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FRAILTY AND PERSISTENT PAIN IN ONCOLOGICAL PATIENTS UNDERGOING REHABILITATION

 

S. Crosignani1, L. Orlandini2, S. Baruffi3, M. Froldi3,4, M. Cesari2,4

 

1. Fellowship in Geriatrics and Gerontology, University of Milan, Milan, Italy; 2. IRCCS Istituti Clinici Scientifici Maugeri, University of Milan, Milan, Italy; 3. ASP IMMeS Pio Albergo Trivulzio, Milan, Italy; 4. Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy

Corresponding Author: S. Crosignani, Fellowship in Geriatrics and Gerontology, University of Milan, Milan, Italy, silvia.crosignani@unimi.it

J Frailty Aging 2022;in press
Published online March 24, 2022, http://dx.doi.org/10.14283/jfa.2022.26

 


Abstract

Objectives: Pain is one of the most common symptoms among oncological patients and has a strong negative impact on quality of life. The aim of this study is to assess if frailty and polypharmacy are associated with persistent pain in oncological patients undergoing rehabilitation.
Design: Observational, prospective, longitudinal study.
Setting and Participants: Data are from oncological patients admitted to the Oncological Rehabilitation Unit. Methods: Presence of pain, its intensity and characteristics were evaluated at the admission and after 7 days. A Frailty Index (FI) was computed from Comprehensive Geriatric Assessment (CGA) data.
Results: Among the 45 consecutively recruited patients (mean age 72 years, woman 44%), pain was present in 20 (44%) patients at the admission and 9 (20%) after 7 days of stay. Forty-one patients (92%) were taking more than 5 drugs at the admission (mean 9 drugs). The FI was normally distributed and descriptive statistics define our population as frail (mean 0.44; range 0.23-0.64). The FI was significantly associated with the presence of pain (OR 2.66; 95%CI 1.13-6.27, p=0.03) and its intensity after 7 days from the admission (β 4.24 95% CI 1.28 – 7.19, p=0.006), even after adjustment for potential confounders.
Conclusions and Implications: Investigating frailty in cancer patients to implement multidisciplinary strategies could play an important role in improving persistent pain.

Key words: Cancer, analgesic drugs, frailty index.


 

Introduction

Pain represents one of the most common symptoms in older cancer patients and has a negative impact on quality of life (1, 2). Although there is a great deal of attention worldwide on the assessment and therapies for cancer-related pain, it is, unfortunately, a common experience that pain is often poorly controlled by the therapy in place, in patients with solid or hematological malignancies (3). Given its complex and multifactorial nature, neoplastic pain is particularly difficult to treat and represents a challenge for the clinician (4).
Frailty (i.e., a condition determined by reduced physiological reserves exposing the individual to the risk of homeostatic disruption) and polypharmacy are also highly prevalent conditions in older cancer patients (5). Among the multiple tools available for frailty assessment, the Frailty Index (FI), proposed by Rockwood and colleagues (6) is one of the most widely used. This model, based on the assumption that health deficits tend to increase with age, provides a global score of the biological status of the individual.
The association between frailty, polypharmacy and negative health related outcomes is well established in the literature across settings and populations (7). However, the impact of both these conditions on pain management is still unclear. The aim of this study is to explore whether frailty, assessed using the FI, and polypharmacy are associated with persistent pain in oncological patients undergoing rehabilitation after a hospitalization.

 

Methods

Study population

Data are from a prospective study conducted at the Oncological Rehabilitation Unit. All patients were admitted after an acute hospitalization to undergo an in-patient rehabilitation program. The rehabilitation program was modeled upon the results of a baseline Comprehensive Geriatric Assessment (CGA) (8). CGA was conducted on admission by a multidisciplinary team (composed by a geriatrician, an oncologist, a rehabilitation doctor, a nurse, and a physiotherapist). Other professional figures (i.e., dietician, speech therapist, psychologist, social worker) were also available on demand.
Patients were considered eligible if they had a diagnosis of active oncological disease on admission. We excluded from the study patients who refused/did not complete the baseline CGA and patients who missed the pain assessment on day 7 from admission.
No ethical approval was required for this study according to national law number 196, 2003 and regional law of Lombardy region number 3, 2012. Because the study was conducted as part of standard care activities, no formal written informed consent was administered. However, all participants and their proxies were informed by the study investigators about the ongoing research activity and left free to accept or refuse their participation.

