A Case-Control Study of Hip Fracture Surgery Timing and Mortality at an Academic Hospital: Day Surgery May Be Safer than Night Surgery
by
,
Alim F. Ramji
, 
Maxwell T. Trudeau
*,
Michael R. Mancini
,
Matthew R. LeVasseur
,
Adam D. Lindsay
and
Augustus D. Mazzocca
Department of Orthopaedic Surgery, University of Connecticut Health Center, Farmington, CT 06030, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(16), 3538; https://doi.org/10.3390/jcm10163538
Submission received: 19 July 2021
/
Revised: 5 August 2021
/
Accepted: 10 August 2021
/
Published: 12 August 2021
(This article belongs to the Special Issue Severely Injured Patient in Older Age)
Abstract
:Time from hospital admission to operative intervention has been consistently demonstrated to have a significant impact on mortality. Nonetheless, the relationship between operative start time (day versus night) and associated mortality has not been thoroughly investigated. Methods: All patients who underwent hip fracture surgery at a single academic institution were retrospectively analyzed. Operative start times were dichotomized: (1) day operation—7 a.m. to 4 p.m.; (2) night operation—4 p.m. to 7 a.m. Outcomes between the two groups were evaluated. Results: Overall, 170 patients were included in this study. The average admission to operating room (OR) time was 26.0 ± 18.0 h, and 71.2% of cases were performed as a day operation. The overall 90-day mortality rate was 7.1% and was significantly higher for night operations (18.4% vs. 2.5%; p = 0.001). Following multivariable logistic regression analysis, only night operations were independently associated with 90-day mortality (aOR 8.91, 95% confidence interval 2.19–33.22; p = 0.002). Moreover, these patients were significantly more likely to return to the hospital within 50 days (34.7% vs. 19.0%; p = 0.029) and experience mortality prior to discharge (8.2% vs. 0.8%; p = 0.025). Notably, admission to OR time was not associated with in-hospital mortality (29.22 vs. 25.90 h; p = 0.685). Hip fracture surgery during daytime operative hours may minimize mortalities.
1. Introduction
Following hip fracture surgery, the 90-day mortality rate has been reported as 10–20% [1,2,3,4] with an in-hospital mortality rate of 1–5% [5,6,7,8]. The postoperative course is also highly morbid. A recent National Surgical Quality Improvement Program (NSQIP) study evaluating 31,738 hip fracture surgeries reported the median time in days from operative intervention to the occurrence of the most frequent complications, including myocardial infarction (2 days), stroke (3 days), pneumonia (4 days), pulmonary embolism (5 days), urinary tract infection (8 days), deep venous thrombosis (9 days), sepsis (11 days), superficial site infection (SSI) (16 days), deep SSI (23 days), and death (12 days) [9]. Additional postoperative complications include renal failure, hematoma, gastrointestinal hemorrhage, cerebrovascular accidents, arrhythmias, hemodynamic compromise, and infection requiring subsequent hardware removal [10,11,12,13].
Time from hospital admission to operating room (OR) has consistently been demonstrated to have a significant impact on mortality rates and postoperative outcomes. Decreased mortality rates have been observed in patients receiving surgery within 12 [14,15], 24 [6,12], 36 [16], 48 [17,18,19], and 72 [20,21,22] hours of hospital admission. Contrarily, operative delay to medically optimize patients may be essential and may not contribute to increased mortality [23,24,25]. Furthermore, traditional thinking regarding admission to OR time has also been reassessed in the setting of delaying procedures due to patients’ anticoagulation medication [26]. It is also believed that comorbid status may mediate the relationship between time to surgery and mortality [16,27]. Furthermore, other esoteric factors such as those involving the resources of the patient’s health care system and surgeon variability may also influence this relationship but are not fully captured by current research. Regardless, almost all of these studies did not account for operative start time (day versus night) in their analyses. The independent effect of operative start time on mortality has only been investigated in a handful of studies [28,29,30]. However, in the field of general surgery, a recent systematic review and meta-analysis analyzing ~3 million patients revealed that night surgery may be associated with increased mortality rates (adjusted odds ratio (aOR) = 1.47) [31]. Similar results were also seen in a multicenter retrospective cohort study of adult patients with night surgery demonstrating an increased risk of mortality (aOR = 1.26) [32].
The purpose of this study was to investigate the relationship between operative start time (day versus night) and associated mortality rates by controlling for time from admission to OR. Secondary objectives were to assess additional risk factors associated with 90-day mortality in this group. It was hypothesized that performing hip fracture surgery at night would be associated with an increased 90-day mortality.
