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ORIGINAL RESEARCH article

Front. Med., 29 July 2025

Sec. Geriatric Medicine

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1643181

The Clinical Frailty Scale and incidence of adverse outcomes in older patients with hip fractures in Qatar

Shirmila Syamala
Shirmila Syamala1*Francisco Jos Tarazona Santabalbina,Francisco José Tarazona Santabalbina2,3Jorge Luis PassarelliJorge Luis Passarelli1Brijesh SathianBrijesh Sathian1Navas NadukkandiyilNavas Nadukkandiyil1Hanadi Al HamadHanadi Al Hamad1
  • 1Department of Geriatrics and Long-Term Care, Hamad Medical Corporation, Doha, Qatar
  • 2Geriatric Medicine Department, Hospital Universitario de la Ribera, Alzira, Spain
  • 3Medical School, Universitat Catòlica de València Sant Vicent Màrtir, Valencia, Spain

Background: Studies conducted on Western populations have shown that the Clinical Frailty Scale (CFS) is a major predictor of adverse outcomes in older patients with hip fractures; however, there are no data on Middle Eastern populations, who may be culturally and ethnically different. We examined the association between the preoperative Clinical Frailty Scale and multiple adverse outcomes in a cohort of patients with hip fractures (aged 60–96 years) in Qatar.

Methods: This prospective, single-center observational cohort study included 155 patients aged ≥ 60 years with hip fractures from Qatar. These patients underwent a Clinical Frailty Scale assessment at baseline and were followed to evaluate four outcomes of interest: incident delirium, postoperative complications, all-cause mortality within a year, and increased length of stay (LoS) (LoS ≥ 14 days).

Results: A total of 155 patients with hip fractures (average age 74.6 years, 46.5% women) were included in the study. At baseline, 72.2% had a Clinical Frailty Scale score of <5, 12.3% had a score of 5, and 15.5% had a score > 5. Higher baseline scores on the Clinical Frailty Scale were strongly and positively associated with delirium, postoperative complications, and all-cause mortality, but there was no association with length of hospital stay. Compared to the patients with Clinical Frailty Scale scores < 5, those with scores > 5 had significantly higher multivariable risk ratios (RR) (with 95% confidence interval [CI]) for various outcomes. Specifically, the RR for delirium was 7.76 (3.17–18.97), for postoperative complications, it was 3.59 (1.20–10.77), for all-cause mortality, it was 6.39 (1.45–28.20), and for length of stay ≥14 days, it was 1.43 (0.75–2.73).

Conclusion: The Clinical Frailty Scale was positively associated with delirium, postoperative complications, and all-cause mortality but not with length of hospital stay in patients with hip fractures from Qatar.

Introduction

Frailty is a well-recognized syndrome characterized by a decline in physiological and functional reserves in older adults, causing increased vulnerability to adverse health outcomes, even with minor stressors (1). As the global population is aging and increasingly requires complex medical and surgical care, the importance of screening for and addressing frailty in medical and surgical patients assumes great significance.

Frailty assessment is recommended in several pre-operative risk assessment guidelines (2), and various tools for the assessment of frailty have been utilized and show a strong correlation with outcomes (3). The Clinical Frailty Scale (CFS), a nine-point global assessment tool for frailty based on clinical assessments, was developed from extensive Canadian studies on frailty (4). The CFS is an accurate, reliable, and feasible instrument for preoperative frailty assessment (3). It can be completed in an average of 45 s after a preoperative clinical assessment and is logistically easy to perform (5). However, despite the availability of effective and feasible frailty assessment tools, their incorporation in the preoperative evaluation of older patients remains suboptimal (6, 7).

Hip fracture is an increasing public health challenge. According to the International Osteoporosis Foundation, there were 1.6 million patients with hip fractures globally in 2000, and this number is projected to increase up to 6.3 million by 2050 (8, 9). The incidence rate of osteoporotic hip fractures in Qatar has been reported as 141.7 per 100,000 for the population aged 50 years and older (10). Preoperative frailty has been associated with poor outcomes after hip fracture (11, 12). A higher Clinical Frailty Scale score has been found to be associated with adverse outcomes such as delirium, postoperative complications, mortality, and increased length of hospital stay in surgical patients (3, 13, 14). However, the majority of these studies were conducted on Western populations. Despite an estimated pooled frailty prevalence of 35% among older adults in the Middle East (15), no studies have examined the association between Clinical Frailty Scale scores and hip fracture outcomes in this region. In this context, we examined the association between the Clinical Frailty Scale and several adverse outcomes, including incident delirium during hospitalization, postoperative complications, all-cause mortality, and increased length of hospital stay, in a prospective sample of older adult patients with hip fractures from the largest healthcare facility in Qatar.

