Keywords
primary hyperhidrosis (PHH), endoscopic thoracic sympathectomy (ETS), quality of life (QOL), compensatory sweating (CS)
primary hyperhidrosis (PHH), endoscopic thoracic sympathectomy (ETS), quality of life (QOL), compensatory sweating (CS)
Primary hyperhidrosis (PHH) is a chronic and distressing condition not caused by a medical condition but thought to be caused by over-stimulation of cholinergic receptors on eccrine glands. An excessive sweating beyond what the body is used for homeostatic temperature regulation remains the main pathologic feature.1 Since eccrine glands are found commonly at the palms, axilla, face, and soles, these are the areas mainly affected by PHH.2 Physiologically, it is thought that the negative feedback loop is impaired in such patients, which also helps to explain how a physiologic response becomes pathologic.3
Different prevalence rates for PHH have been cited around the globe ranging from 0.6% to 16.3%,4 and despite the myriad of treatment options, endoscopic thoracic sympathectomy (ETS) is still the most effective with a high rate of patient satisfaction despite the occurrence of compensatory sweating (CS) elsewhere in the body.5,6,7,8 Although the pathogenesis of CS remains unknown, it is believed that CS occurs due to an abnormal thermoregulatory response after sympathectomy due to altered feedback mechanism in the hypothalamus, whereby residual sweat glands increase their activity in an attempt to compensate for the loss of neural regulated sweat glands.9
Ever since the advent of ETS, CS has become the most feared complication because if severe, will significantly affect the quality of life (QOL) of patients.10 It is deemed the worst side effect of ETS, which impacts on daily activities.11,12,13 However, only a few studies have assessed CS and if its intensity affects the QOL of patients, but the results were inconsistent. Dias et al 14 proposed that CS potentially worsens postoperative QOL. Chang and colleagues’15 retrospective review reported that overall satisfaction of patients was inversely correlated with the severity of CS. On the other hand, one study concluded that postoperative QOL did not depend solely on the severity of CS, but also on the ability of patients to tolerate the situation.16
It is also worth noting that besides traditional outcome data, complication rate and morbidity, as we have presented in our previous research17, and QOL analyses were also used as benchmarks of the success of such surgical procedure. But it is also noted that some QOL questionnaires are lacking in quality, and in deriving substantive conclusions.18 Some researchers19,20 used generic QOL instruments such as the Short Form 36 (SF36) that would look at all aspects of the patients’ health status, but it lacks specificity. These questionnaires might not be able to detect disease-specific changes in the QOL of patients post-surgery21. Whereas disease-specific questionnaires might be able to measure the change in the QOL of patients suffering from a specific disease.22,23
We noted that, for assessing the QOL of patients after ETS, two of the most commonly used disease-specific questionnaires are by Keller et al24 that assesses the hyperhidrosis scale using 15 questions concerning daily life; and Milanez de Campos et al25 that has four different domains with 20 questions that cover sweating symptoms, intimacy, emotional response, and special circumstances.
This study was conducted from January to July 2019 at the National Heart Institute (IJN) in Kuala Lumpur which was a five-year retrospective review of the QOL of patients who underwent bilateral endoscopic thoracic sympathectomy (BETS) for the treatment of PHH at the National Heart Institute of Malaysia [Institut Jantung Negara (IJN)] from January 2014 to December 2018. With the approval of the IJN Research Ethics Committee (IJNREC), all patients’ medical records were screened to ensure the completion of data. A complete medical record would include the proper and adequate documentation of patient’s demographics, preoperative consultation record, medical and surgical record, laboratory results and postoperative follow-up notes. All eligible patients were contacted through phone calls for the administration of the questionnaire, which comprises of preoperative and postoperative scoring.
Inclusion criteria: bilateral endoscopic thoracic sympathectomy cases; completed medical records; consented for an interview.
Exclusion criteria: missing data from the medical record; medical condition that resulted in secondary hyperhidrosis; redo endoscopic thoracic sympathectomy; failure to give consent for an interview
This constituted a total of 62 patients who all had moderate to severe PHH prior to surgery, involving more than one location.
Ethical approval was obtained from both the IJN Research Ethics Committee (IJNREC/207/2017) and Monash University Human Research Ethics Committee (MUHREC/9214). The study was also registered with the National Medical Research Register (NMRR-17-3133-39469). Verbal consent to participate in the study was obtained over the telephone. This method of consent was approved by the Research Ethics Committees, as set out in the study protocol submitted to them.
All research procedures were done in accordance with the ethical regulations set by the IJN Ethics Committee (IJNEC), Monash University Human Research Ethics Committee (MUHREC) and it abides with the Helsinki Declaration revised in 2013.