2. Materials and Methods
2.1. Study Design
This study was a retrospective case-control study. The institutional review board at the University of Connecticut granted approval prior to initiation of the study. Data from April 2018 to July 2020 were retrospectively accrued, comprising a single institution’s experience with patients presenting with subtrochanteric, intertrochanteric, or femoral neck hip fractures. Inclusion criteria included patients 65 years of age or greater and isolated hip fractures resulting from low energy mechanisms of injury. Exclusion criteria included motor vehicle accidents or penetrating trauma, periprosthetic or bilateral hip fractures, and pathologic fractures resulting from primary or metastatic bone tumors. Operative fixation constructs included cephalomedullary nails, sliding hip screws, percutaneous hip screws, hip hemiarthroplasties, and total hip arthroplasties.
All procedures were performed at an academic hospital. For the entirety of the study, the attending surgeon was dictated by who was on call. Being a teaching hospital, the surgeries were primarily completed by a chief and junior resident, and this was the case for both day and night surgeries. Our institution has a clinical care pathway for fragility fracture patients with the goal of surgery within 48 h. Some of the major preoperative aspects of the protocol include limiting prolonged NPO (NPO reduced to only 6 h preceding surgery) and preoperative INR below 1.5. Postoperative aspects of the protocol include DVT prophylaxis beginning within 12–24 h, weight bearing and ambulation on the first postoperative day, and establishing physical therapy and orthopedic follow-up prior to discharge.
Clinical research associates under the supervision of the senior author collected preoperative patient comorbidities, operative details (type of anesthesia, fixation device, etc.), and 90-day postoperative outcomes/complications and mortalities. Time from admission to the operating room (OR) was calculated in hours. Patients were dichotomized into two independent study groups based on time of incision: (1) day operation—7 a.m. to 4 p.m.; (2) night operation—4 p.m. to 7 a.m. These time intervals correlate with the typical work hours for the OR staff at this institution. Operative time was calculated in minutes from procedure start to procedure closure. Intraoperative blood loss was estimated in milliliters by the attending surgeon at the conclusion of the case after consultation with the staff anesthesiologist.
2.2. Statistical Analysis
Descriptive statistics encompassing categorical variables are presented as frequencies and percentages, while continuous variables are presented as means and standard deviations. Pearson’s χ2 test or Fisher’s exact test and the Wilcoxon rank-sum test were used for categorical variables and nonparametric continuous variables, respectively. All tests were 2-sided. Clinical characteristics, operative details, and postoperative outcomes were compared between the two groups. Multivariable logistic regression modeling with backward stepwise elimination (p ≤ 0.10 for entry, p ≤ 0.10 for removal) was used to evaluate risk factors for 90-day mortality following hip fracture surgery. Analyses were performed with SPSS 25.0 (IBM Corporation, Armonk, NY, USA).
3. Results
3.1. Clinical Characteristics and Operative Details
From April 2018 to July 2020, 187 patients underwent hip fracture surgery at our institution. Of these, 14 were excluded for age, 2 were excluded for periprosthetic fractures, and 1 was excluded for mechanism of injury. The final population comprised 170 patients. These procedures were completed by 17 surgeons and 26 anesthesiologists, determined by who was on call. The mean age was 83.8 ± 8.08 years, and the mean body mass index was 24.97 ± 5.63 kg/m2. The majority of patients were female (69.4%) and ASA class 3 or 4 (71.2%). In terms of operative details, the average time from admission to OR was 26.0 ± 18.0 h; 71.2% of cases were performed between the hours of 7 a.m. and 4 p.m., comprising the day operation group, and 29.8% of patients were in the night group (Figure 1). Clinical characteristics for the included patients are listed in Table 1, Operative procedures included cephalomedullary nails (n = 73; 42.9%), cemented hip hemiarthroplasties (n = 68; 40.0%), percutaneous hip screws (n = 18; 10.6%), sliding hip screws (n = 8; 4.7%), and total hip arthroplasties (n = 3; 1.8%). Most importantly, there were no significant differences in preoperative comorbidities between the two operative groups. When controlling for the specific procedure, there were no significant differences in completion time (minutes) and intraoperative blood loss (mL) between day and night operations (Table 2).
3.2. Factors Associated with 90-Day Mortality
The 90-day mortality rate was 7.1% and the in-hospital mortality rate was 2.9%. Overall, night operations were associated with a significantly higher 90-day mortality rate (18.4% vs. 2.5%; p = 0.001) and accounted for 75% of all 90-day mortalities. Detailed operative start times associated with 90-day mortality are displayed in Figure 1. The factors significantly associated with 90-day mortality (n = 12) in univariable analysis are detailed in Table 3 and included age ≥85 years, male gender, night operation (OR start time between 4 p.m. and 7 a.m.), time from admission to OR, and congestive heart failure. Following the multivariable logistic regression, the only factor independently associated with increased risk for 90-day mortality was a night operation (aOR 8.91; p = 0.002; Table 3).
