Literature DB >> 36249138

Prevalence of Chronic Postsurgical Pain among Cancer Patients: A Cross-Sectional Study.

Mahmoud I Ramadan1, Hussein Y Abu Khudair2, Abdullah T Obaid1, Ola A Yousef1, Raja A Sammour3.   

Abstract

Background: Cancer patients accept surgeries as part of their treatment. They may not be aware of the possibility of surgical pain persisting long after the surgery. Understanding chronic postsurgical pain is essential for effective pain management. Aims: We aimed to assess the prevalence of chronic postsurgical pain in cancer patients and the associated symptom burden. Settings and Design: This study was carried out at a tertiary cancer center. It was a cross-sectional study. Materials and
Methods: Participants who underwent surgeries were asked to provide feedback on the MD Anderson Symptom Inventory at 3 months. Statistical Analysis Used: Descriptive statistics were used. Statistical tests included Kruskal-Wallis test, Chi-square test, Fisher's exact test, and Spearman's correlation. Logistic regression was used to assess the influence of variables on the presence or absence of chronic postsurgical pain.
Results: Nine hundred and eighteen participants completed the study. Ninety-two percent (n = 840) were asymptomatic. Eight percent (n = 78) had postsurgical pain. Chronic postsurgical pain was influenced by the type of surgery (P = 0.01), specifically orthopedic and thoracic surgeries. Patients who receive epidurals are three times less likely to continue to have pain at 3 months. Conclusions: The prevalence of chronic postsurgical pain at 3 months in this study is lower than the rates in the literature. It is still associated with symptom burden that interferes with daily life. The risk of developing chronic postsurgical pain increases with thoracic and orthopedic surgeries. The risk may be lowered with epidural analgesia. Copyright:
© 2022 Anesthesia: Essays and Researches.

Entities:  

Keywords:  Cancer patients; chronic postsurgical pain; persistent postsurgical pain; surgery

Year:  2022        PMID: 36249138      PMCID: PMC9558672          DOI: 10.4103/aer.aer_24_22

Source DB:  PubMed          Journal:  Anesth Essays Res        ISSN: 2229-7685


INTRODUCTION

Chronic postsurgical pain has been described as a major public issue.[1] Its prevalence ranges between 5% and 85%.[2] The rates depend on the type of surgery[123] and the measuring tool.[4] Fifty percent of cancer patients experience pain because of the disease or its treatment.[567] In Jordan, 71% of cancer patients suffer pain that interferes with daily life.[8] Understanding chronic postsurgical pain, one prominent source in cancer patients, is essential to lessen suffering. In this study, we aimed to assess the prevalence of chronic postsurgical pain in cancer patients and the associated symptom burden.

MATERIALS AND METHODS

The center's institutional review board (IRB, accredited by the Association for the Accreditation of Human Research Protection Programs) reviewed and approved the study (IRB# 13 KHCC 21, approved in 2013). We adhered to the IRB and the Helsinki Declaration (in 1975 and revised in 2013) mandates for research on human subjects. The IRB required that patients' informed consent be obtained in ample time before the surgery. Written informed consent was obtained from all patients participating in this study. This manuscript adheres to the applicable STROBE guidelines for reporting cross-sectional studies. This was a cross-sectional research study. After 3 months of the surgery, we collected participants' feedback on their symptoms using the MD Anderson Symptom Inventory (MDASI). We ran this study between January 2013 and October 2016 at a single tertiary cancer center in Jordan. The primary outcome was to determine the overall prevalence of chronic postsurgical pain in cancer patients. The secondary outcomes included assessing prevalence in different surgery types; exploring the impact of age, gender, and analgesia on the prevalence; and estimating symptom burden 3 months from surgery.

Selection criteria

Patients were selected if they met the selection criteria. A patient was eligible if found to be a Jordanian, 18 years or older, and had a planned surgery. The patient was excluded if found cognitively impaired, with a relapsed disease state, or had been treated for chronic pain. During the preanesthesia clinic visit, the nurse coordinator or the anesthesiologist introduced patients to the study and, when possible, obtained their consent to participate. Patients' presurgical care, surgery, and postsurgical care followed the standard practices at the center. Three months following the surgery, the presence or absence of postsurgical pain was assessed. During a short phone call with the patient, the MDASI was completed. We elected to use the MDASI as it offered several advantages. It can be easily collected during a phone call. It takes no more than 10 min to complete. It is available in Arabic, and patients can easily understand it. It also provides additional information on symptom severity and symptom interference with daily life. Finally, it can be applied broadly across cancer types and treatments.[91011] Participants were required to recall symptoms and intensity in the last 24 h.[12] We verified with the participants that the pain they described resulted from the surgery and no other reason. Data on the participants' characteristics and surgery were obtained from the patients' charts. Study data were collected into an access database until the analysis. A patient was identified with chronic postsurgical pain if the pain from the surgery persisted a minimum of 3 months after the surgery.[13] Symptom intensity is “mild” if scores were >1 but <5 and “moderate to severe” if scores were ≥5.[14]

