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- DOI 10.18231/j.ijos.2023.046
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One month and one year mortality of hip fractures in a tertiary care hospital in south India- A retrospective cohort study
Introduction
Proximal femur or Hip fractures are those that are occurring between the edge of the femoral head and lesser trochanter.[1] Worldwide incidence of hip fractures is estimated to increase by 4.50-6.26 million by 2050 and half of that being in Asia.[2] United States with a population of 332 million reported 300000 hip fractures annually according to CDC data. Hip fractures in the United Kingdom were expected to increase from 79000 in 2010 to 104,000 by 2025 costing £2 billion a year.[3] The incidence of hip fractures in China plateaued from 2012 to 2016 and is expected to decline like in other developed countries. Although the total number of hip fractures has increased because of the ageing population.[4]
Scientific data regarding hip fractures are not available in India, but according to population data by World Bank in 2019, India is estimated to have 9% aged 60 years and above which is corresponding to 116 million approximately. This is four times than that of United States and the incidence should be twice or thrice of 300000 hip fractures that occur in United States. Improving life expectancy will also increase the ageing population in India. Meanwhile, there are some literatures which had made some projections on incidence of hip fractures in India. Asian projective study for hip fractures projected India's number in 2018 to be around 330000 which may increase to 800000 in 2050.[5] Approximate incidence of hip fractures in India is 129 /100000[6] and is 278 per 100000 between 2013 and 2016 in China.[7]
Similar trends in the incidence of hip fractures as in developed countries and with the developed nations having a 30-day mortality rate between 5% - 10% and a one-year mortality rate between 15% and 40%, will burden the already fragile health infrastructure in rural India. Proper data about mortality is lacking in India. Our aim is to look at the 1 month and 1 year mortality rate and possibly look at the factors influencing them.
Materials and Methods
This is a retrospective cohort study performed at our hospital which is a Level III Trauma Care Hospital, in South India over a 2-year period between January 2017 and December 2018. All hip fractures - neck of femur and inter trochanteric-fractures aged 60 and above were included. Patients with pathological fractures, polytrauma, and recent contralateral lower limb fractures were excluded from the study. Institutional ethical committee approval was obtained for the study.
We collected eight parameters from case notes retrospectively ([Table 1]). Neck of femur fractures were treated with hemiarthroplasty or total hip replacement and most of the intertrochanteric fractures were treated with Proximal Femoral Nailing (PFN). All patients were ambulated postoperatively within 48 hours patients. Subcutaneous thromboprophylaxis with low molecular weight heparin of 2500 I.U. was given while in the hospital and after discharge Aspirin 150mg was continued for 4 weeks. Patients were reviewed from 6 weeks to 3 months. One month mortality was ascertained from case notes and telephone interview. A telephone follow-up after a year was conducted regarding the survival of the patient and if there was a mortality, information regarding the date and cause of death was collected in local vernacular language.
S.No |
Parameters |
1 |
Time Taken for admission from fall |
2 |
Time to Surgery |
3 |
Co-Morbidities |
4 |
Preoperative Haemoglobin |
5 |
ASA Grade |
6 |
Anaesthesia |
7 |
Type of surgery |
8 |
Post-operative complications |
Results
A total of 167 patients were evaluated ([Table 2]), with a mean age of 70.8; 90 of these patients (53.9%) were male, and 77 (46.1%) were female. A total of 65 patients (38.1%) had more than one co-morbidity. Eighty-two had (49.1%) hip fracture and eighty-five (50.9%) had an intertrochanteric fracture. Of 167 patients 30.53% (n=51) were treated with hemiarthroplasty, 84 (50.29%) underwent proximal femur nail (PFN), and 24 (14.37%) total hip replacement (THR). The mean (±SD) duration from injury to surgery was 2.9 (±3.6) days, and the mean (±SD) duration of hospital stay was 11.8 (±4.3) days. Several postoperative complications were noted ([Table 3]) and it was observed that anaemia (10%) was the most common postoperative complication.
