Akcaalan Serhat, Akbulut Batuhan, Memis Kemal, Caglar Ceyhun, Ugurlu Mahmut, Kapicioglu Mehmet Ismail Safa, Dogan Metin
Orthopedics and Traumatology Department, Ankara City Hospital, 06800 Çankaya, Turkey.
Orthopedics and Traumatology Department, Ankara Yildirim Beyazıt University, 06760 Çubuk, Turkey.
J Clin Med. 2025 May 18;14(10):3538. doi: 10.3390/jcm14103538.
: This study aimed to create a scoring system that can predict the mortality for hip fractures in the elderly, which have high mortality and morbidity rates, by using blood parameters and demographic data at admission. : Patients admitted to the hospital due to a hip fracture between January 2016 and March 2021 were included in the study. A scoring system was created using the patient's age and sex at first admission and hemoglobin, albumin and creatinine levels, neutrophil-lymphocyte ratio and monocyte-lymphocyte ratios. The scoring system was created by determining different cut-off values for each of these seven parameters. A total mortality score was determined for each patient using this scoring system. The 3-year follow-up for patients' mortality during follow-up was recorded separately for each patient. Following the inclusion and exclusion criteria, the data of 1075 patients were included in the study. : All parameters listed in the methodology section were statistically significantly different between the patients who survived and those who died in the three years after hip fracture surgery ( = 0.0001). The total scores obtained using the mortality scoring system created by combining these parameters were also statistically significantly different between the two groups ( = 0.0001). If the mortality score is >11.5, the probability of the patient with a hip fracture dying within the first three years is 63.9%. : The Akçaalan Mortality Score can provide predictive data for preoperative prediction to determine the 3-year mortality of elderly patients with hip fractures and may be helpful in terms of surgical timing. The name of this scoring system comes from the lastname of the corresponding author.
本研究旨在创建一种评分系统，通过使用入院时的血液参数和人口统计学数据，预测死亡率和发病率较高的老年髋部骨折患者的死亡率。纳入2016年1月至2021年3月因髋部骨折入院的患者进行研究。利用患者首次入院时的年龄、性别以及血红蛋白、白蛋白、肌酐水平、中性粒细胞与淋巴细胞比值和单核细胞与淋巴细胞比值创建评分系统。通过为这七个参数分别确定不同的临界值来创建评分系统。使用该评分系统为每位患者确定总死亡评分。分别记录每位患者随访期间3年的死亡率。按照纳入和排除标准，1075例患者的数据纳入研究。方法部分列出的所有参数在髋部骨折手术后三年内存活和死亡的患者之间均有统计学显著差异（P = 0.0001）。两组之间使用这些参数组合创建的死亡率评分系统获得的总分也有统计学显著差异（P = 0.0001）。如果死亡评分>11.5，髋部骨折患者在头三年内死亡的概率为63.9%。阿克恰兰死亡评分可为术前预测老年髋部骨折患者的3年死亡率提供预测数据，在手术时机方面可能会有所帮助。该评分系统的名称来自通讯作者的姓氏。