Sample size estimation

The minimum sample required was determined using different reported chronic postsurgical pain rates for leg amputation, thoracotomy, breast, and inguinal herniorrhaphy (60, 50, 30, and 10, respectively).[115] On average, 15–25 patients are admitted for surgery every week. At best, 60%–70% of patients will participate, and 10% may be lost to follow-up. Considering the recommendations for the precision proposed by Naing and Winn[16] and based on 95% confidence limits, different estimates were calculated using OpenEpi Copyright (c) 2003, 2008 Andrew G. Dean and Kevin M. Sullivan, Atlanta, GA, USA, an open-source calculator[17] [Table 1]. For a 10% prevalence with a 2% precision, 864 subjects were the minimum sample size necessary. With the required adjustment to ensure a complete sample, 960 subjects were required. Hence, we aimed to recruit 1000 participants.
Table 1

Different sample size estimates

Hypothesized prevalence (%)Precision (%)Sample sizeAdjusted sample size
102864960
305323359
505384427
605369410
Different sample size estimates A total of 1000 patients were screened and enrolled in the study. Eighty-two did not answer the phone. Nine hundred and eighteen participants completed the phone interviews and comprised the final analysis dataset. We used descriptive statistics, counts, and percentages to report the study's results. When testing for significance, we used the Kruskal–Wallis test to assess the difference in age between groups. Chi-square and Fisher's exact tests were applied to the categorical variables. Spearman's correlation was used to evaluate the association between age and pain scores. Age was grouped into two distinct groups at a cutoff of 55 determined as the cutoff with the maximum difference with receiver operating characteristic curve analysis[18] (first group: ≥55 and second group: <55). The surgeries were grouped according to type. MDASI mean scores with standard deviations (SDs) were calculated for total items (19 items), core symptom items (13 items), symptom interference items (6 items), and its subdimensions: affective subdimension (relations with others, enjoyment of life, and mood [REM]) and the activity subdimension (walking, general activity, and work [WAW]). Logistic regression was used for the binary outcome of whether or not a participant is presented with chronic postsurgical pain at 3 months. Variables were selected when they were found statistically significant in univariate analysis. The model summary was reported. Missing data were left as missing and were not substituted through imputation. The significance level was determined at a P ≤ 0.05 for all analyses. The data analysis was done using R version 4.1.0 The R Foundation, Vienna, Austria (Camp Pontanezen, May 18, 2021) and appropriate packages through RStudio version 1.4.1717, The R Foundation, Vienna, Austria.[1920212223]

RESULTS

Nine hundred and eighteen participants completed the study. The median age was 48 years, with an interquartile range between 40 and 58 years. Females represented two-thirds of the sample (n = 603, 66%). The majority of subjects were diagnosed with breast cancer (n = 378, 44%) and digestive/gastrointestinal cancers (n = 199, 22%). Breast and visceral surgeries were the most frequently performed surgeries, 38% (n = 353) and 24% (n = 221), respectively. Almost 69% (n = 632) of the surgeries took more than 3 h to complete, and those under 1 h were no more than 7% (n = 67). Two hundred and thirty-eight (26%) participants received epidural anesthesia. Epidural anesthesia is done intraoperatively and continues up to 5 days in most cases. It rarely extends to 6 or 7 days. Epidural drugs are a mix of bupivacaine 0.125% and fentanyl 2 μg.ml− 1. Only 27 (3%) were provided with patient-controlled analgesia (PCA), morphine, or fentanyl. Additional participant information is described in Table 2.
Table 2