Dependent variable of interest

Presence of pain, type (i.e., somatic, neuropathic), localization and intensity of pain were assessed at baseline and after 7 days from admission. Pain intensity was assessed by the Numeric Rating Scale (NRS)-self-reported by patients. The Numeric Rating Scale (NRS) rates pain intensity from 0 (‘no pain’) to 10 (‘worst possible pain’) (9). Persistent pain was defined as presence of pain after 7 days from admission, despite modulation of analgesic therapy.

Independent variables of interest

The FI was computed from CGA data, according to the standardization criteria described by Searle et al. (10). A total of 35 deficits, including signs, symptoms, diseases and disabilities were selected (Table 1 supplementary material). Each item was assigned a score equal to ‘0’ (absence of the deficit or ‘0.5’ (medium deficit) or ‘1’ (presence of the deficit). The FI was finally calculated for each patient as the ratio between the number of the deficits that the patient presented divided by the total number of the deficits considered for its computation.
The total number of drugs prescribed on admission for each patient was recorded. Polypharmacy was defined as the prescription of five or more concomitant drugs (11). The type and number of analgesic drugs prescribed on admission was also collected.

Statistical Analysis

Descriptive statistics were presented as mean and SD, or absolute numbers. Unadjusted and adjusted logistic regression models were performed to predict the persistence of pain (dependent variable). A two-sided p value < 0.05 was considered as statistically significant. Statistical analyses were performed using SPSS v 24.

 

Results

Baseline characteristics of our study are reported in Table 2 (n= 45; female 44%; mean age72; SD 10 years). Among the 45 patients consecutively recruited, 35 (77%) were affected by solid tumor, 10 (23%) by hematological cancer. The majority of our sample suffered from advanced disease (n= 39;86%). 20 patients (44%) presented pain at admission and 9 patients (20%) reported persistent pain (after 7 days).

Table 2. Baseline Characteristics of patients included in the Study

Legend: SD = standard deviation; MMSE = Mini Mental State Examination; CIRS = Cumulative Illness Rating Scale;

Figure 1. Distribution of Frailty Index

 

The FI was normally distributed (Figure 1). Descriptive statistics define our population as frail with a mean of FI =0.44 (range 0.23-0.64). No patient presented a FI value equal or higher than 0.7. The FI was significantly associated with persistent pain (per 0.1-increase of FI: OR 2.66; 95%CI 1.13-6.27, p=0.03), even after adjustment for potential confounders (age, sex, number of medications taken, pain-killer drugs). The FI was also significantly associated with Numerical Rating Scale after 7 days from admission (β 4.24 95% CI 1.28 – 7.19, p=0.006), as reported in Table 3. No association was found between persistent pain and the number of prescribed analgesic drugs.

Table 3. Logistic regression analysis of predictors for persistence of pain and multivariate regression analysis of predictors of intensity of pain after 7 days from admission (n = 45)

Legend: CI = confidence interval; OR = odds ratio; * The OR is reported per 0.1-increase of the Frailty Index to facilitate the reading of the result.

 

Discussion

Our study shows that the FI is associated with persistent pain and pain intensity in oncological in-patients. Frailty and chronic pain are extremely common conditions that often coexist in older adults affected by cancer. According to the literature, more than 50% of older cancer patients are pre-frail or frail and these patients are at major risk of complications and mortality (12). In a recent meta-analysis (13), frailty and pre-frailty were present respectively in 18% and 43% of older adults experiencing chronic pain; vice versa chronic pain was reported by 50% of frail and by 37% of pre-frail individuals.