All patients were assessed for the severity of hyperhidrosis before surgery. Once the anaesthetic assessment is completed, elective surgery of BETS was scheduled. All BETS were performed by two different surgeons with the same level of experience and using similar techniques. All surgeries were performed in a standardized manner using the same equipment under general anaesthesia. None of the surgeries was converted into open surgery. In our institute, BETS was conducted in such a way that two incisions were made for the access of ports and thoracoscope. The first incision was made around the mid-axillary line over the fifth intercostal space. After deflating the lung of the operative side, the pleural space was entered by blunt dissection. Then, a second incision was made around the submammary fold under endoscopic guidance. For each side of the surgery, two ports of either 5mm or 10mm were used with a 30 degree thoracoscope. Once the ganglion was identified, the sympathetic chain would be interrupted using excision method. The same procedure was then repeated on the contralateral side at the same level of interruption in all cases. All specimens excised were sent for histopathology examination for the confirmation of ganglion excision. Patients were hospitalised for a total duration of three to four days to monitor for postoperative complications such as pneumothorax and wound management. All patients were subjected to chest X-rays which were reviewed by surgeons before discharge.
For this study, all surgical and inpatient notes were analysed and recorded including the total operative time, days of hospital stay, pain score, postoperative complications, and medications used.
All except one patient had at least one follow-up after surgery. About 63% of them attended follow-up twice and one of them had it thrice. During follow up, patients were assessed for symptom resolution, occurrence and severity of CS, pain, wound healing as well as other problems resulting from surgery.
All questionnaires were administered during the period of January until July 2019. The questionnaire used for this study was the validated Health Related Quality of Life (HRQOL) Questionnaire in PHH which is a modified questionnaire based on studies by Milanez de Campos et al25 and Keller and colleagues24, which was designed to specifically evaluate preoperative and postoperative improvement of QOL in patients with hyperhidrosis. After obtaining the demographic data from the case records, the patients were interviewed via telephone on the severity of their PHH and also any possible recurrence, and on CS (Extended data: Appendix 146). This is followed by the second set of questionnaires that assessed the impact of QOL in four major domains, namely the functional, social, personal and psychological domains (Extedned data: Appendix 246).
The questionnaire starts with a single question of ‘In general, how would you rate your quality of life before and after treatment?”, in which patients will be asked to rate from 0 to 10, with 0 being the worst and 10 being excellent. This was followed by a total of 29 questions with 17 questions on functional domain, 3 questions on social domain, 2 for personal domain and 7 questions on psychological domain. Within the functional domain, the questions were further divided into 9 questions that focus on palmar sweating, 5 questions on feet sweating, and 3 questions on axillary sweating. The final total score of QOL can therefore possibly range from 0 to 290. In this study, QOL was assessed in three major forms that are: a) general QOL, b) QOL score as per domain and c) total QOL score of all domains, as illustrated in Figure 1.
Furtermore, patients were asked to rate their overall satisfaction level from 0 being the worst, 5 being neutral, to 10 being excellent, and the score was further categorised into very unsatisfied (0-1), unsatisfied (2-4), neutral (5), satisfied (6-8) and completely satisfied (9-10). For the purpose of this study, there were additional open-ended questions after each section of the domain to address all potential issues that might be missed from the questionnaire. A good mix between closed-ended and limited number of open ended-questions allows for a smooth flow of interview while adequately addressing patients’ concern. All questions were asked in a simple and clear manner without medical jargons to avoid ambiguity or misunderstanding. At the end of the interview, we also asked if patients regretted the decision to undergo surgery.
All complete patients’ medical records were reviewed by a single investigator to record relevant data. Data collection was performed by a single investigator throughout the study in order to reduce potential bias secondary to inconsistent administration of questionnnaire and data handling. Prior to interview, a separate reference list with only patients’ name and contact details was generated. This ensured the blinding of investigator from the level of interruption that patients had underwent, therefore reducing investigator bias. Before the interview, a template of conversation was created for a good conversation flow. This template included a standard introduction to the identity of investigator, purpose of the project, assurrance of patients’ confidentiality, and ended by obtaining patients’ informed consent. In addition, pilot tests were run with ten volunteers to gain feedback to improve the process of interview. These were patients from our previous cohort of study on ETS17 and no changes were made to the questionnaire after the pilot study.