Furthermore, patients undergoing a night operation were significantly more likely to return to the hospital within 50 days of discharge (34.7% vs. 19.0%; p = 0.029) and experience mortality prior to discharge (8.2% vs. 0.8%; p = 0.025). These outcome metrics are summarized in Table 4.
3.3. Detailing of Mortalities Prior to Discharge from Night Operations
Most importantly, patients undergoing a night operation were 10 times more likely to experience mortality prior to discharge (n = 4; 8.2%). Notably, time from admission to OR was not significantly associated with in-hospital mortality (29.22 vs. 25.90 h; p = 0.685). Of the four patients that died, three (75%) had cardiac comorbidities (atrial fibrillation, cardiomyopathy, valvular disease, arrhythmias). Ultimately, the mean time from surgery to death was 1.75 days, with 3 of 4 (75%) of the mortalities resulting from cardiac arrest and one resulting from a stroke.
4. Discussion
The main finding of this study was that geriatric hip fracture surgeries performed at night had significantly higher rates of 90-day and in-hospital mortality than those performed during the day. Notably, operative start time appeared to have a stronger association with mortality in this series than time from admission to OR. In-hospital mortality following night operations (8.2%) was predominated by cardiac arrests occurring shortly after surgery.
In this series, the 90-day mortality rate was 7.1%, which is on par with current practice [2]. Overall, 29.8% of cases were performed as night operations. This is primarily a result of two factors: (1) our institutional protocol having a goal of surgery within 48 h and (2) increased OR availability beginning at 4:30 p.m. for hip fracture patients as mandated by our protocol. The factors associated with 90-day mortality in univariable analysis in this study included age ≥85 years, congestive heart failure, male gender, night operation (OR start time between 4 p.m. and 7 a.m.), and time from admission to OR. Expectedly, age was associated with an increased risk for mortality likely due to a decreased reserve capacity of the patient necessary to cope with the double hit of the hip fracture trauma and subsequent surgery [6]. Congestive heart failure was also identified as a potential risk factor, which is in accordance with previously published mortality analyses [1]. Lastly, time from admission to OR and night operations were also associated with increased risk for mortality. After controlling for all these factors simultaneously, the multivariable logistic regression revealed the only factor independently associated with 90-day mortality was a night operation. This is an interesting finding considering that most studies identifying time from admission to OR as a significant factor for mortality did not control for operative start time (day versus night) in their analyses [6,12,14,15,16,17].
Focusing on night operations (Table 4), it was also evident that patients undergoing night operations were almost twice as likely to return to the hospital within 50 days (p = 0.035). Night operations were significantly associated with an increased in-hospital mortality rate (8.4% vs. 0.8%; p = 0.029). Endo et al. previously identified the following factors to be associated with in-hospital mortality: age, timing of surgery, male sex, congestive heart failure, pulmonary circulation disease, renal failure, weight loss, and fluid and electrolyte disorders [5]. Conversely, time from admission to OR was not associated with in-hospital mortality in this study (29.22 vs. 25.90 h; p = 0.685).
These findings may be especially important to hospitals graded as level III–V trauma centers. It appears that operative performance is unaffected by starting during the day or at night, considering that there were no significant differences in implant usage, procedure length (minutes), and intraoperative blood loss. However, perioperative care involves a multitude of other factors that may vary between day and night operations for hip fracture patients that are not fully captured by this database but may play a larger role in mortality.
Possible underlying mechanisms that may be driving the association between night surgery and mortality include the following: extended NPO from waiting for surgery, unclear timing leading to suboptimal DVT prophylaxis, night surgery limiting postoperative weight bearing and ambulation, decreased staffing during night hours, and limited patient reserve capacity compounded by an altered circadian rhythm leading to poorer outcomes. However, it is hard to reconcile these notions as all patients followed an institutional hip fracture protocol irrespective of their operative start time (day versus night).
There are several noteworthy limitations to this study. First and foremost, this study consisted of a limited study population size resulting in the multivariable logistic regression identifying factors associated with 90-day mortality which provided a large 95% confidence interval (2.19–33.22) for night surgery, indicating some degree of imprecision. However, focusing on the absolute lowest end of the confidence interval, an adjusted odds ratio of 2.19 was still identified, warranting further investigation of this relationship. Furthermore, recent research has demonstrated ASA misclassifications, specifically underclassifications, can introduce bias, which in this study could be an additional factor increasing the adjusted odds ratio associated with night procedures [33]. While comorbidities were compared between the two groups, this study cannot account for possible confounders dictating clinical decision-making for selection and indication for day or night surgeries. This study additionally consisted of a retrospective design, which may have introduced confounding variables (e.g., nonuniformity of data collection) not typically seen in those created by a prospective study design. Moreover, some complications and possibly mortalities may have been missed if the patient presented to an alternative hospital or clinic. It is also acknowledged that patient level of mobility prior to hip fracture would be an additional variable worth controlling for; however, due to data collection limitations, this could not be considered.