Characteristics of the participants

CharacteristicData value
Age
 Median (IQR) (years)48 (40-58)
 Age≥55 years, n (%)285 (31)
 Age<55 years, n (%)632 (69)
 Missing, n (%)1 (0.1)
Gender, n (%)
 Females603 (66)
 Males315 (34)
Primary diagnosis, n (%)
 Breast cancer378 (41)
 Digestive/gastrointestinal cancers199 (22)
 Endocrine and neuroendocrine cancers49 (5)
 Genitourinary cancers75 (4)
 Gynecologic cancers47 (5)
 Head-and-neck cancers30 (3)
 Hematologic/blood cancers18 (2)
 Musculoskeletal cancers44 (5)
 Neurologic cancers15 (2)
 Respiratory/thoracic cancers26 (3)
 Skin cancers6 (1)
 Other cancers11 (1)
 Missing20 (2)
Surgeries, n (%)
 Gynecology/obstetrics53 (6)
 Visceral surgery221 (24)
 Breast353 (38)
 Urology80 (9)
 ENT stomatology76 (8)
 Orthopedic51 (6)
 Thoracic57 (6)
 Neurosurgery21 (2)
 Others6 (1)
Surgery duration (h), n (%)
 <167 (7)
 1-2219 (24)
 >2632 (69)
The subject had epidurals, n (%)238 (26)
The subject had PCA, n (%)27 (3)
The subject had epidural and PCA, n (%)1 (<1)
Subjects asymptomatic at 3 months, n (%)840 (92)
Subjects with chronic postsurgical pain at 3 months, n (%)78 (8)
Subjects with moderate-to-severe postsurgical pain at 3 months, n (%)27 (3)

IQR=Interquartile range, ENT=Ear, nose, and throat, PCA=Patient- controlled analgesia

Characteristics of the participants IQR=Interquartile range, ENT=Ear, nose, and throat, PCA=Patient- controlled analgesia Three months after the surgery, 92% (n = 840) of the participants were asymptomatic (MDASI total score = 0). Eight percent (n = 78) had postsurgical pain, of which 35% (n = 27) complained of moderate-to-severe pain. Table 3 lists the prevalence data for age, gender, and the different surgeries. The prevalence of chronic postsurgical pain was highest in thoracic and orthopedic surgeries, 20% (n = 10/51) and 16% (n = 9/57), respectively. The prevalence of chronic postsurgical pain was almost comparable between males and females (8% vs. 9%). The participants younger than 55 years had a slightly higher prevalence (9% vs. 7%) than those who were older (≥55 years).
Table 3

Prevalence of chronic postsurgical pain at 3 months

n Prevalence, n (%)
Overall91878 (8)
Age (years)
 Age<5563358 (9)
 Age≥5528520 (7)
Gender
 Male31525 (8)
 Female60353 (9)
Surgery type
 Gynecology/obstetrics534 (8)
 Visceral surgery22113 (6)
 Breast35335 (10)
 Urology805 (6)
 ENT stomatology762 (3)
 Orthopedic5110 (20)
 Thoracic579 (16)
 Neurosurgery210
 Others60
Selected surgeries
 Mastectomy21318 (8)
 Axillary dissection1119 (8)
 Hysterectomy272 (7)

ENT=Ear, nose, and throat

Prevalence of chronic postsurgical pain at 3 months ENT=Ear, nose, and throat MDASI per item analysis is described in Table 4. Overall, 8% (n = 78) of the participants suffered postsurgical pain at 3 months. Six percent experienced mild pain (n = 51), and moderate-to-severe pain was experienced by 3% (n = 27). Fatigued and numbness/tingling were the second-highest experienced symptoms (6%). Both correlated with the participants' pain scores (Spearman's correlation = 0.85). Four percent (n = 41) indicated that symptoms interfered with their daily lives. Interference with the general activity and work was most reported (6% of participants). Aside from pain, individuals that experienced moderate-to-severe symptoms did not exceed 1%.
Table 4