Prior to the interview, patients were asked to choose their language of preference, between Malay or English for better communication. This was done on a background of an investigator who is fluent in both languages. Good rapport was built by asking daily questions to make patients feel more at ease in expressing themselves. In order to reduce performance bias, all patients were reassured that there will be no coercion on their response and honest feedback is greatly appreciated for the benefit of scientific research. To reduce recall bias, all patients were informed at the beginning of the phone call that the interview would take an average of 30 minutes; hence, appointment will be made at another time if patients were occupied at that particular moment. Besides, for each of the questions asked, patients were given adequate time to recall without any prompts. This was strictly adhered to across all interviews to minimise recall bias. When asked to rate the QOL from a scale of 0 to 10 with regards to hyperhidrosis, a standard explanation was given to all patients that was: 0 represents the worst QOL you could imagine, while 10 represents excellent QOL, and 5 being a neutral response.
Data entry and analysis were performed using IBM® SPSS Statistics version 25.0. Descriptive statistics were reported as percentages for discrete variables, continuous data were reported as means with standard deviations (SDs) for parametric data and medians with interquartile ranges (IQRs) for non-parametric data. Internal consistency of questions was tested separately for each domains using Cronbach’s Alpha reliability test. Questions from each subset of functional domain and psychological domain demonstrate excellent internal consistency. Personal domain demonstrates poor consistency and hence may impose a limitation to our analysis (Table 1). Tested variables were first explored for its normality, outliers and linear relationship and those which met the assumptions will be analysed using parametric analysis whereas those that did not will be analysed using non-parametric analysis. Correlations between factors affecting the occurrence of CS were assessed using Spearman’s rho or Pearson’s correlation. Coefficient of more than 0.7 will be considered significant. Differences between categorical variables were analysed using Fisher’s exact test or chi-squared test, depending on the assumptions. Differences for independent continuous variables were analysed using independent t-test or Mann-Whitney test for parametric and non-parametric data, respectively. The differences in QOL score rated by patients before and after operation were compared using the paired t-tests for normally distributed data, or Wilcoxon signed-rank test for skewed data. As the improvement of QOL in certain domains was not normally distributed, all comparisons of QOL improvement in each domains were done using the Wilcoxon test. The value of significance was taken at p<0.05 for all the analysis.
A total of 62 patients were included based on the criteria of complete medical records and having BETS done between January 2014 and December 2018. One patient was excluded for having undergone the surgery twice. All relevant medical records were screened thoroughly to ensure that there was no underlying medical condition that may be a confounder to secondary hyperhidrosis such as anxiety disorder, diabetes, or hyperthyroidism. The final diagnosis of PHH in each patient was confirmed through consultation record after the exclusion of possible secondary causes of hyperhidrosis. Thirteen patients were lost to contact, and two patients did not consent to the phone interview for personal reasons. Finally, 46 patients (response rate: 74.2%) consented to the telephone interview, and all of them completed the HRQOL questionnaire (Figure 2).
The studied population comprised of 30 (65.2%) and 16 female (34.8%) patients. In total, 36 of patients were ethnic Malays (84.8%), 6 were Chinese (13%) and 1 was Indian (2.2%), which appropriately represented the racial distribution in Malaysia. None of the patients had any medical conditions that might predispose them to secondary hyperhidrosis. Blood tests were done on all patients to ensure there were no cases of thyroid dysfunction, or diabetes. Upon first consultation, no patient reported any anxiety disorder which might worsen the severity of sweating.
The age of the study population ranged from 13 to 55 years old, with 84.8% of the study population being younger than 30 years old. The distribution was positively skewed with a median of 20.5 years old. The BMI of the study population is normally distributed with a mean of 23.02 kg/m2 (SD=4.04). When classified into categories, 1 (2.2%) patient was underweight, 25 (54.3%) were normal, 16 (34.8%) were overweight and 4 (8.7%) were obese (Table 2).
Location of hyperhidrosis
Only two patients had sweating from a single location (4.3%), as most of them had hyperhidrosis in two locations (73.9%), with the remaining reported PHH involving more than two locations (21.7%). Combined palmar-plantar hyperhidrosis was present in 73.9% of the study population, with the rest distributed in all different possible combinations, as summarised in Table 3. Broken down to each location and its individual reported frequencies, the palm was the most commonly reported location by all patients (100%), followed by the soles of the feet [43 (93.5%) patients].
Severity
All patients experienced moderate to severe sweating from the palms and soles, which prompted them to seek surgical treatment. Reportedly, 45.7% had moderate palmar hyperhidrosis while 54.3% had severe condition. None had mild sweating prior to surgery. Some described dribbling of sweat from hands and feet, which embarrassed and impaired their daily activities. The majority of patients described worsening of sweating with hot weather and relieved by staying in cool condition. A small proportion of patients described worsening of sweating by stress. In some cases, sweating was persistent even under cool conditions, leading to a very poor QOL before operation.
Level of sympathectomy
In our centre, majority of BETS were performed at a level of T2-T3 (78.3%), the frequency reported is summarised in Table 3. A T2 level has been well recognised to increase the risk of CS and other complications if interrupted26,27. Hence, we further categorise patients into T2-involved and T2-spared group to study the difference between both groups.