5. Conclusions
These findings have important implications for the management of hip fracture patients and optimal timing of surgery. While delaying surgery may be associated with worse perioperative outcomes, the risk associated with operating at night for certain patients may be greater. Scheduling patients with complex comorbidities for day operations may better ensure optimal perioperative care and decrease in-hospital mortality rates. Future research is warranted to investigate this relationship further in order to better determine optimal hip fracture surgery timing and enhance our ability to care for these patients to decrease associated morbidity and mortality. Moreover, future research is needed to determine if these findings are present at other institutions and identify the underlying mechanisms governing the relationship between night surgery and mortality.
Author Contributions
Conceptualization, A.F.R., M.T.T., M.R.M. and M.R.L.; methodology, M.T.T.; formal analysis, M.T.T.; data curation, A.F.R., M.T.T., M.R.M. and M.R.L.; writing—original draft preparation, A.F.R., M.T.T., M.R.M. and M.R.L.; writing—review and editing, A.D.L. and A.D.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding. The University of Connecticut Health Center/UConn Musculoskeletal Institute has received direct funding and material support from Arthrex Inc. (Naples, FL, USA). The company had no influence on study design, data collection, or interpretation of the results or the final manuscript.
Institutional Review Board Statement
Ethical approval was obtained via Human Research Determination Form to the institutional review board (IRB) of the University of Connecticut (IRB # 017079).
Informed Consent Statement
Patient consent was waived due to IRB determination of exemption.
Data Availability Statement
The data presented in this study are available on request from the corresponding author. The data are not publicly available due to ethical reasons.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Forssten, M.P.; Ismail, A.M.; Sjolin, G.; Ahl, R.; Wretenberg, P.; Borg, T.; Mohseni, S. The association between the Revised Cardiac Risk Index and short-term mortality after hip fracture surgery. Eur. J. Trauma Emerg. Surg. 2020, 1–8. [Google Scholar] [CrossRef]
- Okike, K.; Chan, P.H.; Paxton, E.W. Effect of Surgeon and Hospital Volume on Morbidity and Mortality After Hip Fracture. J. Bone Jt. Surg. Am. 2017, 99, 1547–1553. [Google Scholar] [CrossRef]
- Pollmann, C.T.; Røtterud, J.H.; Gjertsen, J.E.; Dahl, F.A.; Lenvik, O.; Årøen, A. Fast track hip fracture care and mortality—An observa-tional study of 2230 patients. BMC Musculoskelet. Disord. 2019, 20, 248. [Google Scholar] [CrossRef]
- Borges, F.K.; Bhandari, M.; Patel, A.; Avram, V.; Guerra-Farfán, E.; Sigamani, A.; Umer, M.; Tiboni, M.; Adili, A.; Neary, J.; et al. Rationale and design of the HIP fracture Accelerated surgical TreaTment and Care tracK (HIP ATTACK) Trial: A protocol for an international randomised controlled trial evaluating early surgery for hip fracture patients. BMJ Open 2019, 9, e028537. [Google Scholar] [CrossRef] [Green Version]
- Endo, A.; Baer, H.J.; Nagao, M.; Weaver, M.J. Prediction Model of In-Hospital Mortality After Hip Fracture Surgery. J. Orthop. Trauma 2018, 32, 34–38. [Google Scholar] [CrossRef]
- Sheehan, K.J.; Sobolev, B.; Guy, P. Mortality by Timing of Hip Fracture Surgery: Factors and Relationships at Play. J. Bone Jt. Surg. Am. 2017, 99, e106. [Google Scholar] [CrossRef] [Green Version]
- Nkanang, B.; Parker, M.; Parker, E.; Griffiths, R. Perioperative mortality for patients with a hip fracture. Injury 2017, 48, 2180–2183. [Google Scholar] [CrossRef]
