Functional Status Geriatric Scores: Single-Handed Tools for 30-Day Mortality Risk After Hip Fracture
Received 18 January 2021
Accepted for publication 2 March 2021
Published 28 April 2021 Volume 2021:16 Pages 721—729
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Professor Nandu Goswami
Carmen da Casa,1 Carmen Pablos-Hernández,1,2 Alfonso González-Ramírez,1,2 Juan F Blanco1,3
1Instituto de investigación biomédica de Salamanca (IBSAL), Salamanca, Spain; 2Othogeriatric Unit, Hospital Universitario de Salamanca, Salamanca, Spain; 3Trauma and Orthopedic Surgery Department, Hospital Universitario de Salamanca, Salamanca, Spain
Correspondence: Juan F Blanco
Trauma and Orthopedic Surgery Department, Hospital Universitario de Salamanca, Paseo San Vicente, 58-182, Salamanca, 37007, Spain
Tel +34 923291100 ext. 55390
Email [email protected]
Background: The 30-day mortality rate after hip fracture surgery has been considered as an indirect indicator of the quality of care. This work aims to appraise the Barthel Index, Katz Index, Lawton-Brody Index, and Physical Red Cross Scale registered in the Comprehensive Geriatric Assessment at admission on the of 30-day death probability after hip fracture surgery.
Methods: Prospective study including 899 hip fracture patients over 65. Bed-ridden, non-surgically treated patients, and high energy trauma or tumoral etiology fractures were excluded. Variables distribution were assessed by χ2, U-Mann Whitney and we performed binary logistic regression and equal tailed Jeffreys 95% CI for risk assessment. P< 0.05 was considered statistically significant.
Results: We noted a 30-day mortality rate of 5.9%. We related Barthel Index (OR=0.986 [0.975– 0.996], p=0.010), Katz Index (OR=1.254 [1.089– 1.444], p=0.002), Lawton-Brody Index (OR=0.885 [0.788– 0.992], p=0.037), and Physical Red Cross Scale (OR=1.483 [1.094– 2.011], p=0.011) with the 30-day mortality of patients after hip fracture surgery. We also validated the Barthel Index inflection point (0– 55) (ORBI(0– 55)=2.428 [1.379– 4.275], p=0.002) and Katz Index inflection point (A-B) (ORKI(A-B)=0.493 [0.273– 0.891], p=0.019) for the assessment of the highest risked patients.
Conclusion: The geriatric functional status scores would be useful multifunctional and standalone tools in the assessment of hip fracture patients as singly predictors of 30-day mortality.
Keywords: comprehensive geriatric assessment, hip fracture, mortality, geriatric scores
One of the most interesting topics in older hip fracture management is to identify indicators to foresee the patients’ outcome. These indicators would allow clinicians to establish preventive measures and allocate resources for those patients with a higher risk of mortality.
Older hip fracture patients’ treatment requires a multidisciplinary approach carried out in the so-called Orthogeriatric Units. The Comprehensive Geriatric Assessment (CGA) is a key tool throughout the admission process, that reports on the patient’s functional status and has been related to the hip fracture outcome.1 The CGA includes, among other clinical, nutritional, and social assessments, the evaluation of some geriatric functional status scores and geriatric syndromes.2,3 Barthel Index (BI), Katz Index (KI), and Lawton-Brody Index (LBI) functional status scores are broadly used in a standardized way as part of the CGA. The Physical Red Cross Scale (PCRS) is also a mobility score widely used in Spain.
These geriatric scores, along with the clinical information, elucidate the functional situation of the patient. The deeper insight would contribute for the in-hospital monitoring and later follow-up.
Diverse tools lay out to predict the outcome of hip fracture patients’ surgically treated, such as the NHFS (Nottingham Hip Fracture Score), AHFS (Almelo Hip Fracture Score), or O-Possum.4,5 However, the variability along the world population and health-care models, could compromise its application due to the availability of certain resources. Some geriatric scores have been also previously pointed as predictors of in-hospital mortality for patients undergoing surgery.6 Our working group demonstrated the usefulness of geriatric scores as predictors of long-term mortality risk in a shorter cohort,7 by establishing geriatric score inflection points from which the risk of long-term survival was significantly decreased.
The aim of this work is to appraise the influence of baseline BI, KI, LBI, and PRCS on the 30-day mortality risk of older hip fracture patients. We also aim to evaluate the possible usefulness of the geriatric scores inflection points previously defined on BI, KI, and LBI on the 30-day mortality rate in older hip fracture patients.