Methods

This study was designed as a prospective, single-center observational cohort study. Consecutive inpatients aged ≥60 years who were residents of Qatar and admitted with neck of femur fractures between 2022 and 2024 at Hamad Medical Corporation—the largest acute tertiary care academic public sector hospital in Qatar—were included. Patients who refused to consent, were temporary visitors, had fractures resulting from high-impact trauma (e.g., traffic accidents), suffered from periprosthetic fractures, or were terminally ill were excluded. Informed consent was obtained from all patients (or their legally authorized representatives), and ethical approval for the study was obtained from the Hamad Medical Corporation Institutional Review Board (Reference number IRGC 05-JI-18-297; approved June 22, 2020).

Eligible patients were screened for inclusion in the study when they were admitted to the emergency department. Informed written consent was obtained to assess and follow up on patient outcomes, including electronic healthcare record reviews. Data collectors, including the study research assistant, pathway coordinator, and physical therapists, received training prior to the start of the study. Of the 252 patients with hip fractures screened during the study period, 42 were non-residents of Qatar on temporary visits, 45 refused to give consent, 2 had terminal illnesses, and 8 had high-impact trauma or periprosthetic fractures. A total of 155 patients with hip fractures who provided informed consent were included in the current study.

Measures

All patients were assessed using the Clinical Frailty Scale (CFS), which is scored from 1 to 9, with 1 indicating ‘very fit’ and 9 indicating ‘terminally ill’ (4). Information was also collected on demographic variables, comorbidities, medications, length of stay (LoS), postoperative complications, and mortality up to 1 year. All patients underwent a comprehensive geriatric assessment conducted by the orthogeriatric team. Demographic and clinical variables, including diagnoses of diabetes, chronic kidney disease, and polypharmacy, were collected from hospital records.

To account for pre-existing diseases and medical conditions present at the time of admission, the Charlson Comorbidity Index was calculated. Patients were classified based on the scores calculated using the weighted categories of the CCI. Myocardial infarction, peripheral vascular disease, congestive heart failure, cerebrovascular disease, dementia, chronic obstructive pulmonary disease, peptic ulcer disease, mild liver disease, and uncomplicated diabetes mellitus were each assigned a score of one. Diabetes mellitus with end-organ damage, severe chronic kidney disease (on dialysis, status post-kidney transplant), solid tumors without metastasis, leukemia, and lymphoma were each assigned a score of two points. Moderate and severe liver diseases were assigned a score of three. Solid tumors with metastasis and AIDS were each assigned a score of six (16). Polypharmacy was defined as the use of five or more concurrent systemic medications (17).

Delirium was defined as an acute disturbance in attention and cognition that cannot be better explained by a pre-existing neurocognitive disorder, according to the DSM-V criteria. Screening for delirium was performed by the study team using the validated 4 AT score (18) and confirmed clinically by the team geriatrician. Our outcome measure was the new onset of delirium during hospitalization among study participants who were delirium-free at baseline.

The research team monitored the patients during their inpatient stay for postoperative complications. Post-operative complications included chest infection, surgical site infection, deep vein thrombosis and/or pulmonary embolism, bleeding, renal insufficiency, and pressure ulcers. Electronic medical records and death records were reviewed to identify mortality data for up to 1 year. An increased length of stay (LoS) was defined as a hospital stay of ≥14 days.

Statistical analysis

We reported continuous data as means and standard deviations (SDs) and categorical data as counts with relative frequencies. A chi-squared test was performed to compare categorical variables between the groups. We categorized the CFS scores at baseline into three groups based on clinical relevance and available sample size: <5 (no frailty or vulnerable), 5 (mild frailty), and >5 (moderate, severe, or very severe frailty) (4). We also examined the Clinical Frailty Scale as a continuous variable. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for the association between Clinical Frailty Scale categories and our four outcomes of interest (incident delirium, in-hospital postoperative complications, all-cause mortality, and length of hospital stay ≥14 days), employing log-binomial regression models (19, 20) due to the short and relatively uniform duration of follow-up. We used an age-and sex-adjusted model and a multivariable-adjusted regression model, adjusting for age (years), sex (male, female), diabetes mellitus (yes, no), chronic kidney disease (yes, no), serum hemoglobin levels (mg/dL), polypharmacy (yes, no), and the Charlson Comorbidity Index (score). All analyses were conducted using R version 4.0.2.

Results

Table 1 shows the baseline characteristics of the elderly study population. A total of 155 patients with hip fractures were included in our study, with an average age of 74.6 years (ranging between 60 and 96 years). Of these, 28.4% were aged 60–69 years, 44.5% were 70–79 years, and 27.1% were 80 years or older; 53.5% of the participants were men. At baseline, 69.7% had a clinical diagnosis of diabetes mellitus, 27.1% had chronic kidney disease, and 77.4% were on polypharmacy. The mean serum hemoglobin level was 11.8 mg/dL, and the mean Charlson Comorbidity Index score was 4.6. Regarding the Clinical Frailty Scale score distribution at baseline, 72.2% had a score of <5, 12.3% had a score of 5, and 15.5% had a score of >5.

Table 1
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Table 1. Characteristics of the study population.

