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Article

Early Diagnosis of Amyloidosis and Cardiac Involvement through Carpal Tunnel Surgery and Predictive Factors

by
María del Carmen Navarro-Saez
1,
Carlos Feijoo-Massó
2,*,
Alex Berenguer Sánchez
3,
Tamara Parra Parente
4,
Laura Guillamon Toran
5,
Francesc Marcano-Fernández
3,
Jaume Camara-Cabrera
3,
Zully del Carmen Bravo Ferrer
6,
Ricard Comet Monte
2 and
Xavier Calvet Calvo
7
1
Acute Geriatric Unit and Infectious Diseases Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
2
Internal Medicine Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
3
Hand Surgery Unit, Orthopaedic Surgery Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
4
Pathology Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
5
Cardiology Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
6
Nuclear Medicine Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
7
Gastroenterology Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(15), 4328; https://doi.org/10.3390/jcm13154328
Submission received: 4 July 2024 / Revised: 15 July 2024 / Accepted: 23 July 2024 / Published: 24 July 2024
(This article belongs to the Section Cardiology)

Abstract

:
Background/Objectives: To determine the prevalence of amyloidosis through the analysis of synovial tissue and transverse carpal ligament (TCL) in patients undergoing surgery for carpal tunnel syndrome (CTS), detect predictive factors for the presence of amyloid, and assess cardiac involvement degree. Methods: A prospective study with longitudinal cohort follow-up at a teaching hospital. Patients undergoing CTS surgery from 1 January 2019 to 31 May 2021 were included. Samples from synovial and TCL tissues were examined for amyloid presence. Multivariate analysis was used to detect predictive factors of the presence of amyloid. Patients with amyloid underwent echocardiography, laboratory analyses, and scintigraphy. Results: Two hundred and forty-six patients were included. The prevalence of amyloid was 11.4% in TCL and 12.6% in synovial tissues. Age (p = 0.035; OR 1.123), bilateral CTS symptoms (p = 0.022; OR 3.647), and trigger finger (p < 0.001; OR 3.537) were predictors of the presence of amyloid. Seventeen patients were diagnosed with transthyretin amyloidosis (ATTR) located in the carpus (no scintigraphic cardiac uptake or grade 0), one with light chain amyloidosis, eight with ATTR with cardiac involvement (grades 2–3), and five with ATTR in the carpus and scintigraphic uptake grade 1 (with normal echocardiogram and blood and urine tests). Conclusions: We detected amyloid in 12.6% of unselected consecutive patients who underwent CTS surgery. Biopsy in patients with CTS for amyloid detection, especially in elderly patients with bilateral symptoms and trigger finger, may be useful for the early diagnosis of amyloidosis, primarily due to transthyretin.

