Hospital length of stay and cost associated with routine-care documentation of probable or suspected fungal infection among patients hospitalized with acute myeloid leukemia: a propensity score analysis.
10 affiliations
- 1Department of Hematology, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, 341000, China.
- 2Jiangxi Health Commission Key Laboratory of Leukemia, The Affiliated Ganzhou Hospital, Jiangxi Medical College, Nanchang University, Ganzhou, 341000, China.
- 3Ganzhou Key Laboratory of Molecular Medicine, The Affiliated Ganzhou Hospital, Jiangxi Medical College, Nanchang University, Ganzhou, 341000, China.
- 4Department of Obstetrics and Gynecology, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, 341000, China.
- 5Department of Hematology, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, 341000, China. [email protected].
- 6Jiangxi Health Commission Key Laboratory of Leukemia, The Affiliated Ganzhou Hospital, Jiangxi Medical College, Nanchang University, Ganzhou, 341000, China. [email protected].
- 7Ganzhou Key Laboratory of Molecular Medicine, The Affiliated Ganzhou Hospital, Jiangxi Medical College, Nanchang University, Ganzhou, 341000, China. [email protected].
- 8Department of Hematology, Ganzhou Hospital-Nanfang Hospital, Southern Medical University (Ganzhou People's Hospital), Ganzhou, 341000, China. [email protected].
- 9Jiangxi Health Commission Key Laboratory of Leukemia, The Affiliated Ganzhou Hospital, Jiangxi Medical College, Nanchang University, Ganzhou, 341000, China. [email protected].
- 10Ganzhou Key Laboratory of Molecular Medicine, The Affiliated Ganzhou Hospital, Jiangxi Medical College, Nanchang University, Ganzhou, 341000, China. [email protected].
Abstract
Background
Fungal infection remains a recurring concern during inpatient care for acute myeloid leukemia (AML), but many hospitals lack local estimates of the bed-day and cost burden associated with fungal-infection documentation. We estimated excess length of stay (LOS) and hospitalization cost associated with routine-care documented probable or suspected fungal infection (PFI) among AML inpatient encounters.Methods
We conducted a retrospective encounter-level study using routinely collected 2020-2025 AML inpatient data from the electronic medical record database of Ganzhou People's Hospital. PFI was identified from prespecified fungal-infection terms in diagnosis text and microbiology fields (excluding records with an explicitly negative fungal result) to define routine-care documented PFI. Outcomes were LOS and total hospitalization cost in Chinese yuan (Renminbi; RMB, also CNY). The primary estimand was the average treatment effect among the treated (ATT). We fitted crude, propensity score matching, inverse probability of treatment weighting (IPTW), and doubly robust models. Sensitivity analyses evaluated alternative weighting and matching choices, robust uncertainty, PFI documentation source, patient-level clustering, cost missingness, and the feasibility of an early-PFI definition.Results
The analytic cohort comprised 2,686 AML inpatient encounters; 661 (24.6%) were classified as PFI and 2,025 as non-PFI. Median LOS was 18.97 days in the PFI group and 7.06 days in the non-PFI group. Among encounters with observed cost, median hospitalization cost was 24,888.24 RMB in the PFI group and 7,681.44 RMB in the non-PFI group. In the primary IPTW-ATT analysis, PFI was associated with 10.17 excess hospital days (95% CI, 8.49 to 11.85) and 20,542.01 RMB excess hospitalization cost (95% CI, 16,361.90 to 24,722.11). Doubly robust ATT estimates were similar: 10.21 days for LOS and 20,613.70 RMB for cost. Heteroskedasticity-robust (non-clustered) standard errors yielded directionally consistent intervals for IPTW-ATT: LOS 10.17 days (95% CI, 8.81 to 11.53) and cost 20,542 RMB (95% CI, 17,205 to 23,879). Cost was missing in 506 encounters (18.8%); cost-missing encounters differed modestly from cost-observed encounters.Conclusions
In this single-hospital AML inpatient dataset, documented PFI was associated with a higher-burden hospital course, including longer LOS and higher observed cost.
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BibTeX
@article{he2026hospital,
title = {{Hospital length of stay and cost associated with routine-care documentation of probable or suspected fungal infection among patients hospitalized with acute myeloid leukemia: a propensity score analysis.}},
author = {Chengming He and Xufeng Liu and Biqing Wang and Le Hu and Jingdong Zhang and Xianying Zeng and Bolin Wan},
journal = {BMC infectious diseases},
year = {2026},
month = jul,
doi = {10.1186/s12879-026-14059-y},
url = {https://europepmc.org/article/MED/42894135},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Hospital length of stay and cost associated with routine-care documentation of probable or suspected fungal infection among patients hospitalized with acute myeloid leukemia: a propensity score analysis.
AU - Chengming He
AU - Xufeng Liu
AU - Biqing Wang
AU - Le Hu
AU - Jingdong Zhang
AU - Xianying Zeng
AU - Bolin Wan
PY - 2026
DA - 2026/07/01
JO - BMC infectious diseases
DO - 10.1186/s12879-026-14059-y
UR - https://europepmc.org/article/MED/42894135
AB - Background Fungal infection remains a recurring concern during inpatient care for acute myeloid leukemia (AML), but many hospitals lack local estimates of the bed-day and cost burden associated with fungal-infection documentation. We estimated excess length of stay (LOS) and hospitalization cost associated with routine-care documented probable or suspected fungal infection (PFI) among AML inpatient encounters.Methods We conducted a retrospective encounter-level study using routinely collected 2020-2025 AML inpatient data from the electronic medical record database of Ganzhou People's Hospital. PFI was identified from prespecified fungal-infection terms in diagnosis text and microbiology fields (excluding records with an explicitly negative fungal result) to define routine-care documented PFI. Outcomes were LOS and total hospitalization cost in Chinese yuan (Renminbi; RMB, also CNY). The primary estimand was the average treatment effect among the treated (ATT). We fitted crude, propensity score matching, inverse probability of treatment weighting (IPTW), and doubly robust models. Sensitivity analyses evaluated alternative weighting and matching choices, robust uncertainty, PFI documentation source, patient-level clustering, cost missingness, and the feasibility of an early-PFI definition.Results The analytic cohort comprised 2,686 AML inpatient encounters; 661 (24.6%) were classified as PFI and 2,025 as non-PFI. Median LOS was 18.97 days in the PFI group and 7.06 days in the non-PFI group. Among encounters with observed cost, median hospitalization cost was 24,888.24 RMB in the PFI group and 7,681.44 RMB in the non-PFI group. In the primary IPTW-ATT analysis, PFI was associated with 10.17 excess hospital days (95% CI, 8.49 to 11.85) and 20,542.01 RMB excess hospitalization cost (95% CI, 16,361.90 to 24,722.11). Doubly robust ATT estimates were similar: 10.21 days for LOS and 20,613.70 RMB for cost. Heteroskedasticity-robust (non-clustered) standard errors yielded directionally consistent intervals for IPTW-ATT: LOS 10.17 days (95% CI, 8.81 to 11.53) and cost 20,542 RMB (95% CI, 17,205 to 23,879). Cost was missing in 506 encounters (18.8%); cost-missing encounters differed modestly from cost-observed encounters.Conclusions In this single-hospital AML inpatient dataset, documented PFI was associated with a higher-burden hospital course, including longer LOS and higher observed cost.
SN - 1471-2334
ER -