Table 1 also shows the four outcomes of interest: incident delirium during hospital stay occurred in 16.8% of the patients; in-hospital postoperative complications occurred in 11.3%; all-cause mortality occurred in 5.8% during the follow-up period of up to 1 year; and the length of hospital stay was ≥14 days in 30% of patients. The length of hospital stay in this study ranged from 3 to 163 days, with a median value of 9 days. The cutoff of ≥14 days to define a prolonged hospital stay was determined by dividing the length of stay variable into tertiles and selecting the highest third as the outcome.

Figure 1 shows the incidence of outcomes of interest by categories of the Clinical Frailty Scale at baseline divided into three groups: <5, 5, and >5. In separate analysis for each outcome, there was a clear pattern of statistically significantly higher incidence of delirium (p < 0.0001), in-hospital postoperative complications (p = 0.003), and all-cause mortality (p = 0.02) with increasing CFS groups. For example, compared to the participants with a Clinical Frailty Scale score < 5 (incidence = 5.4%), the incidence of delirium was almost 4 times higher in those with a Clinical Frailty Scale score of 5 (incidence = 21.1%) and more than 12 times higher in those with a Clinical Frailty Scale score of >5 (incidence = 66.7%). A similar pattern was observed in the analyses of postoperative complications (e.g., incidence of 6.3% vs. 29.2% comparing Clinical Frailty Scale categories <5 vs. >5) and all-cause mortality (incidence of 2.7% vs. 16.7% comparing Clinical Frailty Scale categories <5 vs. >5) as outcomes (see Figure 1).

Figure 1
Bar charts compare elderly hip fracture patients in Qatar across Clinical Frailty Scale categories. Delirium rates are 5.4% (<5), 21.1% (5), 66.7% (>5). Postoperative complications: 6.4% (<5), 16.7% (5), 30.4% (>5). One year mortality: 2.7% (<5), 10.5% (5), 16.7% (>5). Length of stay ≥14 days: 27.7% (<5), 31.6% (5), 37.5% (>5).

Figure 1. Clinical Frailty Scale and adverse outcomes among the older patients with hip fractures in Qatar.

However, as shown in Figure 1, there was no significant association between increasing Clinical Frailty Scale categories and longer hospital stay, which was defined as length of hospital stay ≥14 days (p = 0.62). In a supplementary analysis (data not presented in tables), first, we examined the mean length of stay by the Clinical Frailty Scale categories (<5, 5, and >5); the mean length of stay for these respective categories was 12.1 days, 19.7 days, and 17.9 days, and there was no statistically significant difference (p = 0.1367). Second, when we examined both length of stay (dependent variable) and the Clinical Frailty Scale score (independent variable) as continuous variables in a multivariable linear regression model, the association remained statistically non-significant (beta coefficient for Clinical Frailty Scale = 0.009; p = 0.7).

Tables 25 show the association between baseline Clinical Frailty Scale categories and incident delirium (Table 2), in-hospital postoperative complications (Table 3), all-cause mortality (Table 4), and length of stay ≥14 days (Table 5). For all outcomes, we examined the Clinical Frailty Scale at baseline as a 3-level variable (<5, 5, and >5) and a binary variable defined as the presence of clinical frailty at baseline (<5, ≥5). In the age-and sex-adjusted models and the multivariable-adjusted model, we found that higher baseline Clinical Frailty Scale categories and the binary clinical frailty variable were strongly and positively associated with delirium (Table 2), postoperative complications (Table 3), and all-cause mortality (Table 4). The overall pattern and direction of association for these outcomes were consistent and statistically significant. In contrast, there was no significant association between the baseline Clinical Frailty Scale categories or the binary clinical frailty variable and prolonged hospital stay, defined as length of stay ≥14 days (Table 5).

Table 2
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Table 2. Clinical Frailty Scale categories and incidence of delirium in the older patients with hip fractures.

Table 3
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Table 3. Clinical Frailty Scale categories and incidence of postoperative complications in older patients with hip fractures.

Table 4
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Table 4. Clinical Frailty Scale categories and all-cause mortality up to 1-year follow-up in older patients with hip fractures.

Table 5
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Table 5. Clinical Frailty Scale categories and length of stay ≥ 14 days in the older patients with hip fractures.

In a second supplementary analysis (data not presented in tables) to study the relation between Clinical Frailty Scale categories and age, we performed a cross-tabulation of age categories (<80 years, ≥80 years) by Clinical Frailty Scale groups (<5, 5, >5). There was a statistically significant association between increasing Clinical Frailty Scale categories and older age. The percentage of participants aged ≥80 years was 20.5% among those with a score of <5, 42.1% among those with a score of 5, and 45.8% among those with a score of >5 (p = 0.01).

Discussion

In this prospective cohort study of patients aged 60 years and older with hip fractures from Qatar, the Clinical Frailty Scale score at admission was positively associated with incident delirium, postoperative complications, and all-cause mortality, but it did not show an association with length of stay. Our results contribute to the existing literature on frailty and adverse outcomes by providing one of the few data sets on this topic from the Middle East. Our findings are largely consistent with reports from across the world (3, 11, 12, 2125).