- Groff, H.; Kheir, M.M.; George, J.; Azboy, I.; Higuera, C.A.; Parvizi, J. Causes of in-hospital mortality after hip fractures in the elderly. HIP Int. 2019, 30, 204–209. [Google Scholar] [CrossRef]
- Malik, A.T.; Quatman, C.E.; Phieffer, L.S.; Ly, T.V.; Khan, S.N. Timing of complications following surgery for geriatric hip fractures. J. Clin. Orthop. Trauma 2018, 10, 904–911. [Google Scholar] [CrossRef]
- O’brien, J.; Duncan, H.; Kirish, G.; Allen, V.; King, P.; Hargraves, R.; Mendes, L.; Perera, T.; Catto, P.; Schofield, S.; et al. Prevention of pulmonary embolism and deep vein thrombosis with low dose aspirin: Pulmonary Embolism Prevention (PEP) trial. Lancet 2000, 355, 1295–1302. [Google Scholar]
- Orosz, G.M.; Magaziner, J.; Hannan, E.L.; Morrison, R.S.; Koval, K.; Gilbert, M.; McLaughlin, M.; Halm, E.A.; Wang, J.J.; Litke, A.; et al. Association of timing of surgery for hip fracture and patient outcomes. JAMA 2004, 291, 1738–1743. [Google Scholar] [CrossRef] [Green Version]
- Pincus, D.; Ravi, B.; Wasserstein, D.; Huang, A.; Paterson, J.M.; Nathens, A.B.; Kreder, H.J.; Jenkinson, R.J.; Wodchis, W.P. Association Between Wait Time and 30-Day Mortality in Adults Undergoing Hip Fracture Surgery. JAMA 2017, 318, 1994–2003. [Google Scholar] [CrossRef] [Green Version]
- Morgan, L.; McKeever, T.M.; Nightingale, J.; Deakin, D.E.; Moppett, I.K. Spinal or general anaesthesia for surgical repair of hip fracture and subsequent risk of mortality and morbidity: A database analysis using propensity score-matching. Anaesthesia 2020, 75, 1173–1179. [Google Scholar] [CrossRef] [PubMed]
- Hongisto, M.T.; Nuotio, M.S.; Luukkaala, T.; Väistö, O.; Pihlajamäki, H.K. Delay to Surgery of Less Than 12 hours Is Associated with Improved Short- and Long-Term Survival in Moderate- to High-Risk Hip Fracture Patients. Geriatr. Orthop. Surg. Rehabil. 2019, 10, 2151459319853142. [Google Scholar] [CrossRef] [Green Version]
- Bretherton, C.P.; Parker, M.J. Early surgery for patients with a fracture of the hip decreases 30-day mortality. Bone Jt. J. 2015, 97-B, 104–108. [Google Scholar] [CrossRef] [Green Version]
- Khan, H.; Khoriati, A.-A.; Lazic, S.; Navein, J.; Sharma, R.; Ellahee, N. The effect of time to surgery in neck of femur fracture patients with ASA Grade of 3 and above. HIP Int. 2020, 2020, 1120700020972025. [Google Scholar] [CrossRef]
- Leer-Salvesen, S.; Engesæter, L.B.; Dybvik, E.; Furnes, O.; Kristensen, T.B.; Gjertsen, J.E. Does time from fracture to surgery affect mortality and intraoperative medical complications for hip fracture patients? An observational study of 73,557 patients re-ported to the Norwegian Hip Fracture Register. Bone Jt. J. 2019, 101-B, 1129–1137. [Google Scholar] [CrossRef]
- Zuckerman, J.D.; Skovron, M.L.; Koval, K.J.; Aharonoff, G.; Frankel, V.H. Postoperative complications and mortality associated with operative delay in older patients who have a fracture of the hip. J. Bone Jt. Surg. Am. 1995, 77, 1551–1556. [Google Scholar] [CrossRef]
- Yaacobi, E.; Marom, O.; Gutman, N.; Zabarqa, S.; Brin, Y.; Ohana, N. Mortality following surgery for geriatric hip fractures: Is it the timing or the co-morbidities? HIP Int. 2020, 2020, 1120700020945942. [Google Scholar] [CrossRef]
- Simunovic, N.; Devereaux, P.; Sprague, S.; Guyatt, G.H.; Schemitsch, E.; Debeer, J.; Bhandari, M. Effect of early surgery after hip fracture on mortality and complications: Systematic review and meta-analysis. Can. Med. Assoc. J. 2010, 182, 1609–1616. [Google Scholar] [CrossRef] [Green Version]
- Zamora, T.; Klaber, I.; Bengoa, F.; Botello, E.; Schweitzer, D.; Amenábar, P. Management of hip fractures in the elderly. A national survey among Chilean orthopaedic surgeons. Rev. Med. Chile 2019, 147, 199–205. [Google Scholar] [CrossRef] [PubMed]