1. Introduction

Amyloidosis is a disease in which the abnormal folding of certain proteins affects the way they are deposited, causing structural and functional alterations in the involved organ. The type of precursor protein determines the amyloid subtype and also the organs affected [1,2].
The most common presentations are light chain amyloidosis, secondary amyloidosis, in which the precursor protein is protein A, amyloidosis secondary to hemodialysis, beta-2-microglobulin as the precursor protein, and amyloidosis produced by transthyretin deposition (ATTR), either via mutations or in its wild-type form.
Immunoglobulin light chains and transthyretin are two types of proteins that accumulate primarily in the myocardium, prompting complications such as heart failure or death [3].
Immunoglobulin light chains and transthyretin are the two types of proteins which primarily accumulate in the myocardium. In amyloidosis with cardiac involvement, cardiac symptoms usually appear in advanced stages of the disease, leading to later diagnosis and poor prognosis [4].
Cardiac amyloidosis presents with symptoms such as heart failure, arrhythmias, and conduction abnormalities. Echocardiography plays a vital role in differentiating various causes underlying the hypertrophic phenotype. Both standard and advanced echocardiographic techniques, including strain imaging, offer valuable insights for establishing an accurate diagnosis [5,6].
Classically, a definite diagnosis of cardiac amyloidosis required a mandatory histological confirmation. Currently, ATTR can also be diagnosed by excluding the presence of light chains in blood and urine added to confirmatory technetium-99m-labelled 3,3-diphosphono-1,2-propanodicarboxylic acid (99mTc-DPD) scintigraphy with myocardial uptake [7,8].
The treatment of amyloidosis varies according to its type, and its prognosis depends on the degree of cardiac involvement at the time of diagnosis. Prompt identification of cardiac amyloidosis is important because treatments have been shown to be effective in early stages of the disease [9,10,11]. In addition to myocardial deposition, a significant proportion of patients with cardiac amyloidosis show soft tissue deposition, which leads to manifestations such as lumbar canal stenosis, biceps tendon rupture, and bilateral carpal tunnel syndrome (CTS). Diagnosis is usually made when heart failure is already advanced; therefore, it is important to be alert to certain red flags that appear at earlier stages of the disease [12,13].
CTS is considered a “red flag” and precedes cardiac involvement by 5–9 years [12,13,14]. CTS is caused by the compression of the median nerve in the wrist. It is the most common peripheral focal neuropathy in the general population (prevalence of 1–5%). It may have various causes, including amyloidosis, but the most common is idiopathic [14]. Its treatment is usually based on surgical release of the median nerve by sectioning the structure that covers it, the transverse carpal ligament (TCL).
CTS is a common finding among patients with cardiac amyloidosis, especially if it is bilateral (38–48% of patients with wild-type ATTR, and 8–13% of patients with light chain-related amyloidosis) [15,16,17,18,19]. CTS is the initial manifestation in 20–25% of cases of cardiac amyloidosis [20,21]. Given that CTS precedes cardiac and systemic amyloidosis by several years, it can be used as an early marker to identify patients with cardiac involvement. Additionally, in patients with amyloidosis located in the carpus without cardiac involvement, the proportion that will develop cardiac amyloidosis in the future is unknown.
The main objective of this study was to determine the prevalence of amyloidosis through analysis of synovial tissue and TCL in patients undergoing carpal tunnel release surgery. Moreover, we aimed to identify predictive factors for the presence of amyloid and assess the degree of cardiac involvement in patients with amyloid deposition in the synovial tissue.

2. Materials and Methods

This prospective study, with longitudinal cohort follow-up, was carried out at the Parc Taulí University Hospital in Sabadell (Barcelona, Spain), a third-level teaching hospital.
The research was conducted by a multidisciplinary group of internal medicine specialists, radiologists, pathologists, cardiologists, and orthopedic surgeons specializing in hand surgery. All patients were informed before agreeing to participate in the study and provided signed informed consent before surgery.
Consecutive patients who underwent CTS surgery at our center were included. The inclusion period was from 1 January 2019, to 31 May 2021. All patients had a clinical and electromyographic diagnosis of CTS. Furthermore, all patients were non-responders to conservative treatment.
Patients underwent surgery using the mini-open technique on the axis of the fourth finger and the longitudinal section of the TCL at the most ulnar margin. After the release of the median nerve and flexor tendons, two samples were obtained (one from a segment of the ligament parallel to the opening on its radial side, and another from a segment of the synovial membrane on the superficial flexor tendon of the ring finger identified through active mobilization by the patient). The skin was closed with monofilament sutures and a semi-compressive bandage was applied in all cases.
Samples from synovial tissue and CTL were studied. Synovial and CTL tissue samples were fixed in formalin, embedded in paraffin, and stained with hematoxylin and eosin. We employed a two-pronged approach, as follows: Congo red staining with permanganate pretreatment for a rapid and low-cost initial assessment, and immunohistochemistry for definitive confirmation A histochemical study was performed on each sample using Congo red with permanganate pretreatment and Congo red permanganate staining. An immunohistochemical study was also conducted with anti-amyloid A antibody (mc1, Diagnostic BioSystems, Pleasanton, CA, USA), anti-kappa chain (A21Y, Roche, Basel, Switzerland), anti-Lambda chain (K22Y, Roche), and anti-transthyretin (Polyclonal, Dako, Glostrup, Denmark) (Figure 1).
The previous medical history of patients was documented, as well as a physical exam performed before CTL surgery. The Charlson Comorbidity Index was used to account for the potential impact of comorbid conditions.
After obtaining the histopathological results, patients with evidence of amyloid deposition in the tenosynovial tissue and/or CTL underwent additional testing, including electrocardiography, blood and urine tests, echocardiography, and 99mTc-DPD scintigraphy, to assess the degree of cardiac involvement and to confirm the diagnosis of amyloidosis
Echocardiography was performed by a dedicated cardiologist with expertise in echocardiography using a Philips EPIQ 7C Digital Ultrasound System. Images were processed using the Intellispace Cardiovascular software version 4.2 (Philips Healthcare, Andover, MA, USA). The following parameters were analyzed: ventricular diameter, left ventricular wall thickness, left atrial volume, right atrial area, left and right ventricular function parameters, diastolic function, and transvalvular flow. Left ventricular longitudinal strain was also analyzed in 4-chamber, 2-chamber, and 3-chamber planes using AutoStrain LV software version 5.0 (Philips Healthcare). All of these items were assessed in accordance with the European Society of Cardiovascular Imaging and American Society of Echocardiography guidelines [22,23].
The nuclear medicine tests were performed using a Symbia Intevo double-head gamma camera (Siemens, Munich, Germany) with the following parameters: full-body images, LEHR collimator, 512 × 256 matrix, 3000 Kc; planar images of the thorax, LEHR collimator, 256 × 256 matrix, and 1000 Kc.99m. The 99mTc-DPD was infused intravenously, giving a total radiation dose of 925 megabecquerels. Full body images were obtained in anterior and posterior projections or selective images of the thorax in anterior projections, and in some cases in left anterior and left lateral oblique projections of 45° over the following two–three hours. A single radiologist and cardiologist interpreted the images. The diagnosis of myocardial uptake was defined according to the Perugini visual scale, which assesses the uptake of both ventricles compared to the adjacent rib. Grades 1 (less than rib uptake), 2 (same as rib uptake) and grade 3 (greater than rib uptake) were considered as a positive uptake [6].
The study was approved by the hospital’s ethics board (2019/677) and adhered to the Declaration of Helsinki principles. The original RCT was registered in ClinicalTrials.gov with registry identifier NCT04245098. The hospital and the ethics committee decided to assume the additional cost of the initial amyloid detection analysis (hematoxylin/eosin and Congo Red stain) due to its low cost.