Occurrence of compensatory sweating
Although the definition of CS remains vague, it is essentially a condition of increased sweating at a previously normal location, to an extent of being noticed by patients. In our study, CS was reported in up to 41 (89.1%) of patients. We further assessed these patients for the location(s) involved and its severity. Data on the onset of CS first becoming noticeable was also recorded. When assessing the locations involved in CS, every patient was asked regarding the presence of CS at locations such as the face, axilla, trunk, abdomen or groin, and lower limbs. They were then grouped into patients who had CS from one location, two locations and more than two locations. In total, 38 (92.7%) patients reported having CS on the body, followed by lower limbs (48.8%). CS at the abdominal and groin region was reported by 10 (24.4%) patients, and axillary region by 4 (9.8%) patients. We noticed that 64.3% of patients who experienced CS first noticed the sweating within the first month of the surgery. Among these, 31.7% noticed it as early as during the first week of surgery. Less than a quarter (13.0%) noticed CS more than six-months after the surgery. Patients with CS were also asked to rate the severity of sweating as mild, moderate or severe according to the pre-set standard definition (Table 4). The majority of them had moderate CS (41.5%) or severe CS (43.9%). Only 14.6% of them described mild sweating and this information is summarised in Table 4.
Evolution of compensatory sweating
The majority of patients reported no improvement in the intensity of CS. Only four (9.8%) patients reported complete resolution of CS over time, and three (7.3%) reported gradual improvement with time. In those who claimed that CS had resolved, one described having CS on their trunk for around seven-months to a year, before it progressively resolved. The other two patients descibed having CS for more than a year which slowly improved and then resolved. There was a patient who described having CS at multiple locations including the trunk, abdomen and groin, and thigh but CS from the thigh had resolved after it occurred for a week, even though CS from other locations remained.
Patient satisfaction
In general, there was great satisfaction reported by patients with a median score of 7 (IQR=4). There was an ascending trend of frequency from the worst to excellent as shown below (Table 5). In this study, we took the value of 5 as neutral as explained to all patients before the administration of questionnaire.
Frequency, N | Percent, % | |
---|---|---|
Very unsatisfied (0 - 2) | 3 | 6.5 |
Unsatisfied (3 - 4) | 5 | 10.9 |
Neutral ( 5 ) | 9 | 19.6 |
Satisfied (6 - 8) | 13 | 28.3 |
Completely satisfied (9 - 10) | 16 | 34.8 |
Total | 46 | 100.0 |
Compensatiry sweating and patient satisfaction
We did not find any significant difference in satisfaction between the group of patients with CS and without CS (p=0.219) (Table 6).
CS, N (%) | p valuea | |||
Yes | No | |||
41 (89.1) | 5 (10.9) | |||
Overall satisfaction | Median (IQR) | 7.0 (10.0) | 9.0 (5.0) | 0.219 |
We noticed that comparing patients with mild to moderate (non-severe) CS with those who had severe CS, the satisfaction reported was highly and significantly lower in the latter group (p=0.001) (Table 7).
General QOL
In our study, 37 (80.4%) patients reported improvement in the general QOL after surgery, whereas 5 (10.9%) reported no changes with general QOL and 4 (8.7%) reported worse QOL after surgery. All four patients who reported worse general QOL after surgery had severe CS involving more than one location. It was demonstrated in this study that the improvement in the general QOL of patients after surgery was highly statistically significant (p<0.001) (Table 8).
Time point | p valuea | |||
Preoperative | Postoperative | |||
General QOL | Median (IQR) | 3.0 (9.0) | 7.0 (10.0) | <0.001* |
QOL improvement by domain
For comparison of QOL improvement in each of the four domains, the mean changes in score were adjusted to give an average improvement of score per question. It can be observed in Figure 3 below that all domains have demonstrated an increment in the median score for postoperative QOL, although it was not prominent in the axilla (p=0.087). Besides, the functional domain of hands had shown the greatest improvement as compared to other domains with average increment of 5.86 per question (p<0.001). This was followed by the social domain, which also showed substantial improvement with an average increment of 5.12 per question (p<0.001).
Summary of improvement in QOL
Table 9 summarizes the preoperative and postoperative median score for each question with its respective p value. It was noted that all domains had significant improvement in QOL score except for the axillary domain.