MD Anderson Symptom Inventory item analysis

Symptom intensityMean score (SD)Association with pain score



Mild (1≤score<5), n (%)Moderate to severe (score≥5), n (%)All subjectsSubjects with chronic postsurgical painSpearman’s correlation P
Core symptom items
 Pain51 (6)27 (3)0.35 (1.21)4.06 (1.41)--
 Fatigue48 (5)8 (<1)0.18 (0.85)2.11 (2.13)0.85<0.001
 Nausea10 (1)3 (<1)0.04 (0.42)0.49 (1.37)0.41<0.001
 Disturbed sleep34 (4)4 (<1)0.12 (0.63)1.42 (1.69)0.70<0.001
 Distressed (upset)25 (3)5 (<1)0.08 (0.53)0.99 (1.55)0.62<0.001
 Shortness of breath4 (<1)00.01 (0.14)0.10 (0.47)0.22<0.001
 Remembering things3 (<1)3 (<1)0.02 (0.32)0.27 (1.09)0.27<0.001
 Lack of appetite12 (1)5 (<1)0.06 (0.48)0.67 (1.52)0.46<0.001
 Drowsy (sleepy)8 (<1)2 (<1)0.03 (0.35)0.37 (1.14)0.36<0.001
 Dry mouth5 (<1)3 (<1)0.03 (0.41)0.36 (1.39)0.31<0.001
 Sad13 (1)1 (<1)0.03 (0.29)0.38 (0.93)0.43<0.001
 Vomiting4 (<1)2 (<1)0.02 (0.33)0.27 (1.12)0.28<0.001
 Numbness or tingling49 (5)8 (<1)0.18 (0.81)2.17 (1.85)0.85<0.001
Interference items
 General activity46 (5)13 (1)0.21 (0.88)2.45 (1.91)0.87<0.001
 Mood26 (3)6 (<1)0.10 (0.58)1.14 (1.66)0.65<0.001
Work (including work around the house)40 (4)12 (1)0.19 (0.90)2.27 (2.21)0.81<0.001
 Relations with other people9 (<1)1 (<1)0.03 (0.30)0.33 (0.99)0.36<0.001
 Walking10 (1)5 (<1)0.06 (0.52)0.68 (1.66)0.43<0.001
 Enjoyment of life19 (2)1 (<1)0.05 (0.43)0.58 (1.39)0.51<0.001
Summary
 MDASI overall33 (4)1 (<1)0.09 (0.41)1.11 (0.95)--
 MDASI symptom items29 (3)1 (<1)0.09 (0.40)1.05 (0.91)--
 MDASI interference items40 (4)1 (<1)0.11 (0.49)1.24 (1.22)0.88<0.001
MDASI WAW45 (5)7 (<1)0.15 (0.70)1.80 (1.70)0.88<0.001
MDASI REM23 (3)1 (<1)0.06 (0.37)0.68 (1.07)0.68<0.001

MDASI=MD Anderson Symptom Inventory, WAW=Walking, general activity, and work, REM=Relations with others, enjoyment of life, and mood, SD=Standard deviation

MD Anderson Symptom Inventory item analysis MDASI=MD Anderson Symptom Inventory, WAW=Walking, general activity, and work, REM=Relations with others, enjoyment of life, and mood, SD=Standard deviation The mean scores of MDASI for subjects with chronic postsurgical pain are described in Table 4. Participants' distribution for each symptom and interference item with respect to their intensity is depicted in Figures 1 and 2. In general, symptoms were mild (mean scores <5). The pain item score mean was 4.06 (SD = 1.41). Fatigue and numbness/tingling means were 2.11 (SD = 2.13) and 2.17 (SD = 1.85), respectively. The general activity score mean was 2.45 (SD = 1.91), and work had a mean of 2.27 (SD = 2.21). The remaining symptoms had mean scores below 1 or 2. Overall, there is a marked shift in scores of MDASI core symptom, interference, REM, and WAW items between mild- and moderate-to-severe pain (P < 0.001 in all) [Figure 3]. There were no gender differences in MDASI scores for core symptom, interference, REM, and WAW items (P = 0.64, 0.83, 0.98, and 0.92, respectively) [Figure 4]. Similarly, age showed no significant differences in MDASI scores for core symptom, interference, REM, and WAW items (P = 0.24, 0.25, 0.14, and 0.29, respectively. Fifty-five years was used as the cutoff) [Figure 5].
Figure 1

The distribution of participants based on the symptom experienced and the intensity at 3 months. MDASI = MD Anderson Symptom Inventory

Figure 2

The distribution of participants based on the interference experienced and the intensity at 3 months. MDASI = MD Anderson Symptom Inventory

Figure 3

Boxplot of MDASI; core item, interference item, REM item, and WAW item scores, considering the intensity of chronic postsurgical pain at 3 months. MDASI = MD Anderson Symptom Inventory, REM = Relations with others, enjoyment of life, and mood, WAW = Walking, general activity, and work

Figure 4

Boxplot of MDASI; core item, interference item, REM item, and WAW item scores, considering the participants' gender. MDASI = MD Anderson Symptom Inventory, REM = Relations with others, enjoyment of life, and mood, WAW = Walking, general activity, and work

Figure 5

Boxplot of MDASI; core item, interference item, REM item, and WAW item scores, considering the participants' age. MDASI = MD Anderson Symptom Inventory, REM = Relations with others, enjoyment of life, and mood, WAW = Walking, general activity, and work

