The Nottingham Hip Fracture Score (NHFS) has been developed for predicting 30-day and 1-year mortality after hip fracture. We hypothesise that NHFS may also predict other adverse events. Data from 666 patients (190 men, 476 women), aged 60.2–103.4 years, admitted with a hip fracture to a single centre from 1/10/2015 and 7/12/2017 were analysed. The ability of NHFS to predict mobility within 1 day after surgery, length of stay (LOS) find mortality, and discharge destination was evaluated by receiver operating characteristic curves and two-graph plots. The area under the curve (95% confidence interval [CI]) for predicting mortality was 67.4% (58.4–76.4%), prolonged LOS was 59.0% (54.0–64.0%), discharge to residential/nursing care was 62.3% (54.0–71.5%), and any two of failure to mobilise, prolonged LOS or discharge to residential/nursing care was 64.8% (59.0–70.6%). NHFS thresholds at 4 and 7 corresponding to the lower and upper limits of intermediate range where sensitivity and specificity equal 90% were identified for mortality and prolonged LOS, and 4 and 6 for discharge to residential/nursing care, which were used to create three risk categories. Compared with the low risk group (NHFS = 0–4), the high risk group (NHFS = 7–10 or 6–10) had increased risk of in-patient mortality: rates = 2.0% versus 7.1%, OR (95% CI) = 3.8 (1.5–9.9), failure to mobilise within 1 day of surgery: rates = 18.9% versus 28.3%, OR = 1.7 (1.0–2.8), prolonged LOS (> 17 days): rates = 20.3% versus 33.9%, OR = 2.2 (1.3–3.3), discharge to residential/nursing care: rates = 4.5% vs 12.3%, OR = 3.0 (1.4–6.4), and any two of failure to mobilise, prolonged LOS or discharge to residential/nursing care: rates = 10.5% versus 28.6%, 3.4 (95% CI 1.9–6.0), and stayed 4.1 days (1.5–6.7 days) longer in hospital. High NHFS associates with increased risk of mortality, prolonged LOS and discharge to residential/nursing care, lending further support for its use to identify adverse events.

诺丁汉髋关节骨折评分（NHFS）用于预测髋部骨折后30天和1年的死亡率。我们假设NHFS也可能预测其他不良事件。分析了2015年1月10日至2017年7月12日收治的髋关节骨折患者666例（190例男性，476例女性）的数据，年龄60.2–103.4岁。通过接受者的操作特征曲线和两张图来评估NHFS预测术后1天之内的活动能力，住院时间（LOS）发现死亡率以及出院目的地的能力。用于预测死亡率的曲线下面积（95％置信区间[CI]）为67.4％（58.4–76.4％），长期LOS为59.0％（54.0–64.0％），出院/护理时间为62.3％（54.0） –71.5％），且未动员，LOS延长或出院/护理的任何两项为64。8％（59.0–70.6％）。NHFS阈值位于4和7，对应于中等范围的上下限，其中对于死亡率和长期LOS确定了灵敏度和特异性等于90％，对于出院/护理所确定的NHFS阈值分别为4和6，这产生了三种风险类别。与低风险组（NHFS = 0–4）相比，高风险组（NHFS = 7–10或6–10）的住院死亡风险增加：比率= 2.0％对7.1％，或（95％ CI）= 3.8（1.5–9.9），在手术1天内未动员：比率= 18.9％对28.3％，OR = 1.7（1.0–2.8），长期LOS（> 17天）：比率= 20.3％对33.9 ％，OR = 2.2（1.3–3.3），出院/护理：比率= 4.5％vs 12.3％，OR = 3.0（1.4–6.4），以及动员失败，长期LOS或出院/出院的任何两项护理：费用= 10。分别为5％和28.6％，3.4（95％CI 1.9–6.0），住院时间延长了4.1天（1.5–6.7天）。较高的NHFS会增加死亡率，延长LOS和出院/护理服务的风险，从而进一步支持将其用于识别不良事件。