Functional domain | Preoperative score | Postoperative score | p valueb |
---|---|---|---|
Median (IQR) | Median (IQR) | ||
Palmar domain | |||
Writing? | 2.0 (6) | 10.0 (4) | <0.001* |
Typing on keyboard? | 2.0 (8) | 10.0 (5) | <0.001* |
Turning knobs or faucets? | 3.0 (10) | 9.0 (5) | <0.001* |
Driving car? | 3.5 (7) | 9.5 (5) | <0.001* |
Eating with fork and spoon? | 5.0 (10) | 9.0 (6) | <0.001* |
Wearing gloves? | 2.5 (6) | 9.0 (5) | <0.001* |
Grasping objects? | 2.0 (6) | 9.0 (5) | <0.001* |
Performing tasks? | 2.0 (6) | 9.0 (4) | <0.001* |
Engaging in sports? | 3.0 (7) | 9.0 (5) | <0.001* |
Soles domain | |||
Putting on socks/ stockings? | 2.0 (7) | 5.0 (10) | <0.001* |
Walking barefoot? | 2.0 (10) | 4.5 (10) | 0.008* |
Wearing sandals/ shoes? | 2.0 (10) | 4.0 (10) | 0.004* |
Performing tasks? | 3.0 (10) | 5.0 (10) | <0.001* |
Engaging in sports? | 3.0 (10) | 5.0 (10) | 0.001* |
Axilla domain | |||
Sweating from axilla? | 5.0 (10) | 5.0 (10) | 0.086 |
Changing clothes? | 5.0 (10) | 6.0 (10) | 0.253 |
Performing tasks? | 5.0 (10) | 6.0 (10) | 0.065 |
Social domain | |||
Shaking hands? | 1.0 (6) | 10.0 (3) | <0.001* |
Socialising in public? | 2.0 (10) | 8.0 (10) | <0.001* |
Hugging others? | 4.0 (10) | 7.0 (10) | 0.003* |
Personal domain | |||
Holding hands with partner? | 3.0 (9) | 9.0 (6) | <0.001* |
Attempts to initiate intimate contact? | 5.0 (10) | 6.0 (10) | <0.001* |
Psychological domain | |||
Body image? | 4.0 (9) | 6.0 (10) | 0.001* |
People acceptance? | 4.5 (10) | 7.0 (8) | <0.001* |
Confidence? | 3.0 (6) | 8.0 (10) | <0.001* |
Happiness? | 4.0 (10) | 8.0 (10) | <0.001* |
Satisfaction in daily activities? | 3.0 (10) | 7.0 (10) | <0.001* |
General well-being? | 4.0 (9) | 7.0 (8) | <0.001* |
Confidence to socialise? | 3.0 (7) | 8.0 (8) | <0.001* |
Table 10 summarizes the median score for each domain and its respective average increment in score per question and p values. This is followed by Table 11 that describes the change in QOL in each domain.
Time point | p valuea | |||
---|---|---|---|---|
Preoperative | Postoperative | |||
QOL _Hands | Median (IQR) | 26.5 (53) | 81.0 (37) | <0.001** |
QOL_Soles | Median (IQR) | 11.0 (40) | 24.5 (50) | <0.001** |
QOL_Axilla | Median (IQR) | 15.0 (30) | 17.5 (20) | 0.087 |
QOL_Social | Median (IQR) | 8.0 (20) | 24.0 (20) | <0.001** |
QOL_Personal | Median (IQR) | 7.5 (18) | 14.5 (15) | <0.001** |
QOL_Psychological | Median (IQR) | 25.0 (54) | 50.0 (53) | <0.001** |
Total sum of QOL
We also summed up the total score from all domains to compare the changes before and after surgery. Of all patients, only two (4.3%) had a reduction in the total QOL score, whereby the rest of them (95.7%) reported improvement in total QOL. By comparing the differences between the preoperative and postoperative total QOL score using paired t-test, there was a statistically significant difference (p<0.001), with a mean difference of 113.54 (SD=70.79, 95% CI=95.52 - 134.57) (Table 12).
Period | p valuea | Mean difference (95% CI) | |||
---|---|---|---|---|---|
Preoperative | Postoperative | ||||
Total QOL Score | Mean (SD) | 92.02 (52.13) | 205.57 (39.96) | <0.001* | 113.54 (92.52 - 134.57) |
Factors affecting QOL
To study the factors associated with QOL after surgery, selected variables were initially tested for their correlation with general and total QOL score using Spearman’s and Pearson’s correlation. It was noted that the severity of CS and number of location(s) involved in CS were significantly associated with both general and total QOL (Table 13).