Frailty has been consistently associated with delirium in post-surgical and hip fracture patients in several studies (3, 5). In a systematic review of eight studies (n = 5,541, mean age 77.8), a 2.2-fold increased risk of delirium in persons with frailty was noted (24). Our results showed a similar association between higher Clinical Frailty Scale scores and delirium in patients with hip fractures. Frailty has been shown to be a state of low-grade inflammation, and the concept of “inflammaging” has been proposed (26), with inflammatory biomarkers such as IL-10, soluble TNF-α receptors, and ICAM-1 suggested as frailty markers (27). Neuroinflammation and cerebral metabolic insufficiency are the likely mechanisms underlying the pathophysiology of delirium in the context of frailty (23). Fracture and surgery can trigger an increase in systemic inflammatory mediators (28, 29), which are transported to the brain across the blood–brain barrier and through the transporters in the afferent nerves of the vagus nerve. Increased central inflammatory mediators can cause cerebral dysfunction through the suppression of hippocampal plasticity and neurogenesis, neurotoxicity, and neuronal apoptosis, all of which are implicated in the development of delirium (3032). In addition, metabolic abnormalities such as alterations in the levels of glycolysis products, low serum lipid metabolic phosphatidylinositol, and increased serum neuropeptide galanin levels may predispose individuals with frailty to delirium, and the latter could be a potential biomarker for predicting postoperative delirium (23).

An association between frailty and mortality after surgical procedures has been well established (3, 13, 21, 33). Furthermore, studies have shown an increased risk of both short-term and long-term mortality in older patients with pre-existing frailty presenting with hip fractures (11, 22). Forssten et al. (11), in a Swedish nationwide retrospective study, reported a 4 times higher risk of mortality in patients with frail hip fractures. Narula et al. (25) reported on the predictive value of the Clinical Frailty Scale for mortality outcomes following proximal femur fractures. Alterations in innate and adaptive immunity with increased susceptibility to infections, impaired nutritional status, a heightened inflammatory response, and prolonged sympathetic activation with stressors such as fracture and surgery could be the possible mechanisms leading to multiple organ dysfunction and mortality in frail older adults (3437).

A wealth of evidence suggests an association between frailty and adverse postoperative complications (3, 5, 25). In a study from the US, Kistler et al. (12) reported higher rates of postoperative complications and prolonged length of stay for patients with hip fractures using a modified frailty index. Frailty is hypothesized to be due to dysregulated stress response systems, including immune, endocrine, and energy response systems (38). Traditionally, preoperative risk assessments focused mainly on cardiovascular, anesthesia, and surgical risks; current guidelines recommend including frailty assessment for older individuals (2, 39). While the opportunity exists for prehabilitation to address frailty in elective surgeries, in geriatric patients with hip fractures, the healthcare team should focus on immediate perioperative risk intervention strategies based on orthogeriatric comprehensive care (23) and multi-component care bundles (40) to prevent postoperative delirium and other adverse outcomes.

Studies have shown both positive (13, 41) and negative (42) associations between frailty and length of stay. Vainqueur et al. (42) reported that in a retrospective cohort of 158 patients, frailty did not show a significant association with length of stay. Similarly, frailty did not show a significant association with length of stay in our group of Middle Eastern patients either, possibly because of early discharge to rehabilitation or other local cultural or sociodemographic factors affecting length of stay.

Our study is a confirmatory study in a new setting (i.e., Middle Eastern population) examining the association between frailty and adverse outcomes in patients with hip fractures. In this group of patients aged 60 years and above presenting with hip fractures, 27.9% were assessed to have frailty at admission—12.3% were assessed to be living with mild frailty (CFS of 5) and 15.6% with moderate to severe frailty (CFS 6 and above), based on the Clinical Frailty Scale. This is slightly lower than the prevalence of frailty reported in other studies in patients with hip fractures, which ranged between 41 and 53% (11, 33, 43). This could be attributed to the different frailty assessment tools used and the relatively younger age of our study population, as our cutoff age was 60 years and above. Even so, our data further validate and extend the evidence supporting the importance of frailty screening using the Clinical Frailty Scale in this vulnerable population from the Middle Eastern region.

