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Latent class analysis to identify subphenotypes predicting pediatric splenic pseudoaneurysm following blunt spleen injuries: A post-hoc analysis Cover

Latent class analysis to identify subphenotypes predicting pediatric splenic pseudoaneurysm following blunt spleen injuries: A post-hoc analysis

Open Access
|Oct 2025

Figures & Tables

Fig. 1.

Flowchart depicting the screening and enrollment process in this study
Flowchart depicting the screening and enrollment process in this study

Fig. 2.

The five factors showing high discriminative power in LCA. Abbreviations: ISS, Injury Severity Scale score; LCA, latent class analysis; Plt, platelet count; PT-INR, prothrombin time-international normalized ratio.
The five factors showing high discriminative power in LCA. Abbreviations: ISS, Injury Severity Scale score; LCA, latent class analysis; Plt, platelet count; PT-INR, prothrombin time-international normalized ratio.

Fig. 3.

Formation of delayed splenic pseudoaneurysm in each Sub-phenotype
Formation of delayed splenic pseudoaneurysm in each Sub-phenotype

Sub-phenotypes and delayed splenic pseudoaneurysm formation

Overall (n=434)Sub-phenotypesp value

Sub-phenotype 1 (n=32)Sub-phenotype 2 (n=191)Sub-phenotype 3 (n=211)
Formation of delayed splenic pseudoaneurysm, n (%)46 (10.6)7 (21.9)25 (13.1)14 (6.6)0.01

Logistic regression analysis for the correlation between sub-phenotypes and delayed splenic pseudoaneurysm formation

Crude OR95% CI (lower)95% CI (upper)p value
Formation of delayed splenic pseudoaneurysm
Sub-phenotypes
  Sub-phenotype 13.941.4510.70.007
  Sub-phenotype 22.121.074.210.03
  Sub-phenotype 3refrefref-

Demographics and characteristics of analyzed patients with stratified by sub-phenotypes

VariablesOverall (n=434) Formation of delayed splenic pseudoaneurysm: n=46 (10.6%)Sub-phenotypesp value

Sub-phenotype 1 (n=32) Formation of delayed splenic pseudoaneurysm: n=7 (21.9%)Sub-phenotype 2 (n=191) Formation of delayed splenic pseudoaneurysm: n=25 (13.1%)Sub-phenotype 3 (n=211) Formation of delayed splenic pseudoaneurysm: n=14 (6.6%)
Age, years, median (IQR)10 (7–13)9 (7.8–12)13 (12–15)8 (5.5–9)< .001
Male, n (%)303 (69.8)19 (59.4)145 (75.9)139 (65.9)0.03
Weight, kg, median (IQR)33 (24.1–47)29.5 (25–39.8)48 (41–55)25 (19.4–29.5)< .001

Past medical history, n (%)
  None366 (84.3)30 (93.8)153 (80.1)183 (86.7)0.65
  Hematologic disease2 (0.5)0 0)1 (0.5)1 (0.5)
  Neuropsychiatric disorder23 (5.3)0 (0)13 (6.8)10 (4.7)
  Chromosomal abnormalities0 (0)0 (0)0 (0)0 (0)
  Congenital anomaly5 (1.2)0 (0)2 (1.0)3 (1.4)
  Asthma22 (5.1)1 (3.1)14 (7.3)7 (3.3)
  Others16 (3.7)1 (3.1)8 (4.2)7 (3.3)

Situation of injury, n (%)
  Fall109 (25.1)6 (18.8)29 (15.2)74 (35.1)0.009
  Fall down41 (9.5)2 (6.2)10 (5.2)29 (13.7)
  Sport66 (15.2)2 (6.2)50 (26.2)14 (6.6)
  Bicycle82 (18.9)5 (15.6)53 (27.7)24 (11.4)
  Motor vehicle crash49 (11.3)7 (21.9)21 (11.0)21 (10.0)
  Struck by vehicle59 (13.6)9 (28.1)11 (5.8)39 (18.5)
  Abuse1 (0.2)0 (0)0 (0)1 (0.5)
  Assault12 (2.8)1 (3.1)11 (5.8)0 (0)
  Others15 (3.5)0 (0)6 (3.1)9 (4.3)
  Shock on arrival, n (%)19 (4.4)6 (18.8)8 (4.2)5 (2.4)0.002
  Hb on arrival, mg/dl, median (IQR)12.3 (11.2–13.3)11.1 (8.8–11.9)13.1 (11.7–13.9)12.0 (11.2–12.8)< .001
  Plt on arrival, ×103/μL, median (IQR)25.7 (21.6–31.3)22.8 (15.7–28.1)23.9 (20.8–28.7)28.9 (23.1–33.3)< .001
  PT-INR on arrival, median (IQR)1.12 (1.05–1.21)1.27 (1.18–1.56)1.15 (1.08–1.24)1.08 (1.02–1.14)< .001

Capsular tear of spleen, n (%)
  None118 (27.2)2 (6.2)53 (27.7)63 (29.9)0.03
  Yes298 (68.7)30 (93.8)131 (68.6)137 (64.9)
  Unknown18 (4.2)0 (0)7 (3.7)11 (5.2)
Contrast extravasation in spleen, n (%)93 (21.4)22 (68.8)49 (25.7)22 (10.4)< .001
Intra-abdominal bleeding, n (%)355 (81.8)28 (87.5)158 (82.7)169 (80.1)0.60
Concomitant injury to other organs, n (%)136 (31.3)20 (62.5)65 (34.0)51 (24.2)< .001

OIS 2018 of spleen, n (%)
  134 (7.8)1 (3.1)12 (6.3)21 (10.0)< .001
  2158 (36.4)4 (12.5)71 (37.2)83 (39.3)
  3148 (34.1)8 (25.0)64 (33.5)76 (36.0)
  473 (16.8)15 (46.9)34 (17.8)24 (11.4)
  521 (4.8)4 (12.5)10 (5.2)7 (3.3)
ISS, median (IQR)9 (6–17)31.5 (21.5–42.3)9 (5.5–17)9 (5–14)
Blood transfusion, n (%)69 (15.9)25 (78.1)25 (13.1)19 (9.0)
Cryoprecipitate transfusion, n (%)4 (0.9)3 (9.4)0 (0)1 (0.5)0.001
Fibrinogen transfusion, n (%)2 (0.5)0 (0)1 (0.5)1 (0.5)1.0
Infusion of tranexamic acid, n (%)95 (21.9)8 (25.0)50 (26.2)37 (17.5)0.09

Method of IVR
  None or angiography only425 (97.9)31 (96.9)185 (96.9)209 (99.1)0.28
  Embolization with Gelatin Sponge5 (1.2)0 (0)4 (2.1)1 (0.5)
  Embolization with coil4 (0.9)1 (3.1)2 (1.0)1 (0.5)
  Others0 (0)0 (0)0 (0)0 (0)
  Unknown0 (0)0 (0)0 (0)0 (0)
DOI: https://doi.org/10.2478/jccm-2025-0037 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 389 - 398
Submitted on: May 5, 2025
Accepted on: Jul 28, 2025
Published on: Oct 31, 2025
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Yuki Kishihara, Hideto Yasuda, Morihiro Katsura, Masahiro Kashiura, Shunsuke Amagasa, Yutaro Shinzato, Yutaka Kondo, Shigeki Kushimoto, Takashi Moriya, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.