- Copp, J.; Sivasundaram, L.; Abola, M.V.; Schell, A.; Trivedi, N.N.; Ochenjele, G. Is Timing to Surgery an Independent Risk Factor for Complications Following Operative Treatment of Periprosthetic Lower Extremity Fractures? J. Orthop. Trauma 2021, 35, 315–321. [Google Scholar] [CrossRef]
- Tarrant, S.M.; Catanach, M.J.; Sarrami, M.; Clapham, M.; Attia, J.; Balogh, Z.J. Direct Oral Anticoagulants and Timing of Hip Fracture Surgery. J. Clin. Med. 2020, 9, 2200. [Google Scholar] [CrossRef] [PubMed]
- Wenk, M.; Frey, S. Elderly hip fracture patients: Surgical timing and factors to consider. Curr. Opin. Anaesthesiol. 2020, 34, 33–39. [Google Scholar] [CrossRef]
- Shani, M.; Yahalom, R.; Comaneshter, D.; Holtzman, K.; Blickstein, D.; Cohen, A.; Lustman, A. Should patients treated with oral an-ti-coagulants be operated on within 48 h of hip fracture? J. Thromb. Thrombolysis 2020, 51, 1132–1137. [Google Scholar] [CrossRef] [PubMed]
- You, D.; Xu, Y.; Ponich, B.; Ronksley, P.; Skeith, L.; Korley, R.; Carrier, M.; Schneider, P.S. Effect of oral anticoagulant use on surgical delay and mortality in hip fracture. Bone Jt. J. 2021, 103-B, 222–233. [Google Scholar] [CrossRef]
- Beaupre, L.; Khong, H.; Smith, C.; Kang, S.; Evens, L.; Jaiswal, P.; Powell, J. The impact of time to surgery after hip fracture on mortality at 30- and 90-days: Does a single benchmark apply to all? Injury 2019, 50, 950–955. [Google Scholar] [CrossRef]
- Barinaga, G.; Wright, E.; Cagle, P.J., Jr.; Anoushiravani, A.A.; Sayeed, Z.; Chambers, M.C.; El-Othmani, M.M.; Saleh, K.J. Effect of Time of Operation on Hip Fracture Outcomes: A Retrospective Analysis. J. Am. Acad. Orthop. Surg. 2017, 25, 55–60. [Google Scholar] [CrossRef]
- Chacko, A.T.; Ramirez, M.A.; Ramappa, A.J.; Richardson, L.C.; Appleton, P.T.; Rodriguez, E.K. Does late night hip surgery affect out-come? J. Trauma 2011, 71, 447–453. [Google Scholar]
- Rashid, R.H.; Zubairi, A.; Slote, M.U.; Noordin, S. Hip fracture surgery: Does time of the day matter? A case-controlled study. Int. J. Surg. 2013, 11, 923–925. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cortegiani, A.; Ippolito, M.; Misseri, G.; Helviz, Y.; Ingoglia, G.; Bonanno, G.; Giarratano, A.; Rochwerg, B.; Einav, S. Association between night/after-hours surgery and mortality: A systematic review and meta-analysis. Br. J. Anaesth. 2020, 124, 623–637. [Google Scholar] [CrossRef] [PubMed]
- Althoff, F.C.; Wachtendorf, L.J.; Rostin, P.; Santer, P.; Schaefer, M.S.; Xu, X.; Grabitz, S.D.; Chitilian, H.; Houle, T.T.; Brat, G.A.; et al. Effects of night surgery on postoperative mortality and morbidity: A multicenter cohort study. BMJ Qual. Saf. 2021, 30, 678–688. [Google Scholar] [CrossRef] [PubMed]
- Helkin, A.; Jain, S.V.; Gruessner, A.; Fleming, M.; Kohman, L.; Costanza, M.; Cooney, R.N. Impact of ASA score misclassification on NSQIP predicted mortality: A retrospective analysis. Perioper. Med. 2017, 6, 23. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1.
Distribution of patients and mortalities based on operative start time. Day operation group (7 a.m. to 4 p.m.) consisted of 121 patients with a 2.5% 90-day mortality rate. Night operation group (4 p.m. to 7 a.m.) consisted of 49 patients with an 18.4% 90-day mortality rate.
Figure 1.
Distribution of patients and mortalities based on operative start time. Day operation group (7 a.m. to 4 p.m.) consisted of 121 patients with a 2.5% 90-day mortality rate. Night operation group (4 p.m. to 7 a.m.) consisted of 49 patients with an 18.4% 90-day mortality rate.
Table 1.
Clinical Characteristics of Overall Study Group and Operative Start Time Groups (n = 170).