A total of four patients (2.4%) died within 30 days of admission, and 25 patients (14.9%) died within one year. Statistical analysis was done using SPSS software to find factors influencing mortality.
The factors significantly associated and found to be predictor of mortality (P<0.001 by Chi-square test) were:-
Timing of surgical intervention from injury: For one day increase between injury and surgery, the chance of mortality is likely to be 11% more or about 1.11 times higher compared to those who undergo surgery on the same day of injury. ([Table 5], [Table 6])
ASA grade of more than 2 : Among 167 patients, ASA grade was more than 2 for 57 patients (34%). Forty-seven patients had two co-morbidities, sixteen patients had three co-morbidities and 2 patients had more than 3 comorbidities. There is increase in mortality rate as the ASA grade increases in patients. The overall mortality rate in patients with ASA grades > 2 is 24.6 ([Table 4]).
Development of postoperative complications: Twenty-five (15%) of 167 patients developed post-operative complication and the mortality rate was 52%.
Other variables did not have any significant effect on mortality.([Table 4]) Since three variables were found to be statistically significant in the univariate analysis, ([Table 5]) those variables were considered for multivariate logistic regression analysis ([Table 6]). The results were consistent with that of univariate. However, ASA GRADES of more than 2 and the presence of postoperative complications were stronger predictors of mortality.([Table 6])
Variables |
Categories |
n |
% |
Gender |
Female |
77 |
46.1 |
Male |
90 |
53.9 |
|
Age (years) at the time of surgery |
Mean ±SD (min-max) |
70.8±7.8(60-92) |
|
Age Distribution |
51-60 years |
6 |
3.6 |
61-70 years |
91 |
54.5 |
|
71-80 years |
47 |
28.1 |
|
>80 years |
23 |
13.8 |
|
Distribution by fracture Type |
Neck of femur fracture |
82 |
49.1 |
Intertrochanteric femur fracture |
85 |
50.9 |
|
Distribution by Procedure Type |
Hemiarthroplasty |
51 |
30.53 |
Proximal femur Nail |
84 |
50.29 |
|
Total Hip Replacement |
24 |
14.37 |
|
DHS |
6 |
3.59 |
|
CC Screw |
2 |
1.19 |
|
Distribution by ASA grades |
1 |
37 |
22.2 |
2 |
73 |
43.7 |
|
3 |
53 |
31.7 |
|
4 |
4 |
2.4 |
|
Duration (days) admission to discharge |
Mean ±SD (min-max) |
11.8±4.3(2-30) |
|
Duration (days) injury to surgery |
Mean ±SD (min-max) |
2.9±3.6(0-24) |
|
Admission to Surgery |
<48 hours |
140 (83.8%) |
|
Admission to Surgery |
>48 hours |
27 (16.2%) |
|
30-day Mortality |
2.4% (4/167) |
|
|
1 year Mortality |
14.9% (25/167) |
|
Complications |
Number of patients |
Heterotrophic ossification |
2 |
Pulmonary oedema |
5 |
Stroke |
1 |
Basal atelectasis with hypoxia |
5 |
Sepsis |
1 |
Surgical site ooze |
1 |
Acute kidney injury |
1 |
Electrolyte imbalance |
3 |
Periprosthetic fracture |
2 |
Anaemia needing transfusion |
16 |
Deep vein thrombosis |
1 |
Oliguria |
4 |
Screw Irritation |
3 |
Peri implant fracture |
1 |
Myocardial infarction |
2 |
Variables |
Death rate (%) |
P-value |
Gender |
|
|
Males (n=90) |
16.7 |
0.506 |
Females (n=77) |
13.0 |
|
Type of procedure |
|
|
1 (n=51) |
17.8 |
0.705 |
