Background: Severe open lower limb injuries, particularly Gustilo–Anderson Grade IIIB and IIIC fractures, pose a major challenge in trauma surgery due to the critical decision between limb salvage and amputation. The Mangled Extremity Severity Score (MESS) is widely used, while the Ganga Hospital Open Injury Severity Score (GHOISS) was developed to better address complex open fractures, especially in settings with advanced reconstructive capabilities.
Aim and Objectives: To compare the effectiveness of the Mangled Extremity Severity Score (MESS) and the Ganga Hospital Open Injury Severity Score (GHOISS) in predicting limb salvage and guiding management decisions in modified Gustilo–Anderson Grade III open lower limb fractures.
Materials and Methods: This prospective comparative study was conducted in the Department of Orthopaedics, Narayan Medical College and Hospital, Sasaram, over a period of 1 year and 8 months. A total of 30 patients aged 18 years and above with Gustilo–Anderson Grade IIIB and IIIC open lower limb fractures were included. Each patient was evaluated using both MESS and GHOISS at presentation. Clinical details, mechanism of injury, limb involvement, management strategies, and outcomes were recorded. Statistical analysis was performed using SPSS software, with appropriate descriptive and inferential tests.
Results: The study population predominantly consisted of middle-aged males, with road traffic accidents being the most common mechanism of injury. Most fractures were classified as Gustilo–Anderson Grade IIIB. According to MESS, 90% of limbs were predicted to be salvageable, while GHOISS categorized 73.3% as salvageable, 13.3% as requiring amputation, and 13.3% falling into a grey zone. Overall limb salvage was achieved in 76.7% of patients. Both scoring systems correlated with clinical outcomes; however, GHOISS provided more detailed stratification by incorporating soft tissue, skeletal, functional, and systemic factors, particularly in borderline cases.
Conclusion: Both MESS and GHOISS are useful tools in the assessment of severe open lower limb injuries. However, GHOISS offers a more comprehensive and practical framework for decision-making in Gustilo–Anderson Grade III fractures, especially in complex injuries requiring reconstructive procedures. Its ability to identify grey-zone cases allows for individualized clinical judgment, potentially reducing failed salvage attempts and improving overall outcomes.
Early efforts at categorizing injured extremities date back to the late 19th and early 20th centuries, making this a significant difficulty in trauma surgery.
The Ganga Hospital Open Injury Severity Score (GHOISS) was created in India in response to the need for a scoring system that is better suited to complicated open fractures, especially in environments with specialist reconstructive competence.
More than 350 patients were prospectively monitored by Gustilo and Anderson. Three criteria were used to classify the injuries.
|
Grade |
Description |
|
Grade I |
Open fracture with wound less than 1 cm long and clean. |
|
Grade II |
Open fracture with wound >1 cm wound but <10 cm. |
|
Grade IIIa |
Open fractures with adequate soft tissue coverage (laceration >10 cm). |
|
Grade IIIb |
Open fractures with extensive soft tissue injury, periosteal stripping, and bone exposure. |
|
Grade IIIc |
Open fractures with arterial injury. |
Ganga Hospital Open Injury Severity Score (GHOISS).[4]
|
Description |
Score |
|
Covering structures: Skin and Fascia |
|
|
· Wounds without skin loss |
|
|
· Not over the fracture |
1 |
|
· Exposing the fracture |
2 |
|
· Wounds with skin loss |
|
|
· Not over the fracture |
3 |
|
· Over the fracture |
4 |
|
· Circumferential wound with skin loss |
5 |
|
Skeletal Structures: bone and joints |
|
|
· Transverse/oblique fracture/Butterfly fragment < 50% circumference |
1 |
|
· Large butterfly fragment > 50% circumference |
2 |
|
· Comminution/segmental fractures without bone loss |
3 |
|
· Bone loss < 4 cm |
4 |
|
· Bone loss > 4 cm |
|
|
Functional tissues: musculotendinous (MT) and nerve units |
|
|
· Partial injury to MT unit |
1 |
|
· Complete but repairable injury to MT units |
2 |
|
· Irreparable injury to MT units/partial loss of a compartment/complete injury to posterior tibial nerve |
3 |
|
· Loss of one compartment of MT units |
4 |
|
· Loss of two or more compartments/subtotal amputation |
5 |
|
Co-morbid conditions: add 2 points for each condition present |
|
|
· Injury - debridement interval > 12 hours |
|
|
· Sewage or organic contamination/farmyard injuries |
|
|
· Age > 65 years |
|
|
· Drug-dependent diabetes mellitus/cardiorespiratory diseases leading to increased anaesthetic risk |
|
|
· Polytrauma involving chest or abdomen with injury severity score > 25/fat embolism |
|
|
· Hypotension with systolic blood pressure < 90 mmHg at presentation |
|
|
· Another major injury to the same limb/compartment syndrome\ |
|
AIM:
Site of study: The study was conducted in the Department of Orthopaedics, at Narayan Medical College and Hospitals, Sasaram
Type of study: Prospective comparative study design
Place of study: NMCH, Sasaram
SAMPLE SIZE: 30 sites
Duration of study: 1 year and 8 months
Source of data: ORTHO OPD AND EMERGENCY
Sample size was estimated for Independent t test.