The distribution of participants based on the symptom experienced and the intensity at 3 months. MDASI = MD Anderson Symptom Inventory The distribution of participants based on the interference experienced and the intensity at 3 months. MDASI = MD Anderson Symptom Inventory Boxplot of MDASI; core item, interference item, REM item, and WAW item scores, considering the intensity of chronic postsurgical pain at 3 months. MDASI = MD Anderson Symptom Inventory, REM = Relations with others, enjoyment of life, and mood, WAW = Walking, general activity, and work Boxplot of MDASI; core item, interference item, REM item, and WAW item scores, considering the participants' gender. MDASI = MD Anderson Symptom Inventory, REM = Relations with others, enjoyment of life, and mood, WAW = Walking, general activity, and work Boxplot of MDASI; core item, interference item, REM item, and WAW item scores, considering the participants' age. MDASI = MD Anderson Symptom Inventory, REM = Relations with others, enjoyment of life, and mood, WAW = Walking, general activity, and work The comparison between participants with and without chronic postsurgical pain regarding the factors age, gender, surgery type and duration, and use of epidurals or PCA is shown in Table 5. Chronic postsurgical pain was influenced by the type of surgery (P = 0.01), specifically orthopedic and thoracic surgeries (P = 0.008 and 0.0499, respectively). Differences in age or gender were statistically insignificant (P = 0.28 and 0.66, respectively). Age did not correlate with pain scores even when grouped by gender (Spearman's rank correlation was ‒0.2678 and ‒0.0876 for males and females, respectively) [Table 6 and Figure 6]. The duration of surgery, including surgeries that took more than 3 h to complete, did not show any meaningful statistical difference (P = 0.49).
Table 5

Comparison of the characteristics of participants, those without and those with chronic postsurgical pain at 3 months

Without chronic postsurgical pain (n=840)With chronic postsurgical pain (n=78)P*OR (95% CI)
Age (years)
 Median (IQR)48 (40-58)47 (39-55)0.260.99 (0.97-1.01)
 Age<55, n (%)575 (68)58 (74)
 Age≥55, n (%)265 (32)20 (26)0.280.75 (0.44-1.27)
Gender, n (%)
 Male290 (35)25 (32)
 Female550 (65)53 (68)0.661.12 (0.68-1.84)
Surgery type, n (%)
 Gynecology/obstetrics49 (6)4 (5)>0.990.87 (0.31-2.49)
 Visceral surgery208 (25)13 (17)0.110.61 (0.33-1.12)
 Breast318 (38)35 (45)0.271.34 (0.84-2.13)
 Urology75 (9)5 (6)0.670.70 (0.27-1.78)
 ENT stomatology74 (9)2 (3)0.0530.27 (0.07-1.13)
 Orthopedic41 (5)10 (13)0.0082.87 (1.38-5.97)
 Thoracic48 (6)9 (12)0.04992.15 (1.01-4.57)
 Neurosurgery21 (3)00.250.24 (0.01-4.04)
 Others6 (<1)0>0.990.82 (0.05-14.65)
Selected surgeries, n (%)
 Mastectomy195 (23)18 (23)>0.990.99 (0.57-1.72)
 Axillary dissection102 (12)9 (12)>0.990.94 (0.46-1.95)
 Hysterectomy25 (3)2 (3)>0.99
Surgery duration (h), n (%)
 <161 (7)6 (8)0.821.06 (0.44-2.55)
 1-2198 (24)21 (27)0.511.19 (0.71-2.02)
 ≥3581 (69)51 (65)0.490.84 (0.52-1.37)
 Epidural, n (%)230 (27)8 (10)<0.0010.30 (0.14-0.64)
 PCA, n (%)24 (3)3 (4)0.491.36 (0.40-4.62)

*P≤0.05 is significant, †Odds obtained through logistic regression with one variable, ‡Haldane-Anscombe correction applied. CI=Confidence interval, PCA=Patient-controlled analgesia, OR=Odds ratio, ENT=Ear, nose, and throat, IQR=Interquartile range

Table 6

Correlation between age and pain scores at 3 months

Group n Spearman’s rank correlation rho95% confidence limitsP*

LLUL
All participants918−0.0397−0.10460.02460.2295
Participants with pain at 3 months78−0.2028−0.40590.02190.0749
Males with pain at 3 months25−0.2678−0.59590.14780.1955
Females with pain at 3 months53−0.0876−0.34880.18800.533

*P≤0.05 is significant. LL=Lower limit, UL=Upper Limit

Figure 6

Scatter plot of MDASI pain item score against age for males and females. MDASI = MD Anderson Symptom Inventory

