Evidence map›Paper›PMID 39512785›Full record

ArticlePulmonary circulation2024

Comorbidity profiles and pulmonary embolism risk assessment: Leveraging the Charlson Comorbidity Index for improved prognostication in a national data set.

Truong-An Ho, Ka U Lio, Palakkumar Patel, Yichen Wang, Hammad Arshad, Si Li, Parth Rali

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Article in Pulmonary circulation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Truong-An HoDepartment of Thoracic Medicine and Surgery Lewis Katz School of Medicine at Temple University Philadelphia Pennsylvania USA.ORCID 0009-0009-4248-975X
Ka U LioDepartment of Medicine Lewis Katz School of Medicine at Temple University Philadelphia Pennsylvania USA.
Palakkumar PatelDepartment of Pulmonary and Critical Care Medicine University of Nevada at Las Vegas School of Medicine Las Vegas Nevada USA.
Yichen WangDepartment of Medicine University of Pennsylvania Philadelphia Pennsylvania USA.
Hammad ArshadDepartment of Pulmonary and Critical Care Medicine Allegheny Health Network Pittsburgh Pennsylvania USA.
Si LiDepartment of Medicine Lewis Katz School of Medicine at Temple University Philadelphia Pennsylvania USA.
Parth RaliDepartment of Thoracic Medicine and Surgery Lewis Katz School of Medicine at Temple University Philadelphia Pennsylvania USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current risk assessment of pulmonary embolism (PE) stratifies patients based on hemodynamic stability, clinical parameters of severity, right ventricular dysfunction and cardiac injury but fails to integrate a wide variety of comorbid conditions. The Charlson Comorbidity Index (CCI) predicts mortality based on patients' diseases and provides a system to quantify disease burden. The National Inpatient Sample (NIS) database (2016-2018) was used to identify patients with PE and calculate CCI score groups of 0, 1-2, 3-5, and ≥6 and stratify them by outcome. Of 561,625 patients with PE, 176,460 (31.4%) had CCI score of 0, 223,870 (39.8%) had CCI of 1-2, 102,305 (18.2%) had CCI of 3-5, and 58,990 (10.5%) had CCI ≥ 6. Higher CCI scores were associated with increased mortality: CCI 1-2 (adjusted odds ratio [aOR] 2.09), CCI 3-5 (aOR 3.12), CCI ≥ 6 (aOR 5.44) compared to CCI 0, along with stepwise increases in shock and mechanical ventilation with each increase in CCI score group. CCI scores ≥3 had increased length of stay (1.4-1.72 days) and increased total hospital costs ($3651-$4265) compared to CCI0. Patients with CCI ≥ 3 were less likely to receive systemic thrombolysis, catheter directed thrombolysis and mechanical thrombectomy. Acute PE in patients with elevated comorbidity scores is associated with higher morbidity and mortality, increased hospital resource utilization, and decreased usage of advanced therapies in a large cohort reflective of patients across the United States. Integration of comorbidities in risk assessment profiles identifies patients with higher short-term mortality which may guide management strategy.

Indexed as

advanced therapiescomorbidity assessmentpulmonary embolismrisk stratification

Identifiers

PMID39512785
PMCPMC11541855

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