This study has some limitations. First, we would like to acknowledge that our findings may be prone to a certain degree of selection bias due to the exclusion of certain individuals—specifically, 21.7% of eligible individuals who refused consent—which may have potentially resulted in an overestimation of the findings. Second, the sample size, while reasonable, was underpowered for some outcomes (e.g., only nine deaths), leading to wide confidence intervals, limiting the robustness of the findings—particularly for the mortality analysis (44). However, the overall pattern and positive direction of the association remained consistent even after adjusting for confounders. Furthermore, a similar strong association between frailty and delirium has been reported in other studies (45, 46). Similarly, the lack of a significant association for length of stay—despite a clinically meaningful trend in average length of stay by the Clinical Frailty Scale, could be due to limited statistical power. Therefore, our findings of no associations for length of stay need to be confirmed in larger, well-powered studies from the Middle East. Third, although we adjusted for potential associated factors in the multivariable analysis, the effects of unmeasured confounding factors, such as nutritional status, caregiver support, socioeconomic status, dementia, the American Society of Anesthesiologists (ASA) classification score, time to surgery, and fracture pattern, may have influenced the results. Finally, we did not perform direct comparisons between the Clinical Frailty Scale and other frailty assessment tools, such as the FRAIL scale or frailty phenotype; however, comparing multiple frailty scales was not the primary objective of the current study. An advantage of this study is that our sample is representative of all patients with hip fractures in Qatar, as Hamad Medical Corporation is the major government-funded tertiary care hospital managing orthopedic emergencies nationwide.

In conclusion, frailty as measured by the Clinical Frailty Scale showed a strong positive association with adverse outcomes, including incident delirium during hospitalization, in-hospital postoperative complications, and all-cause mortality, but not with length of hospital stay in a cohort of older patients with hip fractures from Qatar. The Clinical Frailty Scale is a simple and feasible tool that should be incorporated into the preoperative assessment of older adults. Studies with larger sample sizes from the Middle East are needed to confirm and also expand on our findings.

Data availability statement

The datasets presented in this article are not readily available because of patient confidentiality. Further inquiries can be directed to the corresponding authors. Requests to access the datasets should be directed to SS, c3N5YW1hbGFAaGFtYWQucWE=.

Ethics statement

The studies involving humans were approved by the Institutional Review Board at the Hamad Medical Corporation, Qatar (Ref No. IRGC 05-JI-18-297, approved 22-June-2020). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

SS: Writing – original draft. FT: Writing – review & editing. JP: Writing – review & editing. BS: Writing – review & editing. NN: Writing – review & editing. HA: Writing – review & editing, Supervision.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was funded by Hamad Medical Corporation Medical Research Centre Internal Research Grant Cycle Grant# IRGC 05-JI-18-297. The funder had no role or influence in the contents of the manuscript.

Acknowledgments

We would like to acknowledge the support of Mohammad Al Dosari, Director of the Bone and Joint Centre; Amir Abdalla, Consultant Geriatrician; Ahmad Musallam, Pathway Coordinator; Zulfeequer Ottayil, Gopalakrishnan Girish, Mais AlQudah, Santosh Payinkintavida, Aljo Romero, Diana Austria, and Abdul Rasheed Pookkara Valappil, Physiotherapy Specialists; and Jazna Naushad, Maraeh Mancha, and Sarah Abdelazim, Research Assistants, for their contribution to the study.

Conflict of interest

SS, FT, JP, BS, NN, and HA had no commercial conflicts of interest. The 4th author BS declared that he was an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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The authors declare that no Gen AI was used in the creation of this manuscript.

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References

1. Clegg, A, Young, J, Iliffe, S, Rikkert, MO, and Rockwood, K. Frailty in elderly people. Lancet. (2013) 381:752–62. doi: 10.1016/S0140-6736(12)62167-9

PubMed Abstract | Crossref Full Text | Google Scholar

2. Chow, WB, Rosenthal, RA, Merkow, RP, Ko, CY, and Esnaola, NF. Optimal preoperative assessment of the geriatric surgical patient: a best practices guideline from the American College of Surgeons National Surgical Quality Improvement Program and the American Geriatrics Society. J Am Coll Surg. (2012) 215:453–66. doi: 10.1016/j.jamcollsurg.2012.06.017

PubMed Abstract | Crossref Full Text | Google Scholar

3. Aucoin, SD, Hao, M, Sohi, R, Shaw, J, Bentov, I, Walker, D, et al. Accuracy and feasibility of clinically applied frailty instruments before surgery: a systematic review and Meta-analysis. Anesthesiology. (2020) 133:78–95. doi: 10.1097/ALN.0000000000003257

PubMed Abstract | Crossref Full Text | Google Scholar

4. Rockwood, K, Song, X, MacKnight, C, Bergman, H, Hogan, DB, and McDowell, I. A global clinical measure of fitness and frailty in elderly people. Can Med Assoc J. (2005) 173:489–95. doi: 10.1503/cmaj.050051

PubMed Abstract | Crossref Full Text | Google Scholar

5. McIsaac, DI, Grudzinski, AL, and Aucoin, SD. Preoperative frailty assessment: just do it! Can J Anesth/J Can Anesth. (2023) 70:1713–8. doi: 10.1007/s12630-023-02589-x

PubMed Abstract | Crossref Full Text | Google Scholar

6. Eamer, G, Gibson, JA, Gillis, C, Hsu, AT, Krawczyk, M, Mac Donald, E, et al. Surgical frailty assessment: a missed opportunity. BMC Anesthesiol. (2017) 17:99. doi: 10.1186/s12871-017-0390-7