2 (n=84) |
15.6 |
|
3 (n=24) |
5.3 |
|
4 (n=6) |
20.0 |
|
5 (n=2) |
0.0 |
|
Fracture Type |
|
|
1 (n=82) |
15.9 |
0.753 |
2 (n=85) |
14.1 |
|
Comorbidities |
|
|
Nil (n=48) |
12.5 |
0.861 |
One comorbidity (n=54) |
14.8 |
|
Two comorbidities (n=47) |
19.1 |
|
Three comorbidities (n=16) |
12.5 |
|
More than three comorbidities (n=2) |
0.0 |
|
ASA grade |
|
|
<= 2 grades (n=110) |
10.0 |
0.012 |
> 2 grades(n=57) |
24.6 |
|
Postoperative complications |
|
|
Absent (n=142) |
8.5 |
<0.001 |
Present (n=25) |
52.0 |
Variables |
Odds ratio |
p-value |
95% Confidence Limits |
|
|
|
|
Lower |
Upper |
Age |
1.03 |
0.117 |
0.99 |
1.08 |
Gender |
1.36 |
0.488 |
0.57 |
3.23 |
Duration |
1.01 |
0.858 |
0.92 |
1.11 |
The interval between Injury and Surgery |
1.11 |
0.033 |
1.01 |
1.22 |
Fracture Type |
0.86 |
0.728 |
0.37 |
2.01 |
ASA-grade>2 |
2.93 |
0.015 |
1.23 |
6.97 |
Comorbidity present |
1.33 |
0.571 |
0.50 |
3.56 |
Postoperative complications present |
11.74 |
<0.001 |
4.39 |
31.35 |
Pre op Hb |
0.86 |
0.127 |
0.71 |
104 |
Post op Hb |
0.87 |
0.231 |
0.68 |
1.10 |
Variables |
Odds ratio |
p-value |
95% Confidence Limits |
|
|
|
|
Lower |
Upper |
The interval between Injury and Surgery |
1.06 |
0.044 |
1.02 |
1.20 |
ASA-grade>2 |
4.24 |
0.007 |
1.49 |
12.08 |
Postoperative complications present |
14.11 |
<0.001 |
4.63 |
42.95 |
Study |
30-day Mortality |
Number of patients |
Mean age |
National Hip fracture Database UK 2019 |
6.5% |
67302 |
NA |
Ram et al (India) |
10.3% (In hospital) |
270 |
NA |
Gupta et al (India) |
6.6% |
120 |
72.5 |
Blanco et al (Spain) |
6% |
923 |
86.22 |
Huette et al (France) |
6.1% |
309 |
85 |
Chia et al (Australia) |
8.1% |
183 |
80 |
Nia et al (Austria) |
6.1% |
1101 |
83 |
Al-Mohrej et al (Saudi Arabia) |
5% |
99(only NOF) |
71 |
De Joode et al (Netherlands) |
7.9% |
216 |
82.2 |
Meessen et al (Italy) |
4.7% |
828 |
83.3 |
Gundel et al (Denmark) |
9.6% |
113721(15y) |
78.9 |
Silva et al (Brazil) |
7.5% (in hospital) |
213 |
77.7 |
Makwana et al (India) |
7.7% |
376 |
NA |
Our study |
2.4% |
167 |
70.8 |
Study |
1-year Mortality |
Number of Patients |
Mean Age |
Mohamed et al (UK) |
21.5% |
1086(only NOF) |
78.3 |
Karademir et al (Turkey) |
40% |
115 |
83.3 |
Harvey et al (Australia) |
26% |
24500 |
84.6 |
Gupta et al (India) |
18% |
120 |
72.5 |
Huette et al (France) |
23.9% |
309 |
85 |
Chia et al (Australia) |
21.6% |
183 |
80 |
Schnell et al (USA) |
21.2% |
758 |
84.8 |
Al-Mohrej etal (Saudi Arabia) |
15.6% |
99(only NOF) |
71 |
Gurger.M (Turkey) |
22% |
109 |
79.3 |
Aprato et al (Italy) |
24.7% |
516 |
83.6 |
De Joode et al (Netherlands) |
37.0 |
216 |
82.2 |
Meessen et al (Italy) |
20.7% |
828 |
83.3 |
Gundel et al (Denmark) |
27% |
113721 (15 yr. Study) |
78.9 |
Silva et al (Brazil) |
25.8% |
213 |
77.7 |
Our study |
13.8% |
167 |
70.8 |
Discussion
The 30-day mortality varies from 5% to 10% while one-year mortality varies from 15% to 40% in various literatures. The one-year mortality rate has dropped to 22% globally because of recent developments in medical science and early patient surgery.[8] In our study 1 month mortality was 2.4% (4/167) and 1 year mortality was 14.9% (25/167).