| Overall | Operative Start Time | ||||||
|---|---|---|---|---|---|---|---|
| Day Operation n = 121 | Night Operation n = 49 | ||||||
| Variables | n | % | n | % | n | % | p |
| Age ≥ 85 years | 84 | (49.4) | 59 | (48.8) | 25 | (51.0) | 0.789 |
| BMI (kg/m3), mean (SD) | 25.0 | (5.6) | 24.9 | (5.9) | 25.2 | (4.9) | 0.717 |
| ASA, 3 and 4 | 121 | (71.2) | 82 | (67.8) | 39 | (79.6) | 0.123 |
| Gender, female | 118 | (69.4) | 88 | (72.7) | 30 | (61.2) | 0.140 |
| Type of fracture | 0.738 | ||||||
| Femoral neck | 91 | (53.5) | 67 | (55.4) | 24 | (49.0) | |
| Intertrochanteric | 72 | (42.4) | 49 | (40.5) | 23 | (46.9) | |
| Subtrochanteric | 7 | (4.1) | 5 | (4.1) | 2 | (4.1) | |
| Type of procedure | 0.986 | ||||||
| Cephalomedullary nails | 73 | (42.9) | 52 | (43.0) | 21 | (42.9) | |
| Sliding hip screws | 8 | (4.7) | 5 | (4.1) | 3 | (6.1) | |
| Hemiarthroplasty | 68 | (40.0) | 49 | (40.5) | 19 | (38.8) | |
| Percutaneous hip screws | 18 | (10.6) | 13 | (10.7) | 5 | (10.2) | |
| Total arthroplasty | 3 | (1.8) | 2 | (1.7) | 1 | (2.0) | |
| Type of anesthesia | 0.791 | ||||||
| General | 117 | (68.8) | 84 | (69.4) | 33 | (67.3) | |
| Spinal | 53 | (31.2) | 37 | (30.6) | 16 | (32.7) | |
| Admission to OR time (hours), mean (SD) | 26.0 | (18.0) | 25.5 | (15.2) | 27.1 | (23.6) | 0.603 |
| Procedure time (minutes), mean (SD) | 96.0 | (43.6) | 97.2 | (43.7) | 92.9 | (43.8) | 0.564 |
| Blood loss (mL), mean (SD) | 175.9 | (122.0) | 168.6 | (112.6) | 192.2 | (140.9) | 0.282 |
| Asthma | 8 | (4.7) | 8 | (6.6) | 0 | (.0) | 0.107 |
| Atrial fibrillation | 52 | (30.6) | 32 | (26.4) | 20 | (40.8) | 0.066 |
| CHF | 23 | (13.5) | 14 | (11.6) | 9 | (18.4) | 0.321 |
| COPD | 17 | (10.0) | 11 | (9.1) | 6 | (12.2) | 0.576 |
| CAD | 18 | (10.6) | 14 | (11.6) | 4 | (8.2) | 0.594 |
| Diabetes | 20 | (11.8) | 13 | (10.7) | 7 | (14.3) | 0.600 |
| Delerium | 18 | (10.6) | 13 | (10.7) | 5 | (10.2) | 0.917 |
| Dementia | 45 | (26.5) | 35 | (28.9) | 10 | (20.4) | 0.254 |
| GERD | 22 | (12.9) | 15 | (12.4) | 7 | (14.3) | 0.802 |
| HTN | 105 | (61.8) | 71 | (58.7) | 34 | (69.4) | 0.193 |
| History of cancer | 23 | (13.5) | 15 | (12.4) | 8 | (16.3) | 0.621 |
| Hypothyroidism | 31 | (18.2) | 23 | (19.0) | 8 | (16.3) | 0.827 |
| Osteoarthritis | 13 | (7.6) | 7 | (5.8) | 6 | (12.2) | 0.201 |
| Osteoporosis | 27 | (15.9) | 21 | (17.4) | 6 | (12.2) | 0.409 |
| Parkinson’s | 8 | (4.7) | 5 | (4.1) | 3 | (6.1) | 0.691 |
Abbreviations: ASA, American Society of Anesthesiologists; BMI, body mass index; CAD, coronary artery disease; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; GERD; gastroesophageal reflux disease; HLD, hyperlipidemia; HTN, hypertension; OR, operating room; SD, standard deviation.
Table 2.
Procedure Time and Intraoperative Blood Loss Comparison for Day and Night Operation Groups (n = 170).
Table 2.
Procedure Time and Intraoperative Blood Loss Comparison for Day and Night Operation Groups (n = 170).
| Operative Start Time | |||||
|---|---|---|---|---|---|
| Day Operation n = 121 | Night Operation n = 49 | ||||
| Variables | Mean | SD | Mean | SD | p |
| Type of procedure | |||||
| Cephalomedullary nails (n = 73) | |||||
| Procedure time (minutes) | 83 | (36.1) | 78 | (38.4) | 0.572 |
| Blood loss (mL) | 149 | (86.2) | 158 | (89.1) | 0.716 |
| Sliding hip screws (n = 8) | |||||
| Procedure time (minutes) | 51 | (13.5) | 66 | (26.5) | 0.323 |
| Blood loss (mL) | 55 | (38.9) | 100 | (50.0) | 0.235 |
| Hemiarthroplasty (n = 68) | |||||
| Procedure time (minutes) | 124 | (32.7) | 113 | (38.5) | 0.243 |
| Blood loss (mL) | 222 | (116.9) | 232 | (151.1) | 0.785 |
| Percutaneous hip screws (n = 18) | |||||
| Procedure time (minutes) | 52 | (12.8) | 73 | (34.7) | 0.071 |
| Blood loss (mL) | 55 | (26.5) | 83 | (28.2) | 0.132 |
| Total arthroplasty (n = 3) | |||||
| Procedure time (minutes) | 212 | (17.0) | 207 | NA | 0.850 |
| Blood loss (mL) | 325 | (176.8) | 650 | NA | 0.374 |
Table 3.