Design and Population
We designed a prospective observational study, including all hip fracture patients aged 65 and older admitted from January 1, 2018 to December 31, 2019 to the Orthogeriatric Unit of the University Hospital of Salamanca (UHS). All patients included in the study expressed their consent to participate by signed consent. Bed-ridden patients (PRCS=5), high energy trauma or tumoral etiology fractures and those cases that were not surgically treated were excluded.
Overall, a complete CGA was performed in 919 patients during the study period. We follow-up patients for 30-day mortality, asserting an attrition rate of 2.2%. A total of 899 patients were included in the study.
Demographic and Clinical Variables
Sociodemographic variables such as gender, date of birth and admission, and place of residence were collected upon admission. We also recorded the type of fracture, the type of surgical procedure, and destination at discharge.
At the UHS Orthogeriatric Unit, the following geriatric scores are used as part of CGA: Barthel Index, Katz Index, Lawton-Brody Index, and Physical Red Cross Scale.
The BI8 collects data on the degree of capability for the development of 10 basic activities of daily living (ADL). For each activity analyzed, a gradual score is applied in 5 points, according to the patient’s ability to perform it. BI punctuations go from 0 to 100. On BI, the higher score relate the better functional status.
The KI9 estimates the independence of the patient to perform basic ADL. It analyses 6 functions from which categorization of patients originates possible situations ranging from the total independence, named with the letter A, to the total dependence, indicated with the letter G.
The LBI10 evaluates instrumental activities of daily living (IADL). The LBI assigns a score from 0 to 8; the highest score indicates the best functional capability. Due to the characteristics of the IADL analyzed, LBI has been traditionally applied differentiating the gender of the patient and limiting to 4 the maximum score for men.11 At UHS, the whole questionnaire was determined regardless of patient gender.
For these three geriatric scores, we have previously described an inflection point from which the survival rate of patients after hip fracture surgery would be significantly abridged.7
The Physical Red Cross Scale12 evaluates the physical ambulatory ability of the patient, similarly to the Functional Ambulation Classification (FAC). The physical-status evaluation of PRCS is concerning 5 levels of ambulatory ability from 0, which indicates full capability, to 5, which indicates no ambulatory capability. This score was also used as an exclusion variable in our study for bed-ridden patients (PCRS=5).
Data were imported into a database for statistical analysis with the IBM® SPSS® Statistics program (v.26). Descriptive statistics included mean, standard deviation, and median and interquartile range. Sample distribution was addressed by Kolmogorov-Smirnoff test with Lilliefors correction and Q-Q plots. We ascertain the statistically significant differences among groups by χ2 and U-Mann–Whitney tests. Confidence intervals for reported probabilities were calculated by equal tailed Jeffreys prior intervals. The Odds Ratios (OR) were estimated by binary logistic regression. In all cases, a p-value of less than 0.05 was considered statistically significant.
The study population was composed of 899 hip fracture patients over 65. One in four patients were men (26.7%) and the mean age was 86.3 years old.
Non-rural patients represented 51.6% of participants (residents from municipalities with more than 12,500 inhabitants), and 32.0% of participants came from a nursing home. A total of 472 patients were institutionalized at a nursing home after hospital discharge – 32.8% of non-institutionalized patients at admission were institutionalized at discharge –. A social worker was involved in 17.6% of cases. Incidence by type of hip fracture was also studied, showing that most cases it was a trochanteric fracture, whose surgical intervention treatment was osteosynthesis-based. Table 1 shows the distributions of the detailed biodemographic and fracture-related features of patients according to their 30-day survival or dead status.
Table 1 Biodemographic and Fracture-Related Features of Patients
The mean time to surgery (TTS) was 2.94±2.55 days, noting 34.1% of patients operated within the first 48h, and 17.7% of patients operated within the first 24h. We noted a 30-day mortality rate of 5.9%.
Regarding the patients’ functional status measured by the BI, KI, LBI, and PCRS geriatric scores, Figure 1 shows the population distribution along the geriatric scores categories on shadow area charts, and the30-day death probability with 95% confidence intervals. The complete death probability values addressed are available on Supplementary Table 1.
The mean punctuation in BI of our population was 72.8±23.4. We noted significant decreasing BI on aging groups (p<0.001), and lower BI punctuation on women (p=0.013) and institutionalized patients at admission (p<0.001). However, no differences on BI were achieved for new institutionalized patients at discharge (p>0.05), neither regarding the waiting time to surgery of patients (TTS<24h, p>0.05; TTS<48h, p>0.05).
BI was significantly related to 30-day mortality (OR per point=0.986 [0.975–0.996], p=0.010), despite the gender or age of patients (Supplementary Table 2) The distributions of BI punctuation regarding the 30-day mortality status of patients are shown in Table 2 and represented in Figure 2A.