A minimum total sample size of 28 was found to be sufficient for an alpha of 0.05, power of 95 %, 1.3 as effect size (assessed from a similar study).
t tests - Means: Difference between two independent means (two groups)
Analysis: A priori: Compute required sample size
Input: Tail(s) = One Effect size d = 1.3 α err prob = 0.05 Power (1-β err prob) = 0.95
Allocation ratio N2/N1 = 1
Output: Noncentrality parameter δ = 3.4394767 Critical t = 1.7056179
Df = 26
Sample size group 1 = 14
Sample size group 2 = 14
Total sample size = 28
Actual power = 0.9557238
|
|
No. |
% |
P value |
|
18-31 |
5 |
16.7% |
<0.001 |
|
32-45 |
14 |
46.7% |
|
|
46-59 |
9 |
30% |
|
|
>59 |
2 |
6.7% |
|
|
Total |
30 |
100% |
|
|
Mean ± SD |
42.10±11.24 |
||
This table shows the age distribution of the study subjects.
|
|
No. |
% |
|
Male |
19 |
63.3% |
|
Female |
11 |
36.7% |
|
Total |
30 |
100% |
This table presents the sex distribution among the study participants.
|
|
No. |
% |
|
Leg |
14 |
46.7% |
|
Foot |
9 |
30% |
|
Thigh |
7 |
23.3% |
|
Total |
30 |
100% |
This table illustrates the distribution of limb involvement among the 30 study participants.
|
|
No. |
% |
|
Left |
15 |
50% |
|
Right |
15 |
50% |
|
Total |
30 |
100% |
This table presents the distribution of limb involvement based on laterality.
|
|
No. |
% |
|
RTA |
22 |
73.3% |
|
Crush injury |
6 |
20% |
|
Fall From height |
2 |
6.7% |
|
Total |
30 |
100% |
This table summarizes the mechanisms of injury among the 30 study participants
Table 6: Distribution of Gustilo-Anderson Fracture Types
|
|
No. |
% |
|
III B |
27 |
90% |
|
III C |
3 |
10% |
|
Total |
30 |
100% |
This table shows the classification of open fractures according to the Gustilo-Anderson system among the 30 participants.
Table 7: Distribution of Mangled Extremity Severity Score (MESS) Among Participants
|
|
No. |
% |
|
4-5 |
6 |
20% |
|
6-7 |
9 |
30% |
|
8-9 |
12 |
40% |
|
>9 |
3 |
10% |
|
Total |
30 |
100% |
This table presents the Mangled Extremity Severity Score (MESS) distribution among the 30 study participants.
Table 8: Distribution of Ganga Hospital Open Injury Severity Score (GHOISS)
|
|
No. |
% |
|
10-12 |
10 |
33.3% |
|
13-15 |
6 |
20% |
|
16-18 |
8 |
26.7% |
|
>18 |
6 |
20% |
|
Total |
30 |
100% |
This table outlines the distribution of GHOISS among the 30 study participants.
|
|
No. |
% |
|
Salvaged |
23 |
76.7% |
|
Amputated |
4 |
13.3% |
|
Unknown |
3 |
10.0% |
|
Total |
30 |
100% |
Table 9 outlines the limb salvage outcomes among the study participants
Table 10 presents limb outcomes based on MESS (Mangled Extremity Severity Score)
|
|
No. |
% |
|
Salvaged |
27 |
90.0% |
|
Amputated |
3 |
10.0% |
|
Total |
30 |
100% |
Table 10 presents limb outcomes based on MESS (Mangled Extremity Severity Score) interpretation among the study participants.