General QOLa r | Total QOL Scoreb r | p value | |
---|---|---|---|
Occurrence of CS | -0.153 | -0.207 | 0.309a 0.167b |
Severity of CS | -0.543 | -0.310 | <0.001a *** 0.048b * |
Number of locations of CS | -0.465 | -0.331 | 0.002a ** 0.034b * |
Long term complications | 0.084 | -0.126 | 0.579a 0.403b |
It is interesting to note that when comparing the postoperative general QOL and total QOL between patients with CS and without CS, no significant difference was noted (p=0.303 and p=0.167 respectively) (Table 14). However, when we compared the general QOL reported by patients with non-severe CS and those with severe CS, there was a significantly lower general QOL reported by the latter (p<0.001) (Table 15). We also performed an analysis between the severity of CS with the total QOL score. By running an independent t-test, the results were consistent with the above analysis in which the mean total QOL score was noted to be significantly lower in the group with severe CS (Mean=217.17 vs 184.22, p=0.008) (Table 15).
Occurrence of CS, N (%) | Mean difference (95% CI) | p value | |||
---|---|---|---|---|---|
Yes 41 (89.1) | No 5 (10.9) | ||||
Postoperative General QOL | Median (IQR) | 7 (10) | 8 (4) | - | 0.303a |
Total QOL Score | Mean (SD) | 202.71 (40.33) | 229.00 (30.36) | 29.29 (-11.45 - 64.03) | 0.167b |
CS severity, N (%) | Mean difference (95% CI) | p value | |||
---|---|---|---|---|---|
Non-severe 24 (58.5) | Severe 17 (41.5) | ||||
Postoperative general QOL | Median (IQR) | 8.00 (7) | 5.00 (8) | - | 0.001**a |
Total QOL score | Mean (SD) | 217.17 (33.47) | 184.22 (41.63) | 32.95 (9.24 - 56.66) | 0.008*b |
Post-hoc Bonferroni was performed to improve the accuracy of such comparison. It was found that there was still a significant association between two factors (p=0.022) with a significant difference in mean total QOL reported between patients with moderate and severe CS (p=0.019) (Table 16).
Severity, N (%) | Mean total postoperative QOL score | p valuea | Mean difference (95% CI) |
---|---|---|---|
Mild 6 (14.6) | 207.00 | 0.022* | 36.54 (4.83 - 68.26)b |
Moderate 17 (41.5) | 220.76 | ||
Severe 18 (43.9) | 184.22 |
Another significant finding is with regard to the number of locations of CS. By using Kruskal-Wallis test, we noticed a significantly lower general QOL reported in patients with CS involving more than two locations, as compared with those involving one location or two locations (p=0.008). Post-hoc Dunn test had demonstrated, in particular, a significant difference in median score between patients with one location and more than two locations (p=0.024) (Table 17). As illustrated in Figure 4, we can see an obvious downward trend of the median general QOL score from ‘one location’ box to ‘two locations’ and to ‘more than two locations’.
Number of location(s), N (%) | Median general QOL (IQR) | p valuea |
---|---|---|
1 location 19 (46.3) | 8.0 (10.0) | 0.008* |
2 locations 15 (36.6) | 7.0 (6.0) | |
More than 2 locations 7 (17.1) | 5.0 (6.0) |
Similarly, we also ran a test to study the association between number of CS location(s) and total QOL. By using individual t-test, patients with more than two locations of CS reported significantly lower total QOL score as compared to those with one location of CS, with a mean difference of 39.48 (95% CI=4.44 - 74.52, p=0.029) (Table 18).
Number of CS Location(s) | p valuea | Mean difference (95% CI) | |||
---|---|---|---|---|---|
1 location | More than 2 | ||||
Total QOL score | Mean (SD) | 213.05 (39.97) | 173.57 (33.26) | 0.029* | 39.48 (4.44 - 74.52) |
Our study has demonstrated a significant improvement in the general QOL of patients postoperatively, which is in keeping with most of the literature that supports the effectiveness of ETS in improving the general QOL of patients with PHH.12,13,14,22,28,29,30,31,32,33 By summing up the total QOL score from all domains, we noticed 44 (95.7%) patients had an improvement in the total QOL score with a mean improvement of score of 113.54 (SD=70.79, 95% CI=95.52 - 134.57), supporting the overall effectiveness of ETS in improving QOL (p<0.001) (Table 12).
Among all domains that were asked in the questionnaire, functional domain of hands demonstrated the most profound improvement in QOL after the operation, as all patients (100%) reported an improvement in the QOL score after surgery, with a highest average improvement per question and mean score improvement of 53.48 (95% CI=46.91 - 60.04, p<0.001) (Tables 10 and 11). This further supports the effectiveness of ETS in resolving sweating from palms. Apart from the functional domain, all other domains had also shown significant improvement in the QOL score when compared to the preoperative state. However, for the functional domain of axilla, the improvement was not statistically significant (p=0.087) (Table 10). This can be explained by the majority occurrence of CS on the trunk which also had extended effect to the axillary region, leading to less QOL score given in this domain.
