Demographic Differences in the Surgical Management of Tibial Shaft Fractures: A Retrospective Study

Background Tibial shaft fractures (TSFs) are the most common long bone fractures in the United States and are associated with significant morbidity and the potential need for revision surgeries, with many patients requiring reoperation. This can have significant physical, mental, and financial impacts on patients. A major complication faced by patients with TSF is nonunion (TSFN). The mainstay of surgical management of TSF is Intramedullary Nail (IMN), with some patients also being treated with Open Reduction Internal Fixation (ORIF). With the demographic makeup of the United States undergoing rapid change, a better understanding of patient characteristics of patients with TSF is useful to optimize patient care. This study aims to enhance our comprehension of the frequency and demographic variables associated with tibia fracture surgery and subsequent nonunion. Methods A retrospective study was conducted in August 2023, utilizing the TriNetX "Global Collaborative Network" database to form patient study cohorts. Data extracted included patient age, sex, ethnicity, race, smoking status, surgical management, and nonunion. Data was also extracted on specific surgical management utilized, comprising either IMN or ORIF. Results A total of 6,389 cases of TSFs were analyzed, with 65% (4,153) of patients undergoing ORIF compared to IMN (35%, or 2,236). The overall incidence of patients with TSF ORIF and IMN was highest among males and White patients. The incidence of patients with TSF ORIF was highest in the age groups of 40-64 and 64-90 years, while TSF IMN was highest in the age groups of 18-39 and 40-64 years. The overall rate of tibia nonunion among patients with a TSF ORIF was 4.6%, vs. 2.6% in patients who underwent IMN. Conclusion TSFs treated with IMN were found to have lower rates of nonunion compared to ORIF. IMN of TSF was more common in younger patients, while ORIF was more common in the older age groups. ORIF and IMN had similar rates of male-to-female utilization, indicating that both genders are being treated similarly with regard to the operative method of choice. White patients and those who were not Hispanic or Latino had much higher rates of both IMN and ORIF compared to all other racial groups, despite the increased complexity of fracture/injury characteristics and higher complication rates in minority patients.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-02-12
DOI
https://doi.org/10.7759/cureus.78917
Primary Topic
Bone fractures and treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demographic Differences in the Surgical Management of Tibial Shaft Fractures: A Retrospective Study

Kassem Ghayyad, Avery Allen, Benjamin Derick Sookhoo, Atif Ahmed et al.
Cureus
Bone fractures and treatments
article

Demographic Differences in the Surgical Management of Tibial Shaft Fractures: A Retrospective Study

Kassem Ghayyad, Avery Allen, Benjamin Derick Sookhoo, Atif Ahmed, Michael Hawks, Mustafa Hashimi, Tyler F Beaudoin
article en

Abstract

Background Tibial shaft fractures (TSFs) are the most common long bone fractures in the United States and are associated with significant morbidity and the potential need for revision surgeries, with many patients requiring reoperation. This can have significant physical, mental, and financial impacts on patients. A major complication faced by patients with TSF is nonunion (TSFN). The mainstay of surgical management of TSF is Intramedullary Nail (IMN), with some patients also being treated with Open Reduction Internal Fixation (ORIF). With the demographic makeup of the United States undergoing rapid change, a better understanding of patient characteristics of patients with TSF is useful to optimize patient care. This study aims to enhance our comprehension of the frequency and demographic variables associated with tibia fracture surgery and subsequent nonunion. Methods A retrospective study was conducted in August 2023, utilizing the TriNetX "Global Collaborative Network" database to form patient study cohorts. Data extracted included patient age, sex, ethnicity, race, smoking status, surgical management, and nonunion. Data was also extracted on specific surgical management utilized, comprising either IMN or ORIF. Results A total of 6,389 cases of TSFs were analyzed, with 65% (4,153) of patients undergoing ORIF compared to IMN (35%, or 2,236). The overall incidence of patients with TSF ORIF and IMN was highest among males and White patients. The incidence of patients with TSF ORIF was highest in the age groups of 40-64 and 64-90 years, while TSF IMN was highest in the age groups of 18-39 and 40-64 years. The overall rate of tibia nonunion among patients with a TSF ORIF was 4.6%, vs. 2.6% in patients who underwent IMN. Conclusion TSFs treated with IMN were found to have lower rates of nonunion compared to ORIF. IMN of TSF was more common in younger patients, while ORIF was more common in the older age groups. ORIF and IMN had similar rates of male-to-female utilization, indicating that both genders are being treated similarly with regard to the operative method of choice. White patients and those who were not Hispanic or Latino had much higher rates of both IMN and ORIF compared to all other racial groups, despite the increased complexity of fracture/injury characteristics and higher complication rates in minority patients.

CureusVol. 17(2)
AdventHealth Orlando (US), AdventHealth East Orlando (US)
Gender equality
Openalex Percentile: Top 95%
Bone fractures and treatments
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.