PubMed Abstract | Crossref Full Text | Google Scholar

7. Deiner, S, Fleisher, LA, Leung, JM, Peden, C, Miller, T, and Neuman, MD. Adherence to recommended practices for perioperative anesthesia care for older adults among US anesthesiologists: results from the ASA committee on geriatric anesthesia-perioperative brain health initiative ASA member survey. Perioper Med. (2020) 9:6. doi: 10.1186/s13741-020-0136-9

PubMed Abstract | Crossref Full Text | Google Scholar

8. Cooper, C, Campion, G, and Melton, LJ. Hip fractures in the elderly: a world-wide projection. Osteoporos Int. (1992) 2:285–9. doi: 10.1007/BF01623184

PubMed Abstract | Crossref Full Text | Google Scholar

9. Gullberg, B, Johnell, O, and Kanis, JA. World-wide projections for hip fracture. Osteoporos Int. (1997) 7:407–13. doi: 10.1007/PL00004148

PubMed Abstract | Crossref Full Text | Google Scholar

10. Alsaed, OS, Abdulla, N, Lutf, A, Abdulmomen, I, Alam, F, and Alemadi, SAR. Incidence rate of osteoporotic hip fracture in Qatar. Arch Osteoporos. (2021) 16:150. doi: 10.1007/s11657-021-01010-8

PubMed Abstract | Crossref Full Text | Google Scholar

11. Forssten, MP, Mohammad Ismail, A, Ioannidis, I, Wretenberg, P, Borg, T, Cao, Y, et al. The mortality burden of frailty in hip fracture patients: a nationwide retrospective study of cause-specific mortality. Eur J Trauma Emerg Surg. (2023) 49:1467–75. doi: 10.1007/s00068-022-02204-6

PubMed Abstract | Crossref Full Text | Google Scholar

12. Kistler, EA, Nicholas, JA, Kates, SL, and Friedman, SM. Frailty and short-term outcomes in patients with hip fracture. Geriatr Orthop Surg Rehabil. (2015) 6:209–14. doi: 10.1177/2151458515591170

PubMed Abstract | Crossref Full Text | Google Scholar

13. Zhang, HT, Tan, N, Gao, Y, She, KY, Luo, Q, Yao, K r, et al. Prediction of postoperative mortality in older surgical patients by clinical frailty scale: a systematic review and meta-analysis. Geriatr Nurs. (2024) 59:581–9. doi: 10.1016/j.gerinurse.2024.08.013

PubMed Abstract | Crossref Full Text | Google Scholar

14. Snitkjær, C, Rehné Jensen, L, í Soylu, L, Hauge, C, Kvist, M, Jensen, TK, et al. Impact of clinical frailty on surgical and non-surgical complications after major emergency abdominal surgery. BJS Open. (2024) 8:39. doi: 10.1093/bjsopen/zrae039

PubMed Abstract | Crossref Full Text | Google Scholar

15. Alqahtani, BA, Alshehri, MM, Elnaggar, RK, Alsaad, SM, Alsayer, AA, Almadani, N, et al. Prevalence of frailty in the Middle East: systematic review and meta-analysis. Healthcare. (2022) 10:108. doi: 10.3390/healthcare10010108

PubMed Abstract | Crossref Full Text | Google Scholar

16. Charlson, ME, Pompei, P, Ales, KL, and Mac Kenzie, CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. (1987) 40:373–83. doi: 10.1016/0021-9681(87)90171-8

PubMed Abstract | Crossref Full Text | Google Scholar

17. Masnoon, N, Shakib, S, Kalisch-Ellett, L, and Caughey, GE. What is polypharmacy? A systematic review of definitions. BMC Geriatr. (2017) 17:230. doi: 10.1186/s12877-017-0621-2

PubMed Abstract | Crossref Full Text | Google Scholar

18. Bellelli, G, Morandi, A, Davis, DHJ, Mazzola, P, Turco, R, Gentile, S, et al. Validation of the 4AT, a new instrument for rapid delirium screening: a study in 234 hospitalised older people. Age Ageing. (2014) 43:496–502. doi: 10.1093/ageing/afu021

PubMed Abstract | Crossref Full Text | Google Scholar

19. Wacholder, S. Binomial regression in GLIM: estimating risk ratios and risk differences. Am J Epidemiol. (1986) 123:174–84. doi: 10.1093/oxfordjournals.aje.a114212

PubMed Abstract | Crossref Full Text | Google Scholar

20. Spiegelman, D. Easy SAS calculations for risk or prevalence ratios and differences. Am J Epidemiol. (2005) 162:199–200. doi: 10.1093/aje/kwi188

PubMed Abstract | Crossref Full Text | Google Scholar

21. Song, Y, Wu, Z, Huo, H, and Zhao, P. The impact of frailty on adverse outcomes in geriatric hip fracture patients: a systematic review and meta-analysis. Front Public Health. (2022) 10:890652. doi: 10.3389/fpubh.2022.890652