Statistical Analysis

Qualitative variables are expressed as percentages with their confidence intervals. Continuous variables are expressed as the mean ± standard deviation (SD). For the age variable, the median and 25th and 75th percentiles were used because their distribution was not normal. To determine the ability to discriminate between the diagnosis of amyloidosis and age, a receiver operating characteristic (ROC) curve was constructed, and the cut-off point for age with the greatest sensitivity and specificity was determined using the area under the curve and Youden index. Univariate comparisons between groups (patients with or without amyloid) were performed using the Chi-square test or Fisher’s exact test, depending on the nature of the variable investigated. Age was compared using the Mann–Whitney U test. Variables with p < 0.20 on univariate analysis were selected for inclusion in a multivariate logistic regression model. From the final logistic models, the odds ratios (ORs) and their 95% confidence intervals (CIs) for each variable are shown. Statistical significance was established at p < 0.05. The analyses were performed with the statistical program IBM® SPSS® version 28.

3. Results

3.1. Baseline Features and Presence of Amyloid

Two hundred forty-six patients were included in the study. CTL and synovial membrane samples were obtained from all the patients. The mean age was 60.2 years old, and 158 (64.23%) were women.
The most prevalent comorbidities in the patients were hypertension (130 patients, 52.85%), history of smoking (79, 32.11%), dyslipidemia (76, 30.89%), and diabetes mellitus (46, 18.70%).
In 134 patients (54.47%), a cause associated with carpal tunnel syndrome was detected, as follows: work history associated with CTS in 124 (50.41%), alcoholism in 14 (5.69%), hypothyroidism in 14 (5.69%), and connective tissue disease in 5 (2.03%).
Regarding the clinical factors associated with CTS, 151 patients (61.38%) underwent surgery on the right side, 60 (24.39%) had a history of contralateral surgery, and 27 (10.98%) had a trigger finger. No complications occurred following the surgical procedure.
Amyloid material was detected in CTL in 28 patients (11.38%) and in 31 (12.60%) synovial membrane samples. Amyloid was detected only in the synovial membranes of three patients.
Regarding immunohistochemistry, all patients were positive for transthyretin, except one, who was resistant to permanganate, positive for lambda light chains, and negative for kappa and amyloid A.