Comparison of the characteristics of participants, those without and those with chronic postsurgical pain at 3 months *P≤0.05 is significant, †Odds obtained through logistic regression with one variable, ‡Haldane-Anscombe correction applied. CI=Confidence interval, PCA=Patient-controlled analgesia, OR=Odds ratio, ENT=Ear, nose, and throat, IQR=Interquartile range Correlation between age and pain scores at 3 months *P≤0.05 is significant. LL=Lower limit, UL=Upper Limit Scatter plot of MDASI pain item score against age for males and females. MDASI = MD Anderson Symptom Inventory The use of epidurals had a statistically significant difference compared to the use of PCA (P < 0.001 vs. 0.49). Participants who had epidurals were three times less likely to have persistent pain at 3 months (odds ratio: 0.3, with a 95% confidence limit between 0.14 and 0.64). A patient is three times as likely to continue to suffer from pain at 3 months when the patient was subject to orthopedic surgery, holding the other factors constant [Table 7]. The patient would have persistent pain at 3 months, twice as likely if subject to thoracic surgery. Under the same model, patients who receive epidurals are three times less likely to continue to have pain at 3 months.
Table 7

Summary data of a logistic model for chronic postsurgical pain at 3 months fitted against orthopedic and thoracic surgeries and the use of epidural anesthesia

ParameterEstimateSE Z P OR95% confidence limits

LLUL
Intercept−2.33250.1413−16.5120< 0.0010.100.070.13
Orthopedic surgery1.23650.38543.20810.0013.441.547.11
Thoracic surgery0.89290.39212.27740.022.441.075.06
Epidural anesthesia−1.25170.3842−3.25760.0010.290.120.57

LL=Lower limit, UL=Upper limit, OR=Odds ratio, SE=Standard error

Summary data of a logistic model for chronic postsurgical pain at 3 months fitted against orthopedic and thoracic surgeries and the use of epidural anesthesia LL=Lower limit, UL=Upper limit, OR=Odds ratio, SE=Standard error Similarly, we compared the presence or absence of moderate-to-severe postsurgical pain concerning the factors shown in Table 8. Age may contribute to persistent moderate-to-severe pain at 3 months (P = 0.0098). This association did not hold when age was fitted with orthopedic surgery in a logistic model [Table 9]. At 3 months, orthopedic surgery was the only surgery associated with moderate-to-severe pain. No other factors showed a significant association.
Table 8

Comparison of the characteristics of participants, those without and those with moderate-to-severe postsurgical pain at 3 months

Without moderate-to-severe pain (n=891)With moderate-to-severe pain (n=27)P*Odds (95% CI)
Age (years)
 Median (IQR)48 (40-58)43 (32-49.5)0.00980.96 (0.93-0.99)
 Age <55, n (%)609 (68)24 (89)
 Age ≥55, n (%)282 (32)3 (11)0.02060.27 (0.08-0.90)
Gender, n (%)
 Male304 (34)11 (41)
 Female587 (66)16 (59)0.47520.75 (0.35-1.64)
Surgery type, n (%)
 Gynecology/obstetrics52 (6)1 (4)>0.990.62 (0.08-4.66)
 Visceral surgery218 (24)3 (11)0.16730.39 (0.12-1.29)
 Breast341 (38)12 (44)0.5161.29 (0.60-2.79)
 Urology79 (9)1 (4)0.50350.40 (0.05-2.95)
 ENT stomatology74 (8)2 (7)>0.990.88 (0.21-3.80)
 Orthopedic43 (5)8 (30)<0.0018.30 (3.44-20.04)
 Thoracic57 (6)00.40480.26 (0.02-4.38)
 Neurosurgery21 (2)0>0.990.74 (0.04-12.47)
 Others6 (<1)0>0.992.48 (0.14-45.08)
Selected surgeries, n (%)
 Mastectomy207 (23)6 (22)>0.990.94 (0.38-2.37)
 Axillary dissection108 (12)3 (11)>0.990.91 (0.27-3.06)
 Hysterectomy26 (3)1 (4)0.55861.28 (0.17-9.79)
Surgery duration (h), n (%)
 <166 (7)1 (4)0.71460.48 (0.06-3.60)
 1-2212 (24)7 (26)0.81921.12 (0.47-2.69)
 ≥3613 (69)19 (70)>0.991.08 (0.47-2.49)
Epidural, n (%)233 (26)5 (19)0.50460.64 (0.24-1.71)
PCA, n (%)27 (3)0>0.990.57 (0.03-9.61)

*P≤0.05 is significant, †Haldane-Anscombe correction applied. CI=Confidence interval, PCA=Patient-controlled analgesia, ENT=Ear, nose, and throat, IQR=Interquartile range

Table 9

Summary data of a logistic model for postsurgical moderate-to-severe pain at 3 months fitted against age and orthopedic surgery