Crossref Full Text | Google Scholar

22. Velanovich, V, Antoine, H, Swartz, A, Peters, D, and Rubinfeld, I. Accumulating deficits model of frailty and postoperative mortality and morbidity: its application to a national database. J Surg Res. (2013) 183:104–10. doi: 10.1016/j.jss.2013.01.021

PubMed Abstract | Crossref Full Text | Google Scholar

23. Chen, Y, Liang, S, Wu, H, Deng, S, Wang, F, Lunzhu, C, et al. Postoperative delirium in geriatric patients with hip fractures. Front Aging Neurosci. (2022) 14:1068278. doi: 10.3389/fnagi.2022.1068278

PubMed Abstract | Crossref Full Text | Google Scholar

24. Persico, I, Cesari, M, Morandi, A, Haas, J, Mazzola, P, Zambon, A, et al. Frailty and delirium in older adults: a systematic review and Meta-analysis of the literature. J Am Geriatr Soc. (2018) 66:2022–30. doi: 10.1111/jgs.15503

PubMed Abstract | Crossref Full Text | Google Scholar

25. Narula, S, Lawless, A, D’Alessandro, P, Jones, CW, Yates, P, and Seymour, H. Clinical frailty scale is a good predictor of mortality after proximal femur fracture. Bone Jt Open. (2020) 1:443–9. doi: 10.1302/2633-1462.18.BJO-2020-0089.R1

PubMed Abstract | Crossref Full Text | Google Scholar

26. Franceschi, C, Bonafè, M, Valensin, S, Olivieri, F, De Luca, M, Ottaviani, E, et al. Inflamm-aging. An evolutionary perspective on immunosenescence. Ann N Y Acad Sci. (2000) 908:244–54. doi: 10.1111/j.1749-6632.2000.tb06651.x

PubMed Abstract | Crossref Full Text | Google Scholar

27. Zhang, L, Zeng, X, He, F, and Huang, X. Inflammatory biomarkers of frailty: a review. Exp Gerontol. (2023) 179:112253. doi: 10.1016/j.exger.2023.112253

PubMed Abstract | Crossref Full Text | Google Scholar

28. Neerland, BE, Hall, RJ, Seljeflot, I, Frihagen, F, Mac Lullich, AMJ, Ræder, J, et al. Associations between delirium and preoperative cerebrospinal fluid C-reactive protein, interleukin-6, and interleukin-6 receptor in individuals with acute hip fracture. J Am Geriatr Soc. (2016) 64:1456–63. doi: 10.1111/jgs.14238

PubMed Abstract | Crossref Full Text | Google Scholar

29. Cape, E, Hall, RJ, van Munster, BC, de Vries, A, Howie, SE, Pearson, A, et al. Cerebrospinal fluid markers of neuroinflammation in delirium: a role for interleukin-1β in delirium after hip fracture. J Psychosom Res. (2014) 77:219–25. doi: 10.1016/j.jpsychores.2014.06.014

PubMed Abstract | Crossref Full Text | Google Scholar

30. Prieto, GA, Tong, L, Smith, ED, and Cotman, CW. TNFα and IL-1β but not IL-18 suppresses hippocampal long-term potentiation directly at the synapse. Neurochem Res. (2019) 44:49–60. doi: 10.1007/s11064-018-2517-8

PubMed Abstract | Crossref Full Text | Google Scholar

31. Tian, Y, Chen, K, Liu, L, Dong, Y, Zhao, P, and Guo, S. Sevoflurane exacerbates cognitive impairment induced by a β 1–40 in rats through initiating neurotoxicity, Neuroinflammation, and neuronal apoptosis in rat Hippocampus. Mediat Inflamm. (2018) 20:1–10. doi: 10.1155/2018/3802324

PubMed Abstract | Crossref Full Text | Google Scholar

32. Ekdahl, CT, Claasen, JH, Bonde, S, Kokaia, Z, and Lindvall, O. Inflammation is detrimental for neurogenesis in adult brain. Proc Natl Acad Sci. (2003) 100:13632–7. doi: 10.1073/pnas.2234031100

PubMed Abstract | Crossref Full Text | Google Scholar

33. Xi, S, Wu, Z, Cui, J, Yin, S, Xi, S, and Liu, C. Association between frailty, as measured by the FRAIL scale, and 1-year mortality in older patients undergoing hip fracture surgery. BMC Geriatr. (2025) 25:65. doi: 10.1186/s12877-025-05716-z

PubMed Abstract | Crossref Full Text | Google Scholar

34. Yao, X, Li, H, and Leng, SX. Inflammation and immune system alterations in frailty. Clin Geriatr Med. (2011) 27:79–87. doi: 10.1016/j.cger.2010.08.002

PubMed Abstract | Crossref Full Text | Google Scholar

35. Desborough, JP. The stress response to trauma and surgery. Br J Anaesth. (2000) 85:109–17. doi: 10.1093/bja/85.1.109

PubMed Abstract | Crossref Full Text | Google Scholar

36. Dąbrowska, AM, and Słotwiński, R. The immune response to surgery and infection. Central Eur J Immunol. (2014) 4:532–7. doi: 10.5114/ceji.2014.47741