An advantage of our study is to have investigated the relationship between pain and frailty in cancer patients. The FI mean (0.44) defines our population as really frail. This result is significantly higher compared to the ones available in the onco-geriatric literature (14, 15). We think that this discrepancy could be explained by our peculiar setting: we included patients referred to a rehabilitation unit after a hospitalization for an acute event that made direct discharge or ambulatory follow up unsuitable. Therefore, our FI is more similar to FI calculated in acute, hospitalized patients or patients living in long term care facilities (16), whereas in other studies, the FI was built on oncological patients living in the community, who were referred for CGA as out-patients (17).
We found that frailty impacts in pain treatment independently. Since FI is associated with persistent pain, we can assume that it is easier for frailer patients to experience harder-to-treat pain. On the contrary, persistent pain is known to be a risk factor for developing frailty, reducing the individual’s reserves and therefore contributing to decrease his ability to maintain homeostasis (18). We hypothesize that the same underlying mechanisms (i.e. impaired mobility, depression and decreased nutritional intake) that define worsening frailty could lead to persistent pain (19).
Previous research shows a positive linear relationship between analgesic use and pain in “robust group”; this relationship is less pronounced in “frail group”, probably reflecting clinicians’ caution with analgesic prescription (20). In the study by Koponen et al., the prevalence of prescription and non-prescription analgesic use was higher among frail older people and frail analgesic users required more attention from their physician, suggesting inadequate pain control (21).
When properly assessed, pain can be effectively reduced in most cases. The study of Lohman et al. suggests incorporating persistent pain assessment into phenotypic frailty measurement. In fact, frail classes determined by including persistent pain were more strongly associated with all adverse outcomes (22). Persistent pain certainly acts on the mechanisms that underlie fragility (23); investigating in cancer patients how frailty acts in worsening persistent pain and how pain can in turn worsen frailty would allow us to think of new preventive and therapy models to act on several fronts. Adequacy also lies in prioritizing interventions on the patient’s needs (and analgesia is one of the cornerstones).
There are many studies that show how FI can be a useful tool in oncogeriatrics field, especially regarding therapeutic choices. Knowing frailty and measuring it with FI, as a result of a CGA, is a way to quantify the patient’s resources (24).
In our analyses, we found no association between polypharmacy and persistent pain. This is in contrast with the literature, where, on the other hand, the relationship between polypharmacy, chronic pain and frailty is clear (25, 26). A possible explanation of the fact that we have not found this correlation could be linked to the intrinsic characteristics of the population we have chosen: our patients are all fragile and are all oncological. Analyzing the types of drugs assumed, these are commonly used in cancer patients. We could speculate that a population of non-oncological older adults would feature a correlation between polypharmacy and persistent pain.
Our study has several limitations worth to be mentioned: first, the small sample size may have limited our analytical plan; this fact is majorly related to the availability of a large dataset related to this specific population, as mentioned earlier. Moreover, given the characteristics of our sample, we cannot guarantee the generalizability of our results for the general population of oncological patients. In particular, the peculiarity of the rehabilitation setting must be considered before attempting further research.

 

Conclusions

In our study, FI is associated with persistent pain and pain intensity in oncological patients undergoing rehabilitation. The clinical complexity of the oncological and older individual may indeed represent a challenge in the pain management. Frailty assessment in this type of patient can have a significant role on pain management, in particular on its persistence and intensity and therefore improve the quality of life and its possible implications at the rehabilitation level.
Surely the way forward is that oncologists and geriatricians work together to identify frailty and promote multidisciplinary decision-making to improve more individualized and optimized management strategies for the care of patients with cancer (27). A revised frailty index score including pain is advisable, in light also of other evidence found in literature.
It is known that elderly patients experience multiple causes of persistent pain, often very unresponsive to drug therapies. In elderly patients who have also oncological disease, the issue is even more complex because several types of pain coexist and can change over time and by type or location (28). In these patients, daily activities are inevitably compromised, and this increases the risk of triggering a vicious circle of immobility, disability, adverse events, malnutrition, falls, and poor tolerance to cancer treatments. There is evidence that non-pharmacological treatments like cognitive stimulation, behavioral techniques/exercise can reduce persistent pain and can improve functioning (29), reducing developing frailty.
A multidisciplinary treatment model is possible in rehabilitation contexts where attention is paid to all these aspects (pharmacological and non-pharmacological), trying as much as possible to counteract the progress of frailty, act on pain and improve the quality of life.

 

Conflict of interest: None declared by the authors.

Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

 

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