|
|
No. |
% |
|
Salvaged |
22 |
73.3% |
|
Amputation |
4 |
13.3% |
|
Grey Zone |
4 |
13.3% |
|
Total |
30 |
100% |
Table 11 shows limb outcomes based on GHOISS (Ganga Hospital Open Injury Severity Score) interpretation among the study participants.
|
|
No. |
% |
|
1-3 |
8 |
26.7% |
|
4-6 |
7 |
23.3% |
|
7-9 |
9 |
30% |
|
10-12 |
6 |
20% |
|
Total |
30 |
100% |
This table shows the distribution of the time elapsed between injury and medical presentation among the 30 participants.
|
|
No. |
% |
|
Yes |
3 |
10% |
|
No |
27 |
90% |
|
Total |
30 |
100% |
|
|
No. |
% |
|
1-2 |
9 |
30% |
|
3-4 |
10 |
33.3% |
|
5-6 |
11 |
36.7% |
|
Total |
30 |
100% |
This table presents the distribution of skeletal injury scores among the 30 participants.
|
|
No. |
% |
|
1-2 |
13 |
43.3% |
|
3-4 |
9 |
30% |
|
5-6 |
8 |
26.7% |
|
Total |
30 |
100% |
This table shows the distribution of soft tissue injury scores among the 30 participants.
|
|
No. |
% |
|
1-2 |
9 |
30% |
|
3-4 |
12 |
40% |
|
5-6 |
9 |
26.7% |
|
Total |
30 |
100% |
This table presents the distribution of muscle injury scores among the 30 participants
|
|
No. |
% |
|
Amputation |
4 |
13.3% |
|
Debridement + Fixation |
9 |
30% |
|
External Fixator |
6 |
20% |
|
Flap + Fixation |
8 |
26.7% |
|
Unknown |
3 |
10% |
|
Total |
30 |
100% |
This table summarizes the different management approaches applied to the 30 participants.
|
|
No. |
% |
|
Healed |
7 |
23.3% |
|
Infection |
7 |
23.3% |
|
Non-union |
7 |
23.3% |
|
Re-amputation |
6 |
20% |
|
Unknown |
3 |
10% |
|
Total |
30 |
100% |
This table shows the final outcomes of treaatment for the 30 participants.
|
|
No. |
% |
|
6-11 |
3 |
10% |
|
12-17 |
11 |
36.7% |
|
18-23 |
14 |
46.7% |
|
>23 |
2 |
6.7% |
|
Total |
30 |
100% |
This table shows the follow-up duration for the 30 study participants.
|
|
Leg |
Foot |
Thigh |
Total |
|
RTA |
10 (33.3%) |
5 (16.7%) |
7 (23%) |
22 (73%) |
|
Crush injury |
2 (6.7%) |
4 (13.3%) |
0 |
6 (20%) |
|
Fall From height |
2 (6.7%) |
0 |
0 |
2 (6.7%) |
|
Total |
14 (46.7%) |
9 (30%) |
7 (23%) |
30 (100%) |
This table presents the distribution of mechanisms of injury across different limbs.
|
|
Left |
Right |
Total |
|
RTA |
13 (43.3%) |
9 (30%) |
22 (73%) |
|
Crush injury |
1 (3.3%) |
5 (16.7%) |
6 (20%) |
|
Fall From height |
1 (3.3%) |
1 (3.3%) |
2 (6.7%) |
|
Total |
15 (50%) |
15 (50%) |
30 (100%) |
This table shows the distribution of injury mechanisms based on laterality (left vs. right side).
|
|
4-5 |
6-7 |
8-9 |
>9 |
Total |
|
RTA |
5 (16.7%) |
6 (20%) |
9 (30%) |
2 (6.7%) |
22 (73%) |
|
Crush injury |
1 (3.3%) |
3 (10%) |
1 (3.3%) |
1 (3.3%) |
6 (20%) |
|
Fall From height |
0 |
0 |
2 (6.7%) |
0 |
2 (6.7%) |
|
Total |
6 (20%) |
9 (30%) |
12 (40%) |
3 (10%) |
30 (100%) |
This table shows the distribution of injury mechanisms based on the Mangled Extremity Severity Score (MESS) categories.