PubMed Abstract | Crossref Full Text | Google Scholar

37. Wei, K, Nyunt, MSZ, Gao, Q, Wee, SL, and Ng, TP. Frailty and malnutrition: related and distinct syndrome prevalence and association among community-dwelling older adults: Singapore longitudinal ageing studies. J Am Med Dir Assoc. (2017) 18:1019–28. doi: 10.1016/j.jamda.2017.06.017

PubMed Abstract | Crossref Full Text | Google Scholar

38. Walston, J, Hadley, EC, Ferrucci, L, Guralnik, JM, Newman, AB, Studenski, SA, et al. Research agenda for frailty in older adults: toward a better understanding of physiology and etiology: summary from the American Geriatrics Society/National Institute on Aging research conference on frailty in older adults. J Am Geriatr Soc. (2006) 54:991–1001. doi: 10.1111/j.1532-5415.2006.00745.x

PubMed Abstract | Crossref Full Text | Google Scholar

39. Halvorsen, S, Mehilli, J, Cassese, S, Hall, TS, Abdelhamid, M, Barbato, E, et al. 2022 ESC guidelines on cardiovascular assessment and management of patients undergoing non-cardiac surgery. Eur Heart J. (2022) 43:3826–924. doi: 10.1093/eurheartj/ehac270

PubMed Abstract | Crossref Full Text | Google Scholar

40. Lam, DMH, Wang, C, Lee, AKH, Chung, YF, Lau, TW, Fang, C, et al. Multi-component care bundle in geriatric fracture hip for reducing post-operative delirium. Geriatr Orthop Surg Rehabil. (2021) 12:21514593211004530. doi: 10.1177/21514593211004530

PubMed Abstract | Crossref Full Text | Google Scholar

41. Wong, BLL, Chan, YH, O’Neill, GK, Murphy, D, and Merchant, RA. Frailty, length of stay and cost in hip fracture patients. Osteoporos Int. (2023) 34:59–68. doi: 10.1007/s00198-022-06553-1

PubMed Abstract | Crossref Full Text | Google Scholar

42. Vainqueur, L, Simo-Tabue, N, Villeneuve, R, Dagonia, D, Bhakkan-Mambir, B, Mounsamy, L, et al. Frailty index, mortality, and length of stay in a geriatric short-stay unit in Guadeloupe. Front Med. (2022) 9:687. doi: 10.3389/fmed.2022.963687

PubMed Abstract | Crossref Full Text | Google Scholar

43. van de Ree, CLP, Landers, MJF, Kruithof, N, de Munter, L, Slaets, JPJ, Gosens, T, et al. Effect of frailty on quality of life in elderly patients after hip fracture: a longitudinal study. BMJ Open. (2019) 9:e025941. doi: 10.1136/bmjopen-2018-025941

PubMed Abstract | Crossref Full Text | Google Scholar

44. Zhang, Z, Xu, X, and Ni, H. Small studies may overestimate the effect sizes in critical care meta-analyses: a meta-epidemiological study. Crit Care. (2013) 17:R2. doi: 10.1186/cc11919

PubMed Abstract | Crossref Full Text | Google Scholar

45. Zhang, XM, Jiao, J, Xie, XH, and Wu, XJ. The association between frailty and delirium among hospitalized patients: an updated Meta-analysis. J Am Med Dir Assoc. (2021) 22:527–34. doi: 10.1016/j.jamda.2021.01.065

PubMed Abstract | Crossref Full Text | Google Scholar

46. Sillner, AY, McConeghy, RO, Madrigal, C, Culley, DJ, Arora, RC, and Rudolph, JL. The association of a frailty index and incident delirium in older hospitalized patients: an observational cohort study. Clin Interv Aging. (2020) 15:2053–61. doi: 10.2147/CIA.S249284

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: frailty, Clinical Frailty Scale, delirium, mortality, Qatar, Middle East, hip fracture, length of stay

Citation: Syamala S, Tarazona Santabalbina FJ, Passarelli JL, Sathian B, Nadukkandiyil N and Al Hamad H (2025) The Clinical Frailty Scale and incidence of adverse outcomes in older patients with hip fractures in Qatar. Front. Med. 12:1643181. doi: 10.3389/fmed.2025.1643181

Received: 08 June 2025; Accepted: 09 July 2025;
Published: 29 July 2025.

Edited by:

Sawsan A. Zaitone, University of Tabuk, Saudi Arabia

Reviewed by:

Dina Khodeer, Suez Canal University, Egypt
Suguru Yokoo, Fukuyama City Hospital, Japan

Copyright © 2025 Syamala, Tarazona Santabalbina, Passarelli, Sathian, Nadukkandiyil and Al Hamad. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shirmila Syamala, c3N5YW1hbGFAaGFtYWQucWE=

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