age, measured from birth. The analyses used two-sided Z tests and distinguish between the Periods 1&2 group and the period 2 group.

Overall survival

ComparisonAnalysis subsetP-value
Antepartum Arm A vs Arm BPeriods 1&20.16
Antepartum Arm A vs Arm BPeriod 20.0156
Antepartum Arm A vs Arm CPeriod 20.31
Antepartum Arm B vs Arm CPeriod 20.0022

HIV-free survival

ComparisonAnalysis subsetP-value
Antepartum Arm A vs Arm BPeriods 1&20.13
Antepartum Arm A vs Arm BPeriod 20.44
Antepartum Arm A vs Arm CPeriod 20.24
Antepartum Arm B vs Arm CPeriod 20.26

The Periods 1&2 group consists of infants born to mothers randomized to Arms A and B throughout the PROMISE study under both protocol versions. The period 2 group contains infants born to mothers randomized during the last protocol version. Because Arm C was available to all participants only under the last protocol version, the period 2 analysis allows comparisons involving Arm C within that protocol version.

Only one infant was included per pregnancy, specifically the infant with the earliest failure time. This is an important unit-of-analysis rule because multiple births can otherwise create statistical dependence between observations from the same pregnancy.

13. Interim Monitoring and Repeated Confidence Intervals

The antepartum infant HIV analysis explicitly incorporates interim-analysis methodology. The registry describes a repeated confidence interval using the Lan-DeMets approach with an O'Brien-Fleming type I error spending function and an experiment-wise type I error rate of 5%.

Why interim monitoring changes the analysis

When accumulating trial data are reviewed more than once, repeatedly applying an ordinary fixed-sample significance threshold can increase the probability of a false-positive finding. Alpha-spending methods address that repeated-look structure.

O'Brien-Fleming-type spending

An O'Brien-Fleming-type approach generally spends relatively little type I error early and more as the information available for the final analysis accumulates.

PROMISE design feature
Lan-DeMets approach + O'Brien-Fleming type I error spending  →  experiment-wise type I error rate of 5%

The repeated-confidence-interval framework is why the antepartum infant HIV result is reported with a 96.5% confidence interval rather than simply a conventional 95% interval.

This is an important distinction between the point estimate and its uncertainty interval. The interval level reflects the trial's sequential monitoring structure, whereas the estimate itself describes the observed treatment contrast.

14. Intention-to-Treat Analysis

The registry repeatedly identifies the intent-to-treat principle for the primary analyses. Under ITT, participants remain associated with the randomized treatment group for the primary comparison rather than being reassigned based on treatment received or subsequent adherence.

Why ITT matters here

Randomization creates the principal basis for comparing the treatment strategies. Preserving randomized assignment helps maintain comparability between groups even when follow-up, treatment exposure, or other post-randomization circumstances differ.

ITT does not eliminate missing data or censoring. The postpartum infant HIV analysis, for example, explicitly addresses 35 mother-infant pairs with no post-randomization HIV tests by censoring them at randomization. The statistical consequences of incomplete follow-up therefore remain relevant even within an ITT analysis.

15. Statistical Methods Explained

Why was Fisher exact testing used for several primary endpoints?

Several primary endpoints were binary participant-level outcomes, including maternal toxicities, obstetrical complications, and adverse pregnancy outcomes. Fisher exact testing provides an exact test for the allocation of binary outcomes between two groups. The registry specifically identifies Fisher exact testing for the reported pairwise comparisons.

What does a risk difference of −1.3 mean?

A risk difference is calculated as the risk in one comparison group minus the risk in the reference group. Here, the reported −1.3 compares the combined Antepartum Arms B and C with Arm A. The negative sign indicates a lower estimated risk in the combined group on the reported scale.

Why is the confidence interval 96.5% rather than 95% for the antepartum HIV result?

The registry describes a repeated confidence interval based on the Lan-DeMets approach with an O'Brien-Fleming type I error spending function. Sequential monitoring requires adjustment of the inference so that the overall type I error remains controlled. The 96.5% interval reflects that repeated-analysis framework.

What does the postpartum HIV hazard ratio of 1.0 mean?

The point estimate of 1.0 indicates equal estimated instantaneous event rates between the two postpartum strategies under the reported hazard-ratio analysis. It does not mean that the underlying cumulative infection probabilities are necessarily identical at every time point, nor does it imply that uncertainty is absent. The corresponding 96% CI of 0.3–3.1 is wide.

Why is the maternal-health result reported with both a hazard ratio and a log-rank P-value?

The hazard ratio describes the relative event-rate contrast, while the log-rank test evaluates the evidence for a difference between the time-to-event distributions. They answer related but different statistical questions. A P-value is not a substitute for the effect estimate or its confidence interval.

Why does censoring matter for the postpartum analyses?

Time-to-event methods use each participant's available follow-up until an event or censoring. In the postpartum infant HIV analysis, 35 mother-infant pairs without post-randomization HIV test results were censored at randomization. The validity of time-to-event inference depends on appropriate handling and assumptions concerning censoring.