Overall satisfaction score was reported to be a median of 7 (IQR=4), with the most common cause of dissatisfaction being the occurrence of CS. As we compared satisfaction between non-severe CS and severe CS, there was significantly lower overall satisfaction in patients who had severe CS (Median=9.00 vs 5.00, p=0.001) (Table 13). However, the occurrence of CS alone was not found to have a profound impact on overall satisfaction (Table 14). This is because satisfaction also comprises other elements other than the outcome of surgery such as consultation, hospitalisation services and other services provided.
When we examined the relationship between CS and QOL, we noticed that the severity of CS had a significant impact on the general and total QOL score. Comparing patients with non-severe CS, patients with severe CS reported much lower general and total QOL score (p=0.001 and p=0.008 respectively) (Table 15). For greater accuracy, further analysis was run using one-way ANOVA. It was noted that there was still a significant association between the severity of CS and total QOL score after the operation with p=0.022. Patients who reported moderate CS had higher total QOL score than those with severe CS. (Mean difference=36.54, 95% CI=4.83 - 68.26, p=0.022) (Table 16).
Furthermore, patients with a lower number of location(s) involved in CS reported better general and total QOL score. By using the t-test, patients who had CS in a single location reported a significantly higher total QOL as compared to patients with more than two locations of CS, with a mean difference of 39.48 (95% CI=4.44 - 74.52, p=0.029) (Table 18). In short, even though we could not comment on the association between the occurrence of CS and QOL, we found significant association between both severity of CS and number of location(s) of CS with QOL score.
We also believe that there is a common assumption that CS will disappear or improve with time. However, Herbst et al34 did not agree with this assertion as from their study for over fourteen years, the authors concluded that up to 67% of patients still reported permanent CS without improvement. In our study, the majority of patients (82.9%) with CS had persistent CS without improvement. Only 9.8% of patients reported resolved CS over time, with gradual improvement of CS reported in 7.3% of patients. This is of course a higher rate of CS persistence if compared to the study by Herbst et al34 but of a shorter duration. The inconsistency of our data with the current literatures available with the lack of supporting literatures necessitates more studies to validate such assumptions.
One issue that must be discussed here is the relationship between CS and the extent or level of sympathectomy, which has been the subject of intense debate and controversies among surgeons. Although the optimal level of interruption and method of interruption remains debatable, it was suggested by The Society of Thoracic Surgeon expert consensus35 for the surgical treatment of hyperhidrosis that the optimal operation for palmar hyperhidrosis is a T3 interruption with cauterizing or clipping as it has been shown to result in close to 100% symptom resolution. However, it is also reasonable to approach for T4 interruption. The expert consensus35 also mentioned that interruption at T3 as compared with T4, poses a slightly higher risk of CS but provided better symptom resolution. Even though it is impossible to predict the risk of CS, avoiding interruption at T2 and limiting the extent of interruption are currently the best method to reduce the risk of CS.
We would summarize that studies with high reliability and strength have shown that higher interruption resulted in greater risk of complications36. Our centre, which carried out most surgeries involving T2 level, did not report any case of Horner’s syndrome and few cases of gustatory sweating in five (10.9%) patients. Amongst the 8.7% of patients who had T2 spared, all of them experienced CS as well. However, this interpretation is reserved with a marked limitation noted in our study as our centre performed surgical interruption at the level of T2-T3 in the majority of cases (78.3%) with a great portion of patients falling into the T2-involved group (91.3%). Besides, we could not yield a similar finding to those found in our previous study17 as our sample size is relatively small compared to previous studies. Furthermore, as this study is a continuation of the previous study17, different study populations used in the different studies may explain variations in the results. However, we believe that more surgeries sparing T2 should be carried out in order for further analysis on such association to be done.
After an extensive literature search, we found that most studies have investigated CS and QOL as two separate entities. Among the few literatures that associated CS with QOL, the findings were inconsistent with one another. And in consonant to what was claimed by Hajjar et al28 that there was no relationship between CS and postoperative QOL, our study did not find any significant relationship between the occurrence of CS itself and postoperative QOL as well (Table 14). This finding contradicted Dias et al14 who proposed that CS potentially worsens postoperative QOL. As we explored the effect of CS on QOL on other aspects, we found a significant association between QOL and severity of CS where poorer QOL was reported in patients who experienced severe CS (Tables 15 and 16). It was observed in certain cases that some patients had severe CS but reported a higher QOL than patients who had milder form of CS. This was because patients’ ability to tolerate CS is subjective and will affect the QOL that they perceived. This finding was entirely consistent with findings reportedly done by Leiderman et al12 and Wolosker et al16.