Univariable and Multivariable Analysis for 90-Day Mortality.
| Univariable Analysis | Multivariable Analysis | |||||||
|---|---|---|---|---|---|---|---|---|
| No | Yes | |||||||
| Variables | n | % | n | % | p | Adjusted Odds Ratio | (95% CI) | p |
| Age | 0.078 | |||||||
| <85 years | 83 | (96.5) | 3 | (3.5) | REF | |||
| ≥85 years | 75 | (89.3) | 9 | (10.7) | 3.43 | (0.82–14.31) | 0.091 | |
| Gender | 0.047 | |||||||
| Female | 113 | (95.8) | 5 | (4.2) | REF | |||
| Male | 45 | (86.5) | 7 | (13.5) | 2.24 | (0.59–8.47) | 0.234 | |
| CHF | 0.060 | |||||||
| No | 139 | (94.6) | 8 | (5.4) | REF | |||
| Yes | 19 | (82.6) | 4 | (17.4) | 2.01 | (4.51–8.98) | ||
| Admission to OR time (hours), mean (SD) | 24.9 | (15.5) | 40.2 | (35.7) | 0.004 | 1.03 | (0.99–1.06) | 0.061 |
| Operative start time | 0.001 | |||||||
| Day operation | 118 | (97.5) | 3 | (2.5) | REF | |||
| Night operation | 40 | (81.6) | 9 | (18.4) | 8.91 | (2.19–33.22) | 0.002 | |
All variables from Table 1 were included in this analysis, but those not displayed did not obtain statistical significance required for entry. Abbreviations: CHF, congestive heart failure; CI, confidence interval; NA, not applicable; OR, operating room; SD, standard deviation. Bolding indicates significance.
Table 4.
Comparison of Various Outcome Metrics for Day and Night Operations (n = 170).
| Day Operation n = 121 | Night Operation n = 49 | ||||
|---|---|---|---|---|---|
| Outcome Metrics | n | % | n | % | p |
| Any complication prior to discharge | 33 | (27.3) | 17 | (34.7) | 0.336 |
| Return in 90 days | 39 | (32.2) | 20 | (40.8) | 0.287 |
| Return in 50 days | 23 | (19.0) | 17 | (34.7) | 0.029 |
| Relevant readmission | 7 | (5.8) | 3 | (6.1) | 1.000 |
| Mortality, 90 days | 3 | (2.5) | 9 | (18.4) | 0.001 |
| In-hospital mortality | 1 | (.8) | 4 | (8.2) | 0.025 |
| Transfusion postoperatively | 18 | (14.9) | 6 | (12.2) | 0.809 |
| LOS (days), mean (SD) | 3.5 | (3.0) | 3.5 | (2.7) | 0.995 |
Abbreviations: LOS, length of stay; OR, operating room; SD, standard deviation. Bolding indicates significance.
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Ramji, A.F.; Trudeau, M.T.; Mancini, M.R.; LeVasseur, M.R.; Lindsay, A.D.; Mazzocca, A.D. A Case-Control Study of Hip Fracture Surgery Timing and Mortality at an Academic Hospital: Day Surgery May Be Safer than Night Surgery. J. Clin. Med. 2021, 10, 3538. https://doi.org/10.3390/jcm10163538
AMA Style
Ramji AF, Trudeau MT, Mancini MR, LeVasseur MR, Lindsay AD, Mazzocca AD. A Case-Control Study of Hip Fracture Surgery Timing and Mortality at an Academic Hospital: Day Surgery May Be Safer than Night Surgery. Journal of Clinical Medicine. 2021; 10(16):3538. https://doi.org/10.3390/jcm10163538
Chicago/Turabian StyleRamji, Alim F., Maxwell T. Trudeau, Michael R. Mancini, Matthew R. LeVasseur, Adam D. Lindsay, and Augustus D. Mazzocca. 2021. "A Case-Control Study of Hip Fracture Surgery Timing and Mortality at an Academic Hospital: Day Surgery May Be Safer than Night Surgery" Journal of Clinical Medicine 10, no. 16: 3538. https://doi.org/10.3390/jcm10163538
APA StyleRamji, A. F., Trudeau, M. T., Mancini, M. R., LeVasseur, M. R., Lindsay, A. D., & Mazzocca, A. D. (2021). A Case-Control Study of Hip Fracture Surgery Timing and Mortality at an Academic Hospital: Day Surgery May Be Safer than Night Surgery. Journal of Clinical Medicine, 10(16), 3538. https://doi.org/10.3390/jcm10163538
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