3.2. Characteristics of Patients with Amyloid in the Biopsy

Amyloid material was detected in 28 of the 88 patients aged >65 years (31.82%).
The baseline demographic characteristics, comorbidities, and pharmacological treatment of all 246 patients according to the presence (n = 31, 12.6%) or absence (n = 215, 87.4%) of amyloid in the synovial membrane biopsy are shown in Table 1. Patients with a positive biopsy were older (median age 58.04 years vs. 75.39, p < 0.001). The cut-off point identified by the Youden index (0.694) that simultaneously maximized the sensitivity (0.903) and specificity (0.721) was 64.50 years. Differentiating by sex, the cut-off point in men was 69.50 years (Youden 0.678, sensitivity 0.875 and specificity 0.803) and in women 64.50 years (Youden 0.618, sensitivity 0.933 and specificity 0.685). Although the presence of amyloid was more frequent in males, there were no significant differences in our cohort in terms of sex.
The receiver operating characteristic (ROC) curve for age as a predictor of amyloid positivity in carpal tunnel syndrome patients undergoing synovial membrane biopsy is shown in Figure 2.
The group with the presence of amyloid presented higher rates of heart failure (19.6% vs. 0%, p = 0.001), hypertensive heart disease (9.7% vs. 0.5%, p < 0.001), narrow lumbar canal (12.9% vs. 2.8%, p < 0.008), and atrial fibrillation (9.7% vs. 2.3%, p = 0.031). No differences were observed in the rest of the comorbidities.
The clinical characteristics of CTS, the possible etiologies and the size of the biopsies according to the presence or absence of amyloid are shown in Table 2. No differences were observed in terms of whether the right or left side was operated on, whether the intervention was on the dominant or non-dominant hand, or the time between the onset of symptoms and surgery.
The following possible etiologies of CTS were evaluated: thyroid pathology, DM, acromegaly, work history associated with CTS, connective tissue diseases, acute trauma, alcoholism, diagnosis of b12 deficiency, pregnancy, and treatment with anovulatory and neurotoxic drugs (isoniazid, antabuse, amiodarone, metronidazole, and cytostatics). No statistically significant differences were found between the groups.
Patients with amyloid in the biopsy presented with more bilateral CTS symptoms (87.1% vs. 65.6%, p = 0.016), more previous contralateral carpal surgery (41.9% vs. 29.9%, p = 0.015), and more trigger finger (29.9% vs. 8.4%) p < 0.001). Regarding the size of the extracted biopsy, no differences were observed in either CTL or synovial membrane.
Patients with amyloid on biopsy underwent additional laboratory tests, echocardiography, and cardiac scintigraphy. The characteristics of these patients, differentiated according to the presence or absence of myocardial uptake on scintigraphy, are presented in Table 3.
Of these 31 patients, 13 (41.94%) presented with some degree of myocardial uptake and 18 (58.06%) did not. Of the 13 patients with myocardial uptake, 5 (38.46%) presented grade I, 3 grade II and 5 (38.46%) grade III.
The group with cardiac uptake were older (80.46 ± 6.85 vs. 71.72 ± 12.16 years) and presented higher rates of heart failure (46.15% vs. 0%), arterial hypertension (76.92% vs. 33.33%), and atrial fibrillation (23.08% vs. 0%). N-terminal ProBNP levels were higher in patients with cardiac uptake (675.62 ± 998.86 pg/mL vs. 159.30 ± 143.61 pg/mL). Echocardiographic findings showed that the cardiac uptake group had a higher prevalence of increased left ventricular wall thickness (46.15% vs. 17.67%) and low ejection fraction (15.38% vs. 5.56%). There were also more cases of diastolic alteration in the cardiac uptake group (69.23% vs. 11.11%). The prevalence of aortic stenosis was slightly higher in the cardiac uptake group (7.69% vs. 5.56%). No differences were observed in other comorbidities such as diabetes mellitus, spinal lumbar stenosis, and trigger finger.
After completing the supplementary investigations, 17 patients were diagnosed with amyloidosis due to transthyretin located in the carpus (no scintigraphic cardiac uptake or grade 0); 1 with immunoglobulin light chain amyloidosis; 8 with ATTR with cardiac involvement (grade 2–3); and 5 with transthyretin amyloidosis in the carpus presenting grade 1 scintigraphic uptake, without abnormalities on laboratory tests or echocardiogram. None of the patients had a transthyretin-associated mutation.
The individual characteristics of patients with myocardial uptake and echocardiogram values are shown in Table 4.