Why were only one infant per pregnancy used in the 104-week survival analyses?

The registry specifies that only one infant was included per pregnancy, selecting the infant with the earliest failure time. This avoids treating multiple infants from the same pregnancy as statistically independent observations and creates a defined pregnancy-level analysis rule.

16. Understanding the P-values

P-values appear throughout the posted primary and secondary analyses, but they should be interpreted together with the effect measure, confidence interval, endpoint definition, and comparison structure.

Endpoint / comparisonP-valueEffect measure reported?
Antepartum maternal toxicity, Arm A vs B0.008No estimate posted in the statistical analysis
Antepartum maternal toxicity, Arm A vs C0.77No estimate posted in the statistical analysis
Antepartum maternal toxicity, Arm B vs C>0.99No estimate posted in the statistical analysis
Antepartum obstetrical complications, Arm A vs B0.30No estimate posted in the statistical analysis
Antepartum obstetrical complications, Arm A vs C0.64No estimate posted in the statistical analysis
Antepartum obstetrical complications, Arm B vs C0.06No estimate posted in the statistical analysis
Antepartum adverse pregnancy outcomes, Arm A vs B<0.001No estimate posted in the statistical analysis
Antepartum adverse pregnancy outcomes, Arm A vs C0.04No estimate posted in the statistical analysis
Antepartum adverse pregnancy outcomes, Arm B vs C0.46No estimate posted in the statistical analysis
Postpartum maternal adverse events0.98No estimate posted in the statistical analysis
Maternal progression to AIDS-defining illness or death0.37HR 0.55; 95% CI 0.14–2.08
P-values do not measure effect size

A small P-value can occur with a modest effect when information is abundant, while a clinically important estimate can have a larger P-value when uncertainty is substantial. The PROMISE results illustrate why the effect estimate and confidence interval should be considered alongside the P-value whenever they are available.

17. Secondary Analyses and Protocol Periods

The secondary infant-survival analyses are structured around protocol periods. This is not simply a matter of labeling: the available treatment arms changed between protocol versions, which affects which randomized comparisons can be made without mixing incompatible treatment availability.

Analysis groupRegistry definitionPurpose
Periods 1&2 Infants born to mothers randomized in Arms A and B throughout the PROMISE study under both protocol versions. Allows the Arm A vs Arm B comparison across the study.
Period 2 Infants born to mothers randomized during the last protocol version only. Allows comparison involving Arm C because Arm C was available to all under the last protocol version.

This structure is a useful example of why protocol history can become part of statistical analysis. When treatment availability changes, combining all observations without accounting for the protocol period can create an inappropriate comparison.

18. Primary Endpoint Comparison Map

ComponentEndpointComparisonMethodEffect measure
Antepartum Confirmed infant HIV infection Arm B + C vs Arm A Repeated CI framework Risk difference −1.3; 96.5% CI −2.1 to −0.4
Antepartum Maternal toxicity A vs B; A vs C; B vs C Fisher exact P-values
Antepartum Obstetrical complications A vs B; A vs C; B vs C Fisher exact P-values
Antepartum Adverse pregnancy outcomes A vs B; A vs C; B vs C Fisher exact P-values
Postpartum Confirmed infant HIV infection Maternal vs infant prophylaxis Time-to-event analysis HR 1.0; 96% CI 0.3–3.1
Postpartum Maternal adverse events Maternal vs infant prophylaxis Log-rank P = 0.98
Maternal health AIDS-defining illness or death Continue vs discontinue triple ARVs Log-rank HR 0.55; 95% CI 0.14–2.08; P = 0.37

19. What the Hazard Ratio Does — and Does Not — Mean

Maternal-health HR = 0.55

The reported HR of 0.55 corresponds to an estimated instantaneous event rate in the continuation group that was 55% of that in the discontinuation group under the reported analysis. A simple descriptive transformation is a 45% lower estimated hazard.

It does not mean that 45% fewer mothers experienced the event, that 45% of mothers were protected, or that every individual mother had a 45% reduction in probability of progression or death.

Why the confidence interval matters

The 95% CI of 0.14–2.08 shows substantial uncertainty around the HR estimate. Because the interval includes 1.0, the data are compatible with a range of relative event rates in either direction under the specified statistical framework.

Why the point estimate is not enough

The same principle applies to the postpartum infant HIV estimate of 1. The point estimate alone suggests equal instantaneous event rates, but the 96% CI of 0.3–3.1 indicates considerable uncertainty around that estimate.

20. What the Risk Difference Does — and Does Not — Mean

Antepartum infant HIV risk difference

The reported RD of −1.3 is an absolute difference between the combined Arm B and Arm C group and Arm A. Unlike a hazard ratio, a risk difference is expressed directly on the outcome-risk scale.

A negative RD indicates lower risk in the first group relative to the reference group. The magnitude should be interpreted using the endpoint's specific risk scale rather than converted into a relative percentage reduction.

