Correlation of HISS and Strickland Score with the Michigan Hand Outcome Questionnaire in hand injuries: Does Strickland score predict salvagability in hand injury?

Background: The widely used Hand Injury Severity Score (HISS) has intrinsic drawbacks like inability to score vascular status and questionable correlation with Disability of Arm, shoulder and Hand. We compared it with the Strickland score which is easier to calculate and has provision for evaluation of vascular status. We assessed correlation of both the scores with the Michigan Hand Outcome Questionnaire (MHQ). Methods: In a prospective study of 1574 patients admitted with hand injuries, we recorded their HISS and Strickland scores and followed them up for a year and later interviewed for MHQ score. Statistical correlation was done comparing the HISS and Strickland score with the MHQ using the SPSS package. Results: Majority of these injuries were in manual labourers (47.5%) with agricultural or industrial background with a mean age of 25 years (18–26 years). Using the One-way ANOVA test we found a significant correlation between the HISS and MHQ (P Value < 0.001). Using the Unpaired T-test, statistically significant association (P < 0.001) was seen between the Strickland score and MHQ. The correlation between HISS and Strickland Score done by One-way ANOVA Test was also found to be significant (P Value < 0.001). On evaluating the group of patients with a Strickland score >10, we observed that the MHQ was almost similar between those who underwent amputation with those who underwent a successful salvage, though not statistically significant. Conclusion: HISS and Strickland score correlated significantly with each other and with the MHQ. Strickland score was easy and quicker to determine the salvagability of hand injury. However, small group of patients who may benefit from salvage in spite of a high Strickland score where factors like patient's age, occupation, comorbid health condition, motivation, expenses, and social environment needs to be taken into account in decision making.