Early surgery has consistently decreased mortality and is one of many factors that affect mortality. The National Institute of Clinical Excellence (NICE) in the UK advises having surgery the same day or the following day after being hospitalised. According to Nia et al.,[9] individuals who underwent surgery 24 hours after being admitted to the hospital had a higher 30-day death rate. According to the National Hip Fracture Database (NHFD), UK 2019, 68% of patients had surgery the same day they were admitted to the hospital. Scottish standards of treatment for hip fracture, approved by the Association of Anaesthetists from the UK in 2018,[10] advised surgery within 36 hours after hospitalisation. In our study, 83% of patients underwent surgery within 48 hours of admission.
According to our findings, the death rate increases to 17.9% from 13.9% when surgery is postponed for more than two days. Either because patients try native medicine first or because of financial restrictions, hospitalisation in India takes longer. Higher mortality was documented in a study by Ram et al[11] in Chennai, India, when surgery was conducted more than 48 hours after admission. There are no good studies on timing of hip fractures in India.
Advancing age is a significant influencing factor for mortality. The average age of our patients is 70.8 which is significantly lower than developed countries.[12], [13], [14], [15] The mean age of our patients who died (72) is comparatively higher than the mean age of patients who survived (67) but it was not statistically significant (p 0.113). In Age-specific mortality study performed in China; the mortality was 2.65% in 50-54 years of age which increased to 28.91% in 95-99 years of age.[16] Most patients with hip fractures have one or more comorbid status which will influence mortality. Patients with three or more co-morbidities have a higher chance of mortality.[17] Lloyd et al[18] reported that a higher age adjusted Charlson co-morbidity index (ACCI) correlated with higher mortality. A Charlson comorbid score of 4 or above is predictive of higher mortality.[19] A long-term follow-up study from Singapore showed a strong Association between mortality and Charlson comorbidity index.[20] Lunde et al[21] who looked at the role of comorbidity in hip fractures in women in Norway showed a strong association between comorbidity and short-term absolute excess mortality and long-term relative excess mortality.
Our findings indicated that patients with more than two comorbid conditions had a higher mortality rate. ASA grade greater than 2 was significant in both the univariate and multivariate analyses (p 0.015), (p 0.007). Numerous literatures worldwide have supported this.[9], [22], [23], [24] Postoperative complications are well-known to increase mortality. Arrhythmia, hypokalaemia, and respiratory insufficiency were associated with increased 30-day mortality in a study from Spain.[24] Postoperative oliguria was found to be a significant factor in an Australian study.[22] Acute renal impairment and post-operative oliguria were significant factors in the study from Saudi Arabia.[25] In our analysis, postoperative complications were significantly linked to higher mortality.
One month mortality in our study was 2.4% (4/167). This is far less than the rate quoted in western literature. ([Table 7])
The 1-year mortality rate in our study was 14.9% (25/167). According to a study performed by Downey et al[8] the 1-year mortality worldwide was quoted as Europe (23.3%), Asia (17.89%), Oceania (Australia) (24.9%), North America 21%, South America 26.8% and worldwide 1-year mortality overall as 22%. Our 1-year mortality compared to similar studies is tabulated below ([Table 8]).
1-month and 1-year mortality in our study are low when compared to developed countries . This may be because our hospital has all specialities on-site and usually, we operate the next day of admission. Although we don't have geriatric service in our hospital this doesn't reflect in the results. In India patients are not discharged into a community setup, all patients go home where they are taken care of by their families.
