Signal-rich and signal-poor: Divergent detection of early bacterial sepsis and latent viral complications after hematopoietic stem cell transplantation in the FDA adverse event reporting system

Abstract Background Bacterial sepsis, cytomegalovirus (CMV) reactivation, Epstein–Barr virus post-transplant lymphoproliferative disorder (EBV-PTLD), and invasive fungal infection (IFI) are canonical threats after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Pharmacovigilance databases such as the FDA Adverse Event Reporting System (FAERS) provide population-scale insights but are limited by under-reporting and variable clinical detail. Whether FAERS differentially captures acute, high-severity events (e.g., septic shock) versus protocol-managed viral complications (e.g., pre-emptively treated CMV DNAemia) remains uncertain and has implications for safety signal interpretation in transplantation. Methods We analyzed FAERS reports from January 2014 to June 2025. Allo-HSCT cases were identified using MedDRA indication terms, with a drug-based heuristic classifying records listing a graft-versus-host disease (GVHD) prophylactic agent (e.g., tacrolimus, cyclosporine, sirolimus, or post-transplant cyclophosphamide) as allogeneic. Autologous HSCT (auto-HSCT) served as a biologic comparator. Valid transplant and event dates yielded 2,208 allo and 178 auto recipients. Four infection clusters, bacterial sepsis, CMV, EBV-PTLD, and IFI, were captured using exact and substring MedDRA searches. Events were anchored to transplant date and classified as Early (0–100 days) or Late (>100 days). We calculated incidence proportions, crude risk ratios (RR), reporting odds ratios (ROR), and Bayesian Information Components (IC₂₅), using 0.5 continuity corrections. Results Early bacterial sepsis occurred in 118 of 2,208 allo recipients (5.3%) versus 2 of 178 auto recipients (1.1%) (RR 4.8, 95% CI 1.1–13.9; ROR 3.9, 95% CI 1.11–13.9). Late sepsis rates were similar (1.9% vs 2.8%; ROR 0.4, 95% CI 0.19–1.01). CMV reactivation was infrequent: Early CMV occurred in 46 allo (2.1%) and 3 auto (1.7%) cases (ROR 1.0, 95% CI 0.34–3.03); Late CMV was reported in 10 allo (0.5%) and 3 auto (1.7%) recipients (ROR 0.17, 95% CI 0.05–0.61). Contemporary meta-analyses report 10–20% clinically significant CMV incidence despite letermovir prophylaxis, underscoring under-ascertainment in FAERS. EBV-PTLD (six Early, five Late) and IFI (two Early) were too sparse for stable ROR estimation, despite known registry-reported rates of 1–3%. Only Early sepsis yielded a positive IC₂₅; all others were neutral or negative, mirroring ROR trends. Conclusions FAERS functions as a “signal-rich” detector for sudden, high-severity complications such as early bacterial sepsis but is “signal-poor” for protocol-managed or indolent infections like CMV or EBV-PTLD. The clear sepsis signal aligns with prospective bloodstream infection studies, validating FAERS for acute event surveillance. Conversely, the lack of allo-specific CMV or EBV-PTLD signal likely reflects spontaneous-report limitations rather than biological equivalence. Regulators and investigators should prioritize FAERS for severe, early toxicities, while relying on transplant registries and EHR linkages to track prophylaxis-modulated or slow-onset infections. Future integration of FAERS with registry denominators may help calibrate pharmacovigilance sensitivity across the post-HSCT infection spectrum.

Authors

Institutions

Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-2509
Primary Topic
Neutropenia and Cancer Infections
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Signal-rich and signal-poor: Divergent detection of early bacterial sepsis and latent viral complications after hematopoietic stem cell transplantation in the FDA adverse event reporting system

Mohammed Al‐Jumayli, Jamal Abdul Nasir, Muhammad Awais Bin Abdul Malik, Aftab Ahmed et al.
Blood
Neutropenia and Cancer Infections
article

Signal-rich and signal-poor: Divergent detection of early bacterial sepsis and latent viral complications after hematopoietic stem cell transplantation in the FDA adverse event reporting system