ParameterEstimateSEZ valueP*OR95% confidence limits

LLUL
Intercept−3.55250.2483−14.30750.00000.030.020.05
Age ≥55−1.10580.6240−1.77230.07630.330.080.98
Orthopedic surgery1.96220.45454.31780.00007.122.7816.86

*P≤0.05 is significant. LL=Lower limit, UL=Upper limit, SE=Standard error, OR=Odds ratio

Comparison of the characteristics of participants, those without and those with moderate-to-severe postsurgical pain at 3 months *P≤0.05 is significant, †Haldane-Anscombe correction applied. CI=Confidence interval, PCA=Patient-controlled analgesia, ENT=Ear, nose, and throat, IQR=Interquartile range Summary data of a logistic model for postsurgical moderate-to-severe pain at 3 months fitted against age and orthopedic surgery *P≤0.05 is significant. LL=Lower limit, UL=Upper limit, SE=Standard error, OR=Odds ratio

DISCUSSION

Eight percent of the study participants continued to have postsurgical pain at 3 months. This was well within reported rates of 5%–85%.[2] However, the rates we estimated are low compared to most literature reports. For example, breast surgeries in our study constituted 38% of the total surgeries. Mastectomies (n = 213) made up 60% of the breast surgeries and 23% of the total. Postsurgical pain following mastectomies is reported between 20 and 50%.[13] In Beloeil and Sulpice account, the rates are between 10% and 60%.[24] Our study's rate for postsurgical pain following mastectomy is only 8%. Several reasons can help explain having low rates. Prevalence rates for postsurgical pain are very much dependent on the study design and tool used in the assessment.[4] Different studies measure pain prevalence at different time points (24 h, 3, 6, 12, or 24 months), and it is a challenge to match studies. The definition of the chronicity of postsurgical pain has been subject to debate.[25] Patients may be reluctant to report pain for various reasons.[1526] Patients were said to dismiss pain when thinking about their primary condition.[27] Patients have voiced concerns about opioids and the possibility of addiction.[152829] Patients want to be good for their physicians.[26] Older patients do not want to be a nuisance to their families or caregivers. They are also likely to have difficulty in communicating pain to their physicians.[29] How a given culture perceives pain influences the willingness to express pain.[28] Arabs have a tendency to underreport pain because they believe that it is an act of God and are willing to bear the pain until they no longer tolerate it.[2430] Male Arabs are often discouraged from expressing pain because it is a sign of weakness.[30] The quality of care for cancer patients varies between the hospitals that offer the service in Jordan.[31] This may influence the recovery of patients and eventually the experience of pain. Gender and age differences have been discussed in the literature. Akkaya and Ozkan[3] have discussed reports showing demographic differences for old versus young age or women versus men. A recent review by Mills et al.[32] lists age and gender as factors in developing chronic postsurgical pain. This has not been the case in our study, even when selecting specific surgeries to explore (P > 0.05). Such differences may be evident when a study is designed and controlled to focus on a particular surgery. It may be the case when developing moderate-to-severe chronic postsurgical pain rather than mild. In our study, age was associated with moderate-to-severe postsurgical pain at 3 months. Still, we ruled it out as a factor in the logistic regression model. Beyond that, we are not aware of any other plausible explanation. Our results show that the different surgeries have different prevalence rates for chronic pain. Orthopedic and thoracic surgeries were significant predictive factors. There may indeed be a need to inform patients about the possibility of developing chronic pain in similar surgeries, as was suggested by Choinière et al.[27] Peters et al.[33] reported that patients undergoing surgeries that lasted longer than 3 h were at risk for chronic postsurgical pain at 6 months. Our study showed that duration did not associate with chronic postsurgical pain at 3 months. This suggests that time may not adequately reflect the complexity of the operation and the surgical techniques employed to help predict developing chronic postsurgical pain. Bouman et al.[34] and Park et al.[35] discussed that epidural analgesia may reduce the risk of chronic postsurgical pain. Similarly, our results suggest that epidural analgesia can reduce the chances of developing postsurgical pain. The MDASI item scores show that the symptom burden at 3 months is generally mild. However, shifting toward individuals with moderate-to-severe pain, the symptom burden increases. This supports the point that chronic postsurgical pain is a burdensome complication. Uncontrolled pain increases the general symptom burden, impacting the quality of life and affecting the patient's adherence to therapy and satisfaction with care.[736] Although based on a large sample, the study results should be reviewed with caution. The majority of patients were subject to breast and visceral surgeries. It is worth noting that breast cancer and colorectal cancer are the highest reported cancers in the country.[37] Ninety-two percent had an MDASI total score of 0. If patients refrained from informing the surveyors about their actual pain status, we do not know. Confounding bias may exist because factors such as the disease stage and status, body mass index, social characteristic, or performance status were not collected and accounted for. The study assessed the point prevalence of chronic postsurgical pain. A 24-h recall will tell us about that single point in time. Patients may be forgetful or feeling well or even bad at that time, which may cloud their perception of pain. As it is point prevalence, we have no other information if this pain carried over the 3 months or was just a breakthrough episode of acute pain. We worked with the International Association for the Study of Pain (IASP) definition[13] and a short recall of 24 h. However, pain is a complex phenomenon and is not a constant. Different factors can influence the perception of pain, including heredity.[138] Patients may not be in pain at that moment in time when they were asked about their pain. The study results provide a glimpse of chronic postsurgical pain in cancer patients undergoing different surgeries. Furthermore, it includes information on the symptom burden associated with chronic postsurgical pain. Future research may focus on specific surgeries, surgery-related factors, and the appropriate patient characteristics (e.g., socioeconomic, medical, and demographic). A better understanding of the burden of chronic postsurgical pain on patients is possible if prevalence is assessed based on duration rather than a single point in time. Three months by definition is sufficient, but following up with patients for more extended periods may be more appropriate.