Table 2 Barthel Index and Katz Index Distribution Along the Study Population
Figure 2 Bar chart of the survival and early mortality population for Barthel Index (A), Katz Index (B), Lawton-Brody Index (C), and Physical Red Cross Scale (D).
The cut-off for the inflection point previously determined for BI (BIIP) was set at 60 points, grouping patients presenting moderate and severe dependence (BI 0–55) and patients showing slight dependence or total independence (BI 60–100). Analyzing the study population by the distribution of BIIP, we observed no differences regarding the gender of patients, new institutionalized patients at discharge or time to surgery (p>0.05, in all cases), but we did with institutionalized patients at admission (p<0.001) and the more aging patients (p<0.001). We noted a significantly increased risk for early mortality at this point, noting that moderate or severe dependent patients had double increased risk (ORBI(0–55)=2.428 [1.379–4.275], p=0.002).
The most frequent category of KI in our population was A (31.9%). We noted significant decreasing KI on aging groups (p<0.001) and on institutionalized patients at admission (p<0.001), but no differences in KI were achieved regarding new institutionalized patients at discharge, the gender of patients, or the early surgery rates (TTS<24h/48h, p>0.05, in all cases).
KI was significantly related to 30-day mortality (OR per point=1.254 [1.089–1.444], p=0.002), despite the gender or age of patients (Supplementary Table 2). The distributions of KI punctuation regarding the 30-day mortality status of patients are shown in Table 2 and represented in Figure 2B.
The inflection point previously determined for KI (KIIP) was set at B category, grouping patients displaying high independence (KI A-B) and patients showing any dependency (KI C-G). Analyzing the study population by the distribution of KIIP, we observe no differences regarding the gender of patients or new institutionalized patients at discharge (p>0.05), but we noted a lower independent patient (KI A-B) rate on the institutionalized population at admission (p<0.001) and aging patients (p<0.001). We noted a greater proportion of independent patients operated within the first 48h (p=0.018). We noted a significantly decreased risk for early mortality at this point (ORKI(A-B)=0.493 [0.273–0.891], p=0.019).
The mean punctuation in the LBI of our population was 3.07±2.74. We noted significant increasing LBI punctuations on men, on aging groups, and institutionalized patients at admission (p<0.001, in all cases), but no differences on LBI were achieved regarding new institutionalized patients at discharge or the early surgery rates (<24h/48h, p>0.05 in all cases).
We showed that LBI distribution was similar in survival and early mortality groups (p>0.05), but the single LBI punctuation was significantly related to 30-day mortality (OR per point=0.885 [0.788–0.992], p=0.037). On the multivariate analysis, we ratify this tendency, but age and gender of patients were adjusting the statistical significance (Supplementary Table 2). Table 3 shows the distributions of LBI punctuation regarding the patients’ 30-day mortality status, represented in Figure 2C.
Table 3 Lawton-Brody Index and Physical Red Cross Scale Distribution Along the Study Population
The inflection point previously determined for LBI (LBIIP) was set at 4, distinguishing patients who scored 3 or less and patients who scored 4 or more. Analyzing the study population by the distribution of LBIIP, we observe differences regarding the gender of patients (p=0.006), aging patients (p<0.001), and the institutionalized population at admission (p<0.001), but no for new institutionalized patients at discharge (p>0.05). We noted a greater proportion of patients scored 4–8 operated within the first 48h (p=0.004). We noted a tendency for early mortality at this point, but no statistical significance was achieved (ORLBI(0–3)=1.801 [0.932–3.480], p=0.080).
Physical Red Cross Scale
The mean punctuation in PRCS of our population was 2.0±0.9. We noted significant increasing PRCS on aging groups (p<0.001) and on institutionalized patients at admission (p<0.001), but no differences in PRCS were achieved regarding the gender of patients, among hospital-derived institutionalized patients or time to surgery (p>0.05, in all cases).
Table 3 shows the distributions of PRCS punctuation regarding the 30-day mortality of patients. We showed that PCRS distribution was similar in survival and early mortality groups (Figure 2D, p>0.05), but the single PRCS punctuation was significantly related to an increased 30-day mortality rate (Figure 1D, OR per point=1.483 [1.094–2.011], p=0.011), despite the gender or age of patients (Supplementary Table 2).
Our study proposes the use of BI, KI, LBI, and PCRS geriatric scores as standalone indicators of 30-day death probability after hip fracture surgery, validating the established inflection points as key factors for hip fracture patients’ management. It all allows us to obtain more detailed knowledge about the prognosis of these patients.
