Effectiveness of Corticosteroid Therapy in Enhancing Early Postoperative Recovery in Lumbar Spinal Stenosis Patients: A Retrospective Study.

BACKGROUND The degree of postoperative symptom improvement in patients with lumbar spinal stenosis (LSS) is crucial to their postoperative rehabilitation process and functional exercise. Corticosteroids have certain anti-inflammatory effects. This study aimed to explore whether small doses of corticosteroids would improve postoperative neurological symptoms in patients with lumbar spinal stenosis. MATERIAL AND METHODS Patients with lumbar spinal stenosis who underwent open surgery were divided into a corticosteroid therapy group (CTG) and a non-corticosteroid therapy group (NCTG). They were followed up for 24 months after surgery. The numeric rating scale (NRS) for leg pain (NRS-LP) and leg numbness (NRS-LN), Oswestry Disability Index (ODI) scores, and Short Form Health Survey (SF-36) scores of the 2 groups were compared at different time points to evaluate the therapeutic effect. RESULTS Of the 232 eligible patients enrolled, 128 received corticosteroids and 104 did not. At the 1-month postoperative follow-up, patients in the CTG had significantly lower NRS-LP and NRS-LN scores than those in the NCTG (P=0.017; P=0.043). At the 3-month follow-up, the NRS-LP and ODI scores of patients in the CTG were significantly lower than those of the NCTG (P=0.015; P=0.027), and SF-36 scores were significantly higher than that of the NCTG (P=0.012). At the 6-month follow-up, the SF-36 scores of patients in the CTG was significantly higher than that of the NCTG (P=0.008). CONCLUSIONS Small doses of corticosteroid therapy for postoperative lumbar spinal stenosis reduced symptoms and improved quality of life scores after surgery. However, it had little long-term impact on final patient outcomes.

Artificial Intelligence in Scoliosis: Current Applications and Future Directions.

Scoliosis is a three-dimensional deformity of lateral bending and rotation of the spine. Artificial intelligence (AI) is a set of theories and techniques for studying artificial intelligence, which realizes machine intelligence by simulating and expanding human intelligence. With the continuous development of the multidisciplinary integration trend of modern medicine, artificial intelligence is used more and more in the diagnosis and treatment of scoliosis. Artificial intelligence has been widely used in the study of scoliosis and has penetrated into all fields of clinical practice of scoliosis. At present, artificial intelligence has shown good application prospects in early screening, diagnosis, treatment decision making, intraoperative operation, and prognosis prediction of scoliosis. This paper mainly summarizes the application of artificial intelligence in the clinical practice of scoliosis, and briefly introduces the AI model and its specific applications. In addition, this paper also discusses the limitations and future development of artificial intelligence. In the future, artificial intelligence will bring greater convenience to the diagnosis and treatment of scoliosis and provide better therapeutic effects for patients.

Poorer surgical outcomes at 2 years postoperatively in patients with lumbar spinal stenosis with long-term preoperative leg numbness: a single-center retrospective study.

BACKGROUND: The purpose of this study was to assess whether differences in duration of preoperative leg numbness lead to different surgical outcomes. METHODS: This study included patients with lumbar spinal stenosis (LSS) who underwent lumbar fusion surgery in our hospital from January 2018 to September 2020. Patients were divided into three groups based on duration of preoperative leg numbness: no numbness (NN) group, short-term numbness (STN) group (leg numbness ≤ 3 months) and long-term numbness (LTN) group (leg numbness > 3 months). The Numerical Rating Scale of leg pain (NRS-LP) and leg numbness (NRS-LN), Oswestry Disability Index (ODI) and Short-Form Health Survey (SF-36) were collected before surgery and at 3, 6, 12 and 24 months postoperatively. RESULTS: 178 patients were included in this study. At 24 months postoperatively, NRS-LP was significantly higher in LTN than in NN [NN vs. STN vs. LTN: 0 (0,1) vs. 0 (0,1) vs. 1 (0,1)] (p = 0.033). NRS-LN in STN [2 (1,3)] was significantly lower than in LTN [3 (2,3)] (p < 0.001). SF-36 was significantly lower in LTN than in other two groups (NN vs. STN vs. LTN: 86.10 ± 6.02 vs. 84.09 ± 5.59 vs. 78.93 ± 6.57) (p < 0.001). ODI was significantly higher in LTN than in other two groups [NN vs. STN vs. LTN: 18 (15,22) vs. 18 (16,20) vs. 21 (19,24)] (p = 0.001). CONCLUSIONS: Patients with LSS with long-term preoperative leg numbness have poorer outcomes at 2 years postoperatively. Surgical intervention should be performed before persistent leg numbness for more than 3 months to obtain a better prognosis.

In vitro anti-tumour activities of quinolizidine alkaloids derived from Sophora flavescens Ait.

The dry root of Sophora flavescens Ait. (SF) has long been used in a variety of Chinese herbal formulations to treat patients with cancer. Alkaloids are commonly known to present in SF as main active constituents. Here, we report that among the six characterized SF-derived quinolizidine alkaloids including sophoridine, aloperine, sophocarpine, matrine, oxymatrine and cytisine, aloperine exerted the most potent in vitro cytotoxic activity against the human cancer cell lines and oxymatrine exhibited selective anti-cancer activity against hepatocellular carcinoma HepG2 cells. Analysis of DNA fragmentation and PARP cleavage revealed that aloperine treatment for 48 hr induced apoptosis in HL-60 cells. In addition, autophagic formation of acidic vacuole was also observed in HL-60 cells exposed to aloperine. These results suggest that aloperine may be a novel contributor to the anti-cancer properties of SF.