With the Covid-19 pandemic, the 30-day mortality has increased in this group of patients with hip fractures confounding an already difficult problem. A meta-analysis by Kumar et al[26] has shown that 30-day mortality in patients with concomitant Covid-19 with hip fracture is around 34.7%. The national hip fracture database in the UK has also shown that hospital mortality increased to 30% in March 2020.
Limitations of our study, it is a retrospective cohort study and data was collected by going through the notes. When compared to literature worldwide, our numbers are not significant. But our key strength was obtaining all patient data on mortality which was our major goal.
Conclusion
Timing of Surgical intervention is found to be the most important factor for mortality in hip fractures while ASA grade 2 and development of post-operative complication were strong predictors of mortality. Our mortality rate is on par with or even better than the developed countries which gives us confidence for the best patient care. 83% of patients were operated within 48 hours, and we have immediate access to various specialities for management of post-operative complications which may have played a role in reducing our mortality rate.
Source of Funding
None.
Conflict of Interest
None.
References
- . The Management of Hip Fracture in Adults [Internet]. 2011. [Google Scholar]
- C Cooper, G Campion, LG Melton. Hip fractures in the elderly: a world-wide projection. Osteoporos Int 1992. [Google Scholar]
- J Leal, AM Gray, D Prieto-Alhambra, NK Arden, C Cooper, MK Javaid. Impact of hip fracture on hospital care costs: a population-based study. Osteoporos Int 2016. [Google Scholar]
- C Zhang, J Feng, S Wang, P Gao, L Xu, J Zhu. Incidence of and trends in hip fracture among adults in urban China: A nationwide retrospective cohort study. China; PLOS ONE medicine. PLoS Med 2020. [Google Scholar] [Crossref]
- CL Cheung, SB Ang, M Chadha, ESL Chow, YS Chung, FL Hew. An updated hip fracture projection in Asia: The Asian Federation of Osteoporosis Societies study. Osteoporos Sarcopenia 2018. [Google Scholar]
- DK Dhanwal, R Siwach. Incidence of hip fracture in Rohtak district, North India. Arch Osteoporos 2013. [Google Scholar]
- XF Gong, XP Li, LX Zhang, JR Center, D Bliuc, Y Shi. Current status and distribution of hip fractures among older adults in China. China. Osteoporos Int 2021. [Google Scholar]
- C Downey, M Kelly, JF Quinlan. Changing trends in the mortality rate at 1-year post hip fracture - a systematic review. World J Orthop 2019. [Google Scholar]
- A Nia, D Popp. Predicting 30-Day and 180-Day Mortality in Elderly Proximal Hip Fracture Patients: Evaluation of 4 Risk Prediction Scores at a Level I Trauma Center. Diagnostics (Basel) 2021. [Google Scholar]
- R Griffiths, S Babu, P Dixon, N Freeman, D Hurford, E Kelleher. Guideline for the management of hip fracture 2020. Anaesthesia 2021. [Google Scholar]
- GG Ram, P Govardhan. In-Hospital Mortality following Proximal Femur Fractures in Elderly Population. Surg J (N Y) 2019. [Google Scholar]
- F Roder, M Schwab. . Proximal femur fracture in older patients - rehabilitation and clinical outcome. Germany; Age and ageing 2003. [Google Scholar]
- L Harvey, B Toson. Incidence, timing, and impact of comorbidity on second hip fracture: a population-based study. Australia. ANZ J Surg 2018. [Google Scholar]
- DMW Silva, M Lazaretti-Castro, CAF Zerbini. Incidence and excess mortality of hip fractures in a predominantly Caucasian population in the South of Brazil. Arch Osteoporos 2019. [Google Scholar] [Crossref]