Repeated-inference caution: the associated 96.5% confidence interval reflects the sequential monitoring framework. It should not be read as though it were an ordinary single-look 95% confidence interval.

21. Time-to-Event Analysis in PROMISE

Three primary outcomes use time-to-event concepts: postpartum confirmed infant HIV infection, postpartum maternal adverse events, and maternal progression to AIDS-defining illness or death. Secondary overall and HIV-free infant survival through 104 weeks also use a time-to-event framework.

Event

An event occurs when the prespecified outcome is observed, such as confirmed infant HIV infection or maternal progression to an AIDS-defining illness or death.

Censoring

A participant may contribute follow-up until a defined censoring point when the event has not been observed.

Hazard ratio

The HR compares instantaneous event rates between groups over follow-up rather than simply comparing the final proportion of participants with an event.

Log-rank test

The log-rank test compares the distributions of event times while accounting for censored observations.

The postpartum infant HIV analysis illustrates the importance of follow-up definition. Its observation window extends through the recommended breastfeeding duration, complete cessation of breastfeeding, or 18 months of age, whichever comes first. The maternal-health endpoint instead runs from study entry until July 7, 2015, with an average of 94 weeks of follow-up.

22. Safety Interpretation

Safety is represented by several distinct endpoint definitions rather than one global safety measure. The antepartum primary safety endpoint focuses on Grade 3 or higher toxicities and selected Grade 2 hematologic, renal, and hepatic adverse events through the Week 1 postpartum visit. The postpartum safety endpoint extends through the breastfeeding-related follow-up period or 18 months of age.

Safety domainTime frameAnalysis
Antepartum maternal toxicities Through Week 1 postpartum Fisher exact comparisons
Antepartum obstetrical complications Through Week 1 postpartum Fisher exact comparisons
Adverse pregnancy outcomes At birth Fisher exact comparisons
Postpartum maternal adverse events Breastfeeding duration, cessation, or 18 months Log-rank test
Serious adverse events Reported by maternal and infant treatment grouping Affected / at-risk counts

These endpoints differ in severity, timing, and statistical structure. Consequently, a single P-value should not be treated as a summary of overall safety. A complete interpretation considers the endpoint definition, denominator, follow-up period, event timing, and comparison structure.

23. Limitations

24. Why This Trial Matters Statistically

PROMISE is a useful statistical teaching case because it combines several common clinical-trial problems within one randomized program: multiple treatment components, different units of analysis, binary and time-to-event endpoints, protocol-period changes, interim monitoring, repeated confidence intervals, censoring, and intent-to-treat analysis.

ConceptHow it appears in PROMISE
RandomizationRandomized allocation across the trial's parallel components
BlindingDouble-masked design
Intent-to-treatUsed in the reported primary analyses
Risk differencePrimary antepartum infant HIV comparison
Hazard ratioPostpartum infant HIV and maternal-health primary analyses
Fisher exact testAntepartum toxicity, obstetrical complication, and adverse pregnancy comparisons
Log-rank testMaternal-health progression and postpartum maternal adverse-event analyses
Wald / Z testSecondary infant overall and HIV-free survival comparisons
Confidence intervalsRisk-difference and hazard-ratio uncertainty estimates
Interim analysisLan-DeMets alpha spending with an O'Brien-Fleming-type function
CensoringExplicitly specified for incomplete postpartum follow-up
Protocol periodsPeriod 2 distinguished because Arm C became available to all under the last protocol version

25. Related Tutorials

Learn more about the methods used in this trial:

26. Related Calculators

27. Sources

Continue through the Clinical Biostats knowledge graph

Connect the trial's endpoints and statistical methods to deeper biostatistics tutorials and practical statistical calculators.

28. Record Summary

PROMISE provides a detailed example of how a large randomized prevention trial can require several statistical frameworks rather than a single universal analysis. The primary analyses include a risk difference for antepartum infant HIV infection, hazard ratios for postpartum infant HIV infection and maternal progression, Fisher exact testing for several binary maternal and pregnancy outcomes, and log-rank testing for time-to-event endpoints. Secondary analyses add two-sided Z tests for infant overall and HIV-free survival through 104 weeks.

The statistical interpretation depends on preserving the distinction between effect size, uncertainty, and hypothesis testing. The antepartum infant HIV comparison reports a risk difference of −1.3 with a 96.5% confidence interval of −2.1 to −0.4 under a repeated-confidence-interval framework. The postpartum infant HIV analysis reports an HR of 1 with a 96% CI of 0.3–3.1. The maternal-health analysis reports an HR of 0.55 with a 95% CI of 0.14–2.08 and P = 0.37.

The broader statistical lesson is that randomized treatment comparisons must be interpreted in the context of the endpoint definition, analysis population, unit of analysis, censoring, protocol period, multiplicity, and inferential framework. PROMISE illustrates each of these issues within a single clinical-trial program.

Clinical Biostats methodology: The most informative trial interpretation combines the reported effect measure, its confidence interval, the hypothesis-testing framework, and the design features that determine how the result should be understood.