3.3. Predictors of the Presence of Amyloid in the Biopsy

All demographic factors, comorbidities, etiological factors, and clinical factors presented in Table 1 and Table 2 were assessed as potential predictors of the presence of amyloid in the biopsy. Factors with p values below 0.20 were age, male sex, heart failure, atrial fibrillation, valvular heart disease, hypertensive heart disease, treatment with diuretics, digoxin, anticoagulants, a narrow lumbar canal, bilateral CTS symptoms, previous surgery of the contralateral carpus, and trigger finger.
In the multivariate analysis, the following independent predictors of amyloid were detected: age (p = 0.035 OR 1.123, 1.076–1.172), bilateral CTS symptoms (p = 0.022 OR 3.647, 1.093–12.168), and trigger finger (p < 0.001 OR 3.537, 1.204–10.392) (Table 5).

4. Discussion

We report a large sample of patients undergoing carpal tunnel surgery, in whom biopsies of the CTL and synovial membrane were performed for the detection of amyloid. Amyloid was detected in 12.6% of biopsies. Most patients had ATTR without cardiac involvement. Age, bilateral symptoms, and trigger finger were independent predictors of a positive biopsy result.
Previous studies analyzing the presence of amyloid material during CTS surgery have reported variable rates, ranging from 2.3% to 56%. The main reason for this difference is the heterogeneity of the cohorts, mainly due to the age, race, and sex of the included patients [24,25,26,27,28,29,30,31,32].
The prevalence of amyloidosis increases with age, but previous research has not established a cut-off point to indicate the age at which CTS biopsies should be performed to detect the presence of amyloid. In our study, we identified age as a significant predictor of amyloid in carpal tunnel syndrome patients undergoing synovial membrane biopsy. Employing the Youden index, we identified an age cut-off of 64.5 years for amyloidosis detection. At this cut-off, sensitivity and specificity were 90.3% and 72.1%, respectively. The area under the ROC curve (AUC) was 0.843, indicating moderate discriminatory power. These data suggest that assessing biopsy according to age (alone or in combination with other factors) could be useful to optimize the diagnostic yield for amyloid in patients in patients undergoing carpal tunnel surgery.
There are no guidelines regarding the type of tissue that should be biopsied for amyloidosis diagnosis. Some authors have suggested a higher prevalence of amyloid in the carpal tunnel ligament than in the synovial membrane [28]. In our study, both tissues were biopsied from each patient, and a slightly higher frequency of amyloid deposits was found in the synovial membrane. Therefore, obtaining samples from both tissues in a standardized manner may be beneficial for a more comprehensive diagnosis, particularly when considering the potential variability in amyloid deposition.
Additionally, immunohistochemical staining revealed that the vast majority of biopsies were positive for transthyretin. This finding highlights the predominance of ATTR amyloidosis in our patient population.
A history of bilateral symptoms or bilateral carpal tunnel release surgery was considered as a red flag. Some studies suggest that a history of previous surgery on the contralateral carpus is more frequent in patients with the presence of amyloid [24]. Our data suggest the presence of clinical symptoms that demonstrate this association. Therefore, bilateral clinical CTS should be considered an alarm sign in this population.
Flexor-stenosing tenosynovitis (also known as trigger finger) is also common in patients with amyloidosis. The prevalence of amyloid in patients with trigger finger is variable, ranging between 2% and 65% [33,34,35,36]. According to our data, when trigger finger occurs concomitantly with CTS, it is a predictor of the presence of amyloid that clinicians should consider.
Our findings are relevant because, in this prospective study with a relatively large cohort, we were able to show the prevalence of amyloid in CTS of 12.6% of patients undergoing CTS surgery. If not performed as a standardized protocol, additional pathology examinations and clinical investigations could be considered in patients with CTS presenting any of the risk factors for the presence of amyloid (age > 64.5 years and/or bilateral symptoms and/or trigger finger). This could lead to an earlier diagnosis of amyloidosis and the earlier introduction of effective therapies that delay the development of end-stage cardiac disease.

Study Limitations

Among the limitations of our study, our patients were only Caucasian, single proton emission computerized tomography/computerized tomography imaging was not included, and there was no long-term follow-up. Otherwise, this is the largest series of patients with a systematic prospective recruitment protocol that also identifies predictors of amyloid presence.

5. Conclusions

We detected amyloid in 12.6% of unselected consecutive patients who underwent CTS surgery. Biopsy in patients with CTS for amyloid detection, especially in elderly patients with bilateral symptoms and trigger finger, may be useful for the early diagnosis of amyloidosis, primarily due to transthyretin.