- O Gundel, LC Thygesen, I Gögenur, S Ekeloef. Postoperative mortality after a hip fracture over a 15year period in Denmark: A National register study. Denmark. Acta Orthop 2020. [Google Scholar]
- Z Cui, H Feng, X Meng, S Zhuang, Z Liu, K Ye. Age-Specific 1-year mortality rates after hip fracture based on the populations in mainland China between the years 2000 and 2018: a systematic analysis. Arch Osteoporos 2019. [Google Scholar]
- RR Goyal, H Makwana. Correlation of preoperative co-morbidities with post-operative outcomes in patients operated for hip fractures. India. Int J Med Res Rev 2016. [Google Scholar]
- R Lloyd, G Baker, J Macdonald, NW Thompson. Co-morbidities in Patients with a Hip Fracture. Ulster Med J 2019. [Google Scholar]
- K Shigemoto, T Sawaguchi, K Goshima, S Iwai, A Nakanishi. The effect of a multidisciplinary approach on geriatric hip fractures in Japan. J Orthop Sci 2018. [Google Scholar]
- EL Yong, G Ganesan, MS Kramer, TS Howe, JSB Koh, WP Thu. Risk Factors and Trends Associated With Mortality Among Adults With Hip Fracture in Singapore. JAMA Netw Open 2020. [Google Scholar]
- A Lunde, GS Tell, AB Pedersen, TH Scheike, EM Apalset, V Ehrenstein. The Role of Comorbidity in Mortality After Hip Fracture: A Nationwide Norwegian Study of 38,126 Women with Hip Fracture Matched to a General-Population Comparison Cohort. Am J Epidemiol 2019. [Google Scholar]
- PH Chia, L Gualano, S Seevanayagam, L Weinberg. Outcomes following fractured neck of femur in an Australian metropolitan teaching hospital. Bone Joint Res 2013. [Google Scholar]
- P Huette, O Abou-Arab, AE Djebara, B Terrasi, C Beyls, PG Guinot. Risk factors and mortality of patients undergoing hip fracture surgery: a one-year follow-up stud. Sci Rep 2020. [Google Scholar] [Crossref]
- JF Blanco, CD Casa, C Pablos-Hernández, A González-Ramírez, JM Julián-Enríquez, A Díaz-Álvarez. 30-day mortality after hip fracture surgery: Influence of postoperative factors. PLoS One 2021. [Google Scholar] [Crossref]
- OA Al-Mohrej, FN Alshaalan, SS Aldakhil, WA Rahman. One year mortality rates following fracture of the femoral neck treated with hip arthroplasty in an aging Saudi population: A trauma centre experience. Saudi; Geriatric orthopaedic surgery and rehabilitation. Geriatr Orthop Surg Rehabil 2020. [Google Scholar]
- MK Patralekh, VK Jain, KP Iyengar, GK Upadhyaya, R Vaishya. Mortality escalates in patients of proximal femoral fractures with COVID-19: A systematic review and meta-analysis of 35 studies on 4255 patients. J Clin Orthop Trauma 2021. [Google Scholar]
How to Cite This Article
Vancouver
V SN, Vassan UT, Pragasam PV, V S. One month and one year mortality of hip fractures in a tertiary care hospital in south India- A retrospective cohort study [Internet]. Indian J Orthop Surg. 2023 [cited 2025 Sep 13];9(4):243-249. Available from: https://doi.org/10.18231/j.ijos.2023.046
APA
V, S. N., Vassan, U. T., Pragasam, P. V., V, S. (2023). One month and one year mortality of hip fractures in a tertiary care hospital in south India- A retrospective cohort study. Indian J Orthop Surg, 9(4), 243-249. https://doi.org/10.18231/j.ijos.2023.046
MLA
V, Senthil Narayanan, Vassan, U. T, Pragasam, Prabu Vairavan, V, Sathyanarayana. "One month and one year mortality of hip fractures in a tertiary care hospital in south India- A retrospective cohort study." Indian J Orthop Surg, vol. 9, no. 4, 2023, pp. 243-249. https://doi.org/10.18231/j.ijos.2023.046
Chicago
V, S. N., Vassan, U. T., Pragasam, P. V., V, S.. "One month and one year mortality of hip fractures in a tertiary care hospital in south India- A retrospective cohort study." Indian J Orthop Surg 9, no. 4 (2023): 243-249. https://doi.org/10.18231/j.ijos.2023.046