To date, we did not find any literature that has clearly demonstrated a relationship between the number of CS location(s) with QOL, not to mention that this factor might not be known to researchers. However, as described previously, we found a significantly lower postoperative QOL reported by patients in our study who had more than two locations involved in CS as compared to those with one location (Tables 17 and 18, and Figure 4). Therefore, we suggest the number of location(s) involved in CS to be considered as a confounder to postoperative QOL for future research. The clinical implication of this study is that with the high incidence of CS reported in this study and our previous study,17 which can be associated with the involvement of T2 resection, it may be proposed to our institute regarding reducing ETS surgery that involves T2 resection. This suggestion is backed by the literature, which claims that symptom resolution was not significantly different between T2-involved and T2-spared group, but incidence of CS was significantly higher in the T2-involved group26,36. In addition, the expert consensus35 of The Society of Thoracic Surgeons also supported the idea that ETS should avoid involving the T2 level as it may result in more complications and significantly higher risk of CS.
Given the relative rarity of this surgery with less than 15 cases performed per year at our institute, we believe a longer duration of such retrospective study is more effective in capturing a higher number of patients. However, there were a few limitations in this study. First of all, the study design requires inclusion of telephonic follow-up. As with any research that involves telephone follow-up, reaching all participants was a difficult and tedious process because of changed or disconnected numbers and hence a few patients were lost. In addition, since the data was pre-recorded, there may be inaccuracy and inadequacy with regards to the history and examination notes. Furthermore, as data was collected from a single centre, this may potentially introduce selection bias. In addition, as the QOL questionnaire was applied postoperatively, there was also a risk of recall bias. We have taken a few steps, as mentioned in Methods, that were carried out and strictly adhered in order to reduce recall bias. Additionally, Cronbach alpha reliability test was run and showed poor internal consistency for the questions in the personal domain, which might affect the analysis that involve total QOL score. Finally, as this study also looked into the occurrence of CS and factors affecting it, a small sample size in the group of patients without CS has limited our analysis related to the occurrence of CS.
This study has managed to answer the pre-set research questions, on the QOL of patients after ETS compared with that before, as well as the secondary question of whether or not CS affects QOL of patients. Our study has proven the effectiveness of ETS in providing sustained improvement of QOL after the surgery, with remarkable resolution of sweating from the palms. Furthermore, overall satisfaction was reportedly high and not affected by the presence of CS or other long-term complications. These findings on the efficacy of ETS is largely in coherence with many other studies37,38,39,40,41,42,43,44,45 that recognise ETS as an effective treatment for PHH with a good safety profile. With regards to CS, our institute reported a relatively high prevalence (89.1%) of the occurrence of CS, which can be attributed to two reasons. Firstly, the majority of our surgeries were performed involving the level of T2, which has been highly regarded by many researchers to increase the risk of CS and other complications. Secondly, as this rate is comparable to a study28 done in a desert climate country of Saudi Arabia which reported prevalence of 92%, hence leading us to think that a hot climate, like in our own country, could be a confounder to CS.
To answer the second research question, we found no significant association between the occurrence of CS and QOL of patients. However, we noticed a significant relationship between severity of CS and QOL. In addition, we discovered a potential relationship between the number of location(s) involved in CS and QOL. It is worth noting that such association has never been clearly described or studied in other research before, to the best of our knowledge. We hope that this study will provide a research background for future researchers to confirm the number of CS locations as a confounder to postoperative QOL. Knowing the inadequacy of our study due to the small sample size, we believe an extension of current study with inclusion of more patients with spared T2 will be able to provide more convincing answers to the many questions that were limited due to its sample size.
Harvard Dataverse. Replication Data for: Does endoscopic thoracic sympathectomy improve the quality of life of patients with primary hyperhidrosis? A single center retrospective review, https://doi.org/10.7910/DVN/REQ7Y746
This project contains the following underlying data:
Harvard Dataverse. Replication Data for: Does endoscopic thoracic sympathectomy improve the quality of life of patients with primary hyperhidrosis? A single center retrospective review, https://doi.org/10.7910/DVN/REQ7Y746
This project contains the following extended data:
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication).
The authors would like to extend our gratitude to the Senior Manager of the Clinical Research Department, National Heart Institute, Mr Mohd Faizal Ramli, and all the Clinical research staff, for their assistance in making this study possible.
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Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
References
1. Gregoriou S, Rigopoulos D, Makris M, Liakou A, et al.: Effects of botulinum toxin-a therapy for palmar hyperhidrosis in plantar sweat production.Dermatol Surg. 2010; 36 (4): 496-8 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Hyperhidrosis
Alongside their report, reviewers assign a status to the article:
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Version 1 23 Jan 21 |
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