Author Contributions

Conceptualization, M.d.C.N.-S. and C.F.-M.; methodology, M.d.C.N.-S. and C.F.-M.; software, M.d.C.N.-S. and C.F.-M.; validation, M.d.C.N.-S. and C.F.-M.; formal analysis, M.d.C.N.-S. and C.F.-M.; investigation, M.d.C.N.-S., C.F.-M. and R.C.M.; resources, M.d.C.N.-S. and C.F.-M.; data curation, M.d.C.N.-S. and C.F.-M.; writing—original draft preparation, M.d.C.N.-S. and C.F.-M.; writing—review and editing, M.d.C.N.-S., C.F.-M., A.B.S., T.P.P., L.G.T., F.M.-F., J.C.-C., Z.d.C.B.F., R.C.M. and X.C.C.; visualization, M.d.C.N.-S. and C.F.-M.; supervision, R.C.M. and X.C.C.; project administration, M.d.C.N.-S. and C.F.-M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was approved by Parc Taulí Hospital Universitari’s ethics board (2019/677, 8 December 2019) and adhered to the Declaration of Helsinki principles. The original RCT was registered in ClinicalTrials.gov with registry identifier NCT04245098.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The authors confirm that the data supporting the findings of this study are available within the article.

Acknowledgments

This manuscript was written as part of the PhD program in Medicine at the Autonomous University of Barcelona (Bellaterra, Spain).