Mohammed Al‐Jumayli, Jamal Abdul Nasir, Muhammad Awais Bin Abdul Malik, Aftab Ahmed, Daniel Rosas, Rajesh Thirumaran, Bolivia Fernandes, Manzer Ali, Rubab Nadeem, Kirti Arora, Kevin Bera, Hanzala Jehangir
article en

Abstract

Abstract Background Bacterial sepsis, cytomegalovirus (CMV) reactivation, Epstein–Barr virus post-transplant lymphoproliferative disorder (EBV-PTLD), and invasive fungal infection (IFI) are canonical threats after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Pharmacovigilance databases such as the FDA Adverse Event Reporting System (FAERS) provide population-scale insights but are limited by under-reporting and variable clinical detail. Whether FAERS differentially captures acute, high-severity events (e.g., septic shock) versus protocol-managed viral complications (e.g., pre-emptively treated CMV DNAemia) remains uncertain and has implications for safety signal interpretation in transplantation. Methods We analyzed FAERS reports from January 2014 to June 2025. Allo-HSCT cases were identified using MedDRA indication terms, with a drug-based heuristic classifying records listing a graft-versus-host disease (GVHD) prophylactic agent (e.g., tacrolimus, cyclosporine, sirolimus, or post-transplant cyclophosphamide) as allogeneic. Autologous HSCT (auto-HSCT) served as a biologic comparator. Valid transplant and event dates yielded 2,208 allo and 178 auto recipients. Four infection clusters, bacterial sepsis, CMV, EBV-PTLD, and IFI, were captured using exact and substring MedDRA searches. Events were anchored to transplant date and classified as Early (0–100 days) or Late (>100 days). We calculated incidence proportions, crude risk ratios (RR), reporting odds ratios (ROR), and Bayesian Information Components (IC₂₅), using 0.5 continuity corrections. Results Early bacterial sepsis occurred in 118 of 2,208 allo recipients (5.3%) versus 2 of 178 auto recipients (1.1%) (RR 4.8, 95% CI 1.1–13.9; ROR 3.9, 95% CI 1.11–13.9). Late sepsis rates were similar (1.9% vs 2.8%; ROR 0.4, 95% CI 0.19–1.01). CMV reactivation was infrequent: Early CMV occurred in 46 allo (2.1%) and 3 auto (1.7%) cases (ROR 1.0, 95% CI 0.34–3.03); Late CMV was reported in 10 allo (0.5%) and 3 auto (1.7%) recipients (ROR 0.17, 95% CI 0.05–0.61). Contemporary meta-analyses report 10–20% clinically significant CMV incidence despite letermovir prophylaxis, underscoring under-ascertainment in FAERS. EBV-PTLD (six Early, five Late) and IFI (two Early) were too sparse for stable ROR estimation, despite known registry-reported rates of 1–3%. Only Early sepsis yielded a positive IC₂₅; all others were neutral or negative, mirroring ROR trends. Conclusions FAERS functions as a “signal-rich” detector for sudden, high-severity complications such as early bacterial sepsis but is “signal-poor” for protocol-managed or indolent infections like CMV or EBV-PTLD. The clear sepsis signal aligns with prospective bloodstream infection studies, validating FAERS for acute event surveillance. Conversely, the lack of allo-specific CMV or EBV-PTLD signal likely reflects spontaneous-report limitations rather than biological equivalence. Regulators and investigators should prioritize FAERS for severe, early toxicities, while relying on transplant registries and EHR linkages to track prophylaxis-modulated or slow-onset infections. Future integration of FAERS with registry denominators may help calibrate pharmacovigilance sensitivity across the post-HSCT infection spectrum.

BloodVol. 146(Supplement 1)
Loma Linda University Medical Center (US), Catholic Medical Center (US), Orlando Health (US), Loma Linda University (US), AdventHealth East Orlando (US), Allied Hospital (PK), Shaikh Zayed Medical College and Hospital (PK), Moffitt Cancer Center (US), University of North Carolina at Pembroke (US), Trinitas Regional Medical Center (US), Cleveland Clinic Akron General (US), St. Mary's Medical Center (US), Pakistan Institute of Medical Sciences (PK)
Openalex Percentile: Top 46%
Neutropenia and Cancer Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.