CONCLUSIONS

The prevalence of chronic postsurgical pain at 3 months in this study is lower than the rates in the literature. Nevertheless, it is still associated with symptom burden that interferes with daily life. The risk of developing chronic postsurgical pain increases with thoracic and orthopedic surgeries. The risk may be lowered with epidural analgesia.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  28 in total

Review 1.  Chronic post-surgical pain.

Authors:  Taylan Akkaya; Derya Ozkan
Journal:  Agri       Date:  2009-01

2.  Prevalence of and risk factors for persistent postoperative nonanginal pain after cardiac surgery: a 2-year prospective multicentre study.

Authors:  Manon Choinière; Judy Watt-Watson; J Charles Victor; Roger J F Baskett; Jean S Bussières; Michel Carrier; Jennifer Cogan; Judy Costello; Christopher Feindel; Marie-Claude Guertin; Mélanie Racine; Marie-Christine Taillefer
Journal:  CMAJ       Date:  2014-02-24       Impact factor: 8.262

Review 3.  Peri-operative pain and its consequences.

Authors:  H Beloeil; L Sulpice
Journal:  J Visc Surg       Date:  2016-10-24       Impact factor: 2.043

4.  Does recall period have an effect on cancer patients' ratings of the severity of multiple symptoms?

Authors:  Qiuling Shi; Peter C Trask; Xin Shelley Wang; Tito R Mendoza; Winifred A Apraku; Maggie Malekifar; Charles S Cleeland
Journal:  J Pain Symptom Manage       Date:  2010-06-25       Impact factor: 3.612

Review 5.  Genetics of chronic post-surgical pain: a crucial step toward personal pain medicine.

Authors:  Hance Clarke; Joel Katz; Herta Flor; Marcella Rietschel; Scott R Diehl; Ze'ev Seltzer
Journal:  Can J Anaesth       Date:  2014-12-04       Impact factor: 5.063

Review 6.  Pain prevalence in cancer patients: status quo or opportunities for improvement?

Authors:  Johan Haumann; E Bert A Joosten; Marieke H J van den Beuken-van Everdingen
Journal:  Curr Opin Support Palliat Care       Date:  2017-06       Impact factor: 2.302

7.  Patient-related attitudinal barriers to cancer pain management among adult Jordanian patients.

Authors:  Nijmeh Mohammed Hussein Al-Atiyyat; April Hazard Vallerand
Journal:  Eur J Oncol Nurs       Date:  2018-02-03       Impact factor: 2.398

8.  Arabic Tools for Assessment of Multidimensions of Pain and Discomfort Related to Cancer.

Authors:  Rouahi Nabila; Zouhdi Mimoun
Journal:  Asian Pac J Cancer Prev       Date:  2016

9.  Reduced incidence of chronic postsurgical pain after epidural analgesia for abdominal surgery.

Authors:  Esther A Bouman; Maurice Theunissen; Sabrina A Bons; Walther N van Mook; Hans-F Gramke; Maarten van Kleef; Marco A Marcus
Journal:  Pain Pract       Date:  2013-06-12       Impact factor: 3.183

Review 10.  Breast Cancer Care in Jordan.

Authors:  Hikmat Abdel-Razeq; Asem Mansour; Dima Jaddan
Journal:  JCO Glob Oncol       Date:  2020-02
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