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Biopsy of ligament (10×): hematoxylin–eosin (A) Congo-red positive (B) and Congo-red permanganate positive (C); apple green birefringence of amyloid deposit with polarized light (D) Biopsy of synovial membrane (10×): hematoxylin–eosin (E) Congo-red positive (F) and Congo-red permanganate positive (G), positive immunohistochemical study for anti-transthyretin antibodies (H). The meaning of the arrows is where it marks positivity for the stains described in the caption.
Figure 1. Biopsy of ligament (10×): hematoxylin–eosin (A) Congo-red positive (B) and Congo-red permanganate positive (C); apple green birefringence of amyloid deposit with polarized light (D) Biopsy of synovial membrane (10×): hematoxylin–eosin (E) Congo-red positive (F) and Congo-red permanganate positive (G), positive immunohistochemical study for anti-transthyretin antibodies (H). The meaning of the arrows is where it marks positivity for the stains described in the caption.
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Figure 2. Receiver operating characteristic (ROC) curve for age as a predictor of amyloid positivity in carpal tunnel syndrome patients undergoing synovial membrane biopsy. (AUC = Area under curve).
Figure 2. Receiver operating characteristic (ROC) curve for age as a predictor of amyloid positivity in carpal tunnel syndrome patients undergoing synovial membrane biopsy. (AUC = Area under curve).
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Table 1. Baseline characteristics, comorbidities and pharmacological history.
Table 1. Baseline characteristics, comorbidities and pharmacological history.
No Amyloid (n = 215)Amyloid (n = 31)p Value
Demographic data
Age (years ± SD)58.04 ± 12.64 E 0.86275.39 ± 11.041 E 1.983p < 0.001 *
Gender: female/male142 (66%)/73 (34%)16 (51.6%)/15 (48.4%)0.117 *
Weight (kg ± SD)75.93 ± 13.7773.171 ± 10.63 E 1.9090.285
Height (M)1.64 ± 0.0891.63 ± 0.00840.624
Body mass index28.13 ± 4.63 E 0.31527.49 ± 3.85 E 0.690.437
Comorbidities
Smoking history72 (33.49%)7 (22.58%)0.224
Diabetes mellitus41 (19.5%)5 (16.1%)0.695
Arterial hypertension111 (51.6%)19 (61.3%)0.314
Chronic obstructive pulmonary disease18 (8.4%)2 (6.5%)0.715
Heart failure0 (0%)6 (19.4%)<0.001 *
Valvular heart disease3 (1.4%)2 (6.5%)0.062 *
Ischemic heart disease12 (5.6%)1 (3.2%)0.584
Hypertensive heart disease1 (0.5%)3 (9.7%)<0.001 *
Stroke8 (3.7%)1 (3.2%)0.891
Peripheral vasculopathy24 (11.2%)5 (16.1%)0.423
Dyslipidemia65 (30.2%)11 (35.4%)0.554
Non-metastatic neoplasm6 (2.8%)2 (6.5%)0.283
Metastatic neoplasm7 (3.3%)0 (0%)0.308
Renal insufficiency7 (3.3%)1 (3.2%)0.993
Spinal lumbar stenosis6 (2.8%)4 (12.9%)0.008 *
Atrial fibrillation5 (2.3%)3 (9.7%)0.031 *
Charlson0.930.870.841
Drugs
Angiotensin-converting enzyme inhibitors83 (38.6%)14 (45.4%)0.485
Angiotensin II receptor antagonists27 (12.6%)5 (16.1%)0.581
Calcium antagonists19 (8.8%)3 (9.7%)0.878
Thiazides27 (12.6%)7 (22.6%)0.131
Beta blockers10 (4.7%)2 (6.5%)0.664
Acetylsalicylic acid9 (4.2%)2 (6.5%)0.568
Digoxin1 (0.5%)1 (3.2%)0.11 *
Anticoagulants8 (3.7%)4 (12.9%)0.026 *
Furosemide8 (3.7%)5 (16.1%)0.004 *
* Variables included in the multivariate analysis.
Table 2. Clinical factors, comorbidities and biopsy associated with carpal tunnel syndrome.
Table 2. Clinical factors, comorbidities and biopsy associated with carpal tunnel syndrome.
No Amyloid (n = 215)Amyloid (n = 31)p Value
Causes of carpal tunnel syndrome
Alcoholism14 (6.5%)0 (0%)0.143
Hypothyroidism13 (6%)1 (3.2%)0.526
Associated work history107 (49.8%)17 (54.8%)0.598
Connective tissue disease5 (2.3%)0 (0%)0.391
Acute trauma2 (0.9%)0 (0%)0.59
Clinical factors associated with CTS
Side: right/left131 (60.9%)/84 (39.1%)20 (64.5%)/11 (35.5%)0.701
Dominant hand intervened173 (80.5%)24 (77.4%)0.691
Bilateral clinical symptoms141 (65.6%)27 (87.1%)0.016 *
History of contralateral surgery47 (29.9%)13 (41.9%)0.015 *
Trigger finger18 (8.4%)9 (29.9%)p < 0.001 *
* Variables included in the multivariate analysis.
Table 3. Characteristics of patients with the presence of amyloid in the biopsy classified according to the presence or absence of cardiac uptake in scintigraphy.
Table 3. Characteristics of patients with the presence of amyloid in the biopsy classified according to the presence or absence of cardiac uptake in scintigraphy.
No Uptake (n = 18)Uptake (n = 13)
Demographic data
Age (years ± SD)71.72 ± 12.1680.46 ± 6.85
Gender: female/male10 (55.56%)/8 (44.44%)6 (46.15%)/7 (53.85%)