|
|
10-12 |
13-15 |
16-18 |
>18 |
Total |
|
RTA |
7 (23%) |
4 (13.3%) |
6 (20%) |
5 (16.7%) |
22 (73%) |
|
Crush injury |
3 (10%) |
1 (3.3%) |
1 (3.3%) |
1 (3.3%) |
6 (20%) |
|
Fall From height |
0 |
1 (3.3%) |
1 (3.3%) |
0 |
2 (6.7%) |
|
Total |
10 (33.3%) |
6 (20%) |
8 (26.7%) |
6 (20%) |
30 (100%) |
This table displays the distribution of injury mechanisms across different Ganga Hospital Open Injury Severity Score (GHOISS) categories.
|
|
Healed |
Infection |
Non- union |
Re- amputation |
Unknown |
Total |
|
RTA |
6 (20%) |
5 (16.7%) |
3 (10%) |
5 (16.7%) |
3 (10%) |
22 (73%) |
|
Crush injury |
1 (3.3%) |
1 (3.3%) |
3 (10%) |
1 (3.3%) |
0 |
6 (20%) |
|
Fall From height |
0 |
1 (3.3%) |
1 (3.3%) |
0 |
0 |
2 (6.7%) |
|
Total |
7 (23%) |
7 (23%) |
7 (23%) |
6 (20%) |
3 (10%) |
30 (100%) |
This table presents the final outcomes of treatment based on the mechanism of injury.
Table 25: Side (Left/Right) Distribution with MESS Score
|
|
Left |
Right |
Total |
|
4-5 |
2 (6.7%) |
4 (13.3%) |
6 (20%) |
|
6-7 |
4 (13.3%) |
5 (16.7%) |
9 (30%) |
|
8-9 |
7 (23%) |
5 (16.7%) |
12 (40%) |
|
>9 |
2 (6.7%) |
1 (3.3%) |
3 (10%) |
|
Total |
15 (50%) |
15 (50%) |
30 (100%) |
This table shows the distribution of the Mangled Extremity Severity Score (MESS) by side (left vs. right).
|
|
Left |
Right |
Total |
|
10-12 |
4 (13.3%) |
6 (20%) |
10 (33.3%) |
|
13-15 |
4 (13.3%) |
2 (6.7%) |
6 (20%) |
|
16-18 |
6 (20%) |
6 (20%) |
12 (40%) |
|
>18 |
1 (3.3%) |
1 (3.3%) |
2 (6.7%) |
|
Total |
15 (50%) |
15 (50%) |
30 (100%) |
This table presents the distribution of the Ganga Hospital Open Injury Severity Score (GHOISS) by side (left vs. right).
Final outcomes were mixed, reflecting the challenges inherent in treating severe limb trauma. Equal proportions of participants experienced healing, infection, and non-union, while re-amputation was required in 20% of cases. Follow-up duration was generally adequate to assess these outcomes, with most patients followed for 12 to 23 weeks.
The balanced distribution of injury severity scores by limb side and the spectrum of management approaches highlight the tailored clinical decisions necessary for optimizing limb salvage and functional recovery.
RESULTS:
The study population predominantly consisted of middle-aged males, with road traffic accidents being the most common mechanism of injury. Most fractures were classified as Gustilo–Anderson Grade IIIB. According to MESS, 90% of limbs were predicted to be salvageable, while GHOISS categorized 73.3% as salvageable, 13.3% as requiring amputation, and 13.3% falling into a grey zone. Overall limb salvage was achieved in 76.7% of patients. Both scoring systems correlated with clinical outcomes; however, GHOISS provided more detailed stratification by incorporating soft tissue, skeletal, functional, and systemic factors, particularly in borderline cases.
CONCLUSION:
Both MESS and GHOISS are useful tools in the assessment of severe open lower limb injuries. However, GHOISS offers a more comprehensive and practical framework for decision-making in Gustilo–Anderson Grade III fractures, especially in complex injuries requiring reconstructive procedures. Its ability to identify grey-zone cases allows for individualized clinical judgment, potentially reducing failed salvage attempts and improving overall outcomes.