Capillary leak phenotype as a major cause of death in patients with POEMS syndrome

Cause of death (COD) in POEMS (polyneuropathy, organomegaly, endocrinopathies, monoclonal protein and skin changes) syndrome is not well described. We investigated COD in patients with POEMS syndrome treated at Mayo Clinic between 2000 and 2022. Of the 89 deaths, 49 patients had known COD and were the subject of this study. Seventeen patients died of unrelated causes, while 32 patients (65%) died from causes related to POEMS syndrome including secondary malignancies like myelodysplastic syndrome and acute leukemia (n = 5) and complications from active therapy (n = 5). Notably, 19 patients died with a stereotypic syndrome we termed capillary leak phenotype (CLP), which was characterized by refractory ascites, effusions and/or anasarca that ultimately resulted in hypotension, renal failure and cardiopulmonary arrest. Alternate causes for these symptoms, such as cardiac and hepatic etiologies, were excluded. CLP as a COD was an earlier event with a median time from diagnosis to death of 2.5 years compared to 12.0 years for all other deceased patients (p = <0.0001). By definition, treatment of terminal CLP was unsuccessful with median survival of only 4 months after CLP onset. The driver of CLP is unknown, but recognition as an entity should allow for systematic study.

Authors

Institutions

Publication Details

Journal
Leukemia
Published
2024-12-16
DOI
https://doi.org/10.1038/s41375-024-02489-z
Citations
6
Primary Topic
Peripheral Neuropathies and Disorders
Type
article
Field-Weighted Citation Impact
2.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Capillary leak phenotype as a major cause of death in patients with POEMS syndrome

Angela A. Dispenzieri, David Dingli, Francis K. Buadi, Morie A. Gertz et al.
6 citations
Leukemia
Peripheral Neuropathies and Disorders
2.21
article

Capillary leak phenotype as a major cause of death in patients with POEMS syndrome

Angela A. Dispenzieri, David Dingli, Francis K. Buadi, Morie A. Gertz, Nelson Leung, Robert A. Kyle, Shaji Kunnathu Kumar, Ronald S. Go, Prashant Kapoor, Amie Fonder, Moritz Binder, Yi L. Hwa, Rahma Warsame, Joselle Cook, S. Vincent Rajkumar, Wilson I. Gonsalves, Taxiarchis Kourelis, Eli Muchtar, Michelle Rogers, Yi Lin, Marcella Tschautscher, K. Lee, Miriam Hobbs, Suzanne Hayman
article en
6 citations

Abstract

Cause of death (COD) in POEMS (polyneuropathy, organomegaly, endocrinopathies, monoclonal protein and skin changes) syndrome is not well described. We investigated COD in patients with POEMS syndrome treated at Mayo Clinic between 2000 and 2022. Of the 89 deaths, 49 patients had known COD and were the subject of this study. Seventeen patients died of unrelated causes, while 32 patients (65%) died from causes related to POEMS syndrome including secondary malignancies like myelodysplastic syndrome and acute leukemia (n = 5) and complications from active therapy (n = 5). Notably, 19 patients died with a stereotypic syndrome we termed capillary leak phenotype (CLP), which was characterized by refractory ascites, effusions and/or anasarca that ultimately resulted in hypotension, renal failure and cardiopulmonary arrest. Alternate causes for these symptoms, such as cardiac and hepatic etiologies, were excluded. CLP as a COD was an earlier event with a median time from diagnosis to death of 2.5 years compared to 12.0 years for all other deceased patients (p = <0.0001). By definition, treatment of terminal CLP was unsuccessful with median survival of only 4 months after CLP onset. The driver of CLP is unknown, but recognition as an entity should allow for systematic study.

LeukemiaVol. 39(3)
Mayo Clinic (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US)
Openalex Percentile: Top 11%
Peripheral Neuropathies and Disorders
2.21
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.