Comorbidities
Diabetes mellitus3 (16.67%)2 (15.38%)
Arterial hypertension9 (50%)10 (76.92%)
Heart failure0 (0%)6 (46.15%)
Spinal lumbar stenosis3 (16.67%)1 (7.69%)
Atrial fibrillation0 (0%)3 (23.08%)
Charlson0.56 ± 0.711.31 ± 1.18
Clinical factors associated with STC
Side: right/left11 (61.11%)/7 (38.89%)9 (69.23%)/4 (30.77%)
Bilateral clinical symptoms17 (94%)10 (76.92%)
History of contralateral surgery7 (38.89%)6 (46.15%)
Trigger finger6 (33.33%)3 (23.08%)
Time of onset until surgery (days)1782.44 ± 1606.111939.77 ± 1276.23
Electrocardiogram
Atrial fibrillation0 (0%)3 (23.08%)
Right bundle branch block0 (0%)1 (7.69%)
Left bundle branch block0 (0%)1 (7.69%)
Analytical values
Hemoglobin (g/L)138.83 ± 13.738136 ± 16.907
Creatinine (mg/dL)0.83 ± 0.2161.00 ± 0.39
Sodium (mEq/L)140.33 ± 2.19141 ± 1.96
Potassium (mEq/L)4.55 ± 0.344.3 ± 0.35
N-terminal ProBNP (pg/mL)159.50 ± 143.61695.62 ± 998.96
Troponin T u.s (ng/L)14.15 ± 9.1923.85 ± 17.95
Monoclonal immunoglobulin 1 (5.56%)0 (0%)
Positive genetic test0 (0%)0 (0%)
Echocardiogram
Left ventricular wall thickness ≥ 12 mm3 (17.67%)6 (46.15%)
Low ejection fraction (<50)1 (5.56%)2 (15.38%)
Diastolic alteration2 (11.11%)9 (69.23%)
Aortic stenosis1 (5.56%)1 (7.69%)
Grade of myocardiac uptake on scintigraphy
Grade 018 (100%)0 (0%)
Grade 10 (0%)5 (38.46%)
Grade 20 (0%)3 (23.08%)
Grade 40 (0%)5 (38.46%)
Table 4. Individual characteristics of the patients with myocardial uptake and the echocardiogram parameters.
Table 4. Individual characteristics of the patients with myocardial uptake and the echocardiogram parameters.
Patient12345678910111213
Age83848182926677838682857273
GenderFemaleMaleFemaleFemaleMaleMaleMaleFemaleMaleFemaleMaleFemaleMale
Cardiac biomarkers
Pro Bnp2351574484442846105286200278867126369206
Troponin20112420561234116210321517
EKG
RhythmSinusSinusSinusSinusAFSinusSinussinusSinusSinusSinusAFSinus
Altered conductionNoNoNoNoRBBBNoNoNoLBBBNoNoNoNo
ECHO parameters
VST (mm)1.221.031.071.031.621.151.251.011.471.151.481.091.33
LVPW (mm)1.200.920.980.961.480.880.930.9310.891.341.161.27
LVEF (%)6060.46060556560603263656563
Diastolic stage1Normal22NANormal223NA2NANormal
LAV (L/m2)38.627.948.549.543.730.245.742.251.227.234.537.418.8
E/A VM0.770.600.710.700.730.820.701.262.50.560.810.730.61
Average E/e’12.656.613.213.417.756.3514.614.1520.713.2514.0510.98.05
Overall strain value−18−19.4−21.7−21.9−12.5−21−21.9−23−5NA−18.8−15−21
Valvular involvementNoNoNoNoNoAortic stenosisNoAortic stenosisAortic stenosisNoAortic stenosisNoNo
Scintigraphy (Grade of uptake)3111333221321
EKG: electrocardiogram, ECHO: echocardiogram, VST: ventricular septal thickness, LVPW: left ventricular posterior wall, LVEF: left ventricular ejection fraction, LAV: left atrial volume, E/A VM: transmitral flow ratio, NA: not assessed AF: atrial fibrillation LBBB: left bundle branch block RBBB: right bundle branch block.
Table 5. Predictive factors of positive biopsy for amyloid.
Table 5. Predictive factors of positive biopsy for amyloid.
p ValueOdds Ratio
Age0.0351.123 (1.076–1.172)
Bilateral symptoms0.0223.647 (1.093–12.168)
Trigger fingerp < 0.0013.537 (1.204–10.392)
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Navarro-Saez, M.d.C.; Feijoo-Massó, C.; Berenguer Sánchez, A.; Parra Parente, T.; Guillamon Toran, L.; Marcano-Fernández, F.; Camara-Cabrera, J.; Bravo Ferrer, Z.d.C.; Comet Monte, R.; Calvet Calvo, X. Early Diagnosis of Amyloidosis and Cardiac Involvement through Carpal Tunnel Surgery and Predictive Factors. J. Clin. Med. 2024, 13, 4328. https://doi.org/10.3390/jcm13154328

AMA Style

Navarro-Saez MdC, Feijoo-Massó C, Berenguer Sánchez A, Parra Parente T, Guillamon Toran L, Marcano-Fernández F, Camara-Cabrera J, Bravo Ferrer ZdC, Comet Monte R, Calvet Calvo X. Early Diagnosis of Amyloidosis and Cardiac Involvement through Carpal Tunnel Surgery and Predictive Factors. Journal of Clinical Medicine. 2024; 13(15):4328. https://doi.org/10.3390/jcm13154328

Chicago/Turabian Style

Navarro-Saez, María del Carmen, Carlos Feijoo-Massó, Alex Berenguer Sánchez, Tamara Parra Parente, Laura Guillamon Toran, Francesc Marcano-Fernández, Jaume Camara-Cabrera, Zully del Carmen Bravo Ferrer, Ricard Comet Monte, and Xavier Calvet Calvo. 2024. "Early Diagnosis of Amyloidosis and Cardiac Involvement through Carpal Tunnel Surgery and Predictive Factors" Journal of Clinical Medicine 13, no. 15: 4328. https://doi.org/10.3390/jcm13154328

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