Abstract

IntroductionThe postoperative mortality rate following a femoral neck fracture remains high. The Surgical Apgar Score (SAS), based on intraoperative blood loss, the lowest mean arterial pressure, and the lowest heart rate, was created to predict 30-day postoperative major complications. Here, we evaluated the relationship between the SAS and postoperative complications in patients who underwent femoral neck surgeries.MethodsWe retrospectively collected data from patients with femoral neck surgeries performed in 2012–2017 at Kumamoto Central Hospital. The variables required for the SAS and the factors presumably associated with postoperative complications including the patients’ characteristics were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity in category variables. The Mann-Whitney U test was used to test for differences in continuous variables. We assessed the power of the SAS value to distinguish patients who died ≤ 90 days post-surgery from those who did not, by calculating the area under the receiver operating characteristic curve (AUC).ResultsWe retrospectively examined the cases of 506 patients (94 men, 412 women) aged 87 ± 6 (range 70–102) years old. The 90-day mortality rate was 3.4% (n = 17 non-survivors). There were significant differences between the non-survivors and survivors in body mass index (BMI), the presence of moderate to severe valvular heart disease, albumin concentration, the American Society of Anesthesiologists (ASA) classification, and the SAS. The 90-day mortality rate in the SAS ≤ 6 group (n = 97) was 10.3%, which was significantly higher than that in the SAS ≥ 7 group (n = 409), 1.7%. The AUC value to predict the 90-day mortality was 0.70 for ASA ≥ 3 only, 0.71 for SAS ≤ 6 only, 0.81 for SAS ≤ 6 combined with ASA ≥ 3, and 0.85 for SAS ≤ 6 combined with albumin concentration < 3.5 g/dl, BMI ≤ 20, and the presence of moderate to severe valvular heart disease.ConclusionsOur results suggest that the SAS is useful to evaluate postoperative complications in patients who have undergone a femoral neck surgery. The ability to predict postoperative complications will be improved when the SAS is used in combination with the patient’s preoperative physical status.

Highlights

  • The postoperative mortality rate following a femoral neck fracture remains high

  • We retrospectively analyzed the relationship between the Surgical Apgar Score (SAS) and postoperative complications in the patients who underwent femoral neck surgeries over a 6-year period at our hospital, and our findings revealed the usefulness of the SAS for predicting postoperative complications in such patients

  • Patients who underwent osteosynthesis or hip hemiarthroplasty for a femoral neck fracture under general or spinal anesthesia performed between January 1, 2012, and December 31, 2017, at Kumamoto Central Hospital were eligible for this study

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Summary

Introduction

The postoperative mortality rate following a femoral neck fracture remains high. The Surgical Apgar Score (SAS), based on intraoperative blood loss, the lowest mean arterial pressure, and the lowest heart rate, was created to predict 30-day postoperative major complications. The risk factors related to postoperative mortality after femoral neck surgeries are generally thought to be advanced age, dementia, low level of daily life activity, male gender, anemia, low value body mass index (BMI), and underlying cardiac-related diseases [3, 4]. Most of these factors reflect a patient’s preoperative status and do not include the patient’s intraoperative status. The Surgical Apgar Score (SAS), which is based on the patient’s intraoperative blood loss, lowest mean arterial pressure, and lowest heart rate, has been reported to be useful for predicting postoperative complications in general and in vascular surgeries [5]. We retrospectively analyzed the relationship between the SAS and postoperative complications in the patients who underwent femoral neck surgeries over a 6-year period at our hospital, and our findings revealed the usefulness of the SAS for predicting postoperative complications in such patients

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