Electroacupuncture and Growth Hormone for Pain Management Post-Quadriceps Ligament Reconstruction: A Prospective Study.

OBJECTIVE: This study aimed to investigate the efficacy of electroacupuncture (EA) combined with growth hormone in alleviating pain and enhancing knee function following quadriceps ligament reconstruction. METHODS: A prospective study was conducted, and a total of 90 patients exhibiting quadriceps atrophy after anterior cruciate ligament reconstruction were recruited between July 2020 and July 2022 from Shenzhen Pingle Orthopedic Hospital. They were randomly assigned to either the control group or the observation group ‎, with 45 patients in each. The control group received routine rehabilitation training along with growth hormone treatment, while the observation group received routine rehabilitation training in addition to EA and growth hormone treatment. The study assessed the visual analogue score (VAS) for postoperative pain, knee function, and clinical outcomes in both groups. RESULTS: The total effective rate in the observation group was significantly higher compared to the control group, with a statistically significant difference (P < .05). Initially, there were no significant differences between the two groups in peri-thigh atrophy index, VAS score, Lysholm score, knee swelling, knee stability, and range of motion (ROM) score (P > .05). However, after 3 and 6 months of treatment, significant reductions were observed in peri-thigh atrophy index, VAS score, knee swelling, and ROM score in the observation group compared to the control group (P < .05). Moreover, Lysholm score and knee stability significantly increased in the observation group (P < .05), with changes significantly higher than those in the control group (P < .05). CONCLUSIONS: EA combined with growth hormone treatment significantly improves postoperative pain and knee joint function in patients undergoing quadriceps ligament reconstruction. This combination therapy holds promise for enhancing rehabilitation outcomes in this patient population.