Hip fracture in older patients is indeed a highly demanding health problem. Nowadays, the management of older hip fracture patients has significantly improved thanks to the implementation of the Orthogeriatric Units.13–15 It leaded into the CGA which grants a better understanding of the functional and clinical situation of each patient and enables the application of the appropriate therapeutic measures to each case.1,2 The functional status geriatric scores applied in the CGA are very useful tools in the assessment of patients admitted to Orthogeriatric Units.6,16 The unveiling of the functional status of patients facilitates, inter alia, the comparison of patient’s management and care results.
The 30-day mortality may be an indirect indicator of the quality of care and assistance provided to older hip fracture patients.17,18 Several studies are trying to find out the risk factors related to a worse outcome. The recognition of these risk factors would ensure the availability of health care resources for the patients who need them most. Examples of risk factors related to early mortality include non-modifiable factors like age,19 gender,20 comorbidity,21 or even modifiable factors like the waiting time to surgery.22,23 Further, different multifactorial models have been proposed for the prediction of 30-day mortality, although due to the complexity of older hip fracture patients, it is very challenging to establish a perfect predictive model.5 It would be very useful to have a single multifunctional tool that, in addition to report on the functional status of patients, would allow to advance the prognosis of patients in the short term.
Patient’s functional status has been weakly related to the 30-day hip fracture mortality,24 although other studies have shown a relationship with in-hospital mortality1,6 and long-term mortality.7,25–27 The patients’ functional status is usually evaluated through the application of geriatric scores that show the ability of patients for personal development in daily life, noting the ADL, IADL, or mobility.
We have analyzed the influence of functional status measured through four functional status geriatric scores (BI, KI, LBI, and PRCS) on early mortality. To our knowledge, it is the first time that statistically significant relationships of these four geriatric scores with 30-day mortality is described in detail. The four scores analyzed show good individual discrimination.
We showed significant correlations of each geriatric score analyzed with 30-day mortality, noting that the better the functional status, the better the prognosis. This relationship was expected, although it had never been quantified as it is now. Despite this, no statistically significant association of the geriatric scores analyzed with newly institutionalized patients at discharge emerged. These results point to the use of BI, KI, LBI, and PCRS as individual factors influencing the 30-day death probability of older hip fracture patients. We shall not forget the asymmetrical distribution of BI, KI, LBI, and PRCS scores concerning the oldest patients and patients who were institutionalized at admission. Institutionalized and aged patients might be the frailest patients, whose functional status would commit the 30-day death probability.
Since the punctuation of each geriatric score analyzed is continuous data, in order to facilitate clinical and scientific use, we suggest the use of the inflection points of the geriatric scores to recognize which patients with diverse functional characteristics can benefit from the various levels of care provided. So, we could quantify the increasing risk of early dying regarding the ability to perform ADL before the hip fracture. The BIIP (0–55), or otherwise, the KIIP (A-B), showed the best discriminatory ability to predict the 30-day mortality after hip fracture surgery. These results agree with the previous inflection points validation on BI and KI for long-term mortality of hip fracture patients.7
Likewise, our study presents some limitations: firstly, the common provenance of the studied population, as it is a single-center study; secondly, the limited use of PRCS, which represents a mobility index that is widely used in Spain but not internationally; lastly, we lack other geriatric tools not applied in our center, as part of a CGA addressed in other studies (like geriatric comorbidity index).
The geriatric scores analyzed (BI, KI, LBI and PCRS) are single-handedly related in a statistically significant way to the 30-day mortality after hip fracture surgery. We show key inflection points for BI and KI on ADL that individually could assess the raising 30-day mortality risk after hip fracture surgery.
In our belief, the four geriatric scores here presented, in addition to inform about the functional status of patients, could provide risk assessment for the 30-day mortality of hip fracture patients.
ADL, Activities of daily living; BI, Barthel index; CI, Confidence interval; CGA, Comprehensive geriatric assessment; FAC, Functional Ambulation Classification; IADL, Instrumental activities of daily living; IP, Inflection point; KI, Katz index; LBI, Lawton-Brody index; OR, Odds ratio; PCRS, Physical Red Cross Scale; UHS, University Hospital of Salamanca.
Data Sharing Statement
The data supporting this study are available from the corresponding author upon reasonable request.
Ethics Approval and Consent to Participate
All participants (or their relatives) have given their written informed consent to participate. The whole study was conducted following the Declaration of Helsinki and was previously approved by the ethics committee for clinical research (CEIm) of the University Hospital of Salamanca.
Consent for Publication
All authors made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; took part in drafting the article or revising it critically for important intellectual content; agreed to submit to the current journal; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.
No specific funding for this study and its publication was obtained.
The authors have no conflicts of interest to declare for this work.
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