Quality of Life in Patients with Acromegaly before and after Transsphenoidal Surgical Resection

Patient-reported outcomes in refractory hormone-producing pituitary adenomas: an unmet need

PURPOSE

To describe quality and outcomes of patient-reported outcome (PRO) measures (PROMs) used in patients with refractory hormone-producing pituitary adenomas, and to provide an overview of PROs in these challenging pituitary adenomas.

METHODS

Three databases were searched for studies reporting on refractory pituitary adenomas. For the purpose of this review, refractory adenomas were defined as tumors resistant to primary therapy. General risk of bias was assessed using a component approach and the quality of PROM reporting was assessed using the International Society for Quality of Life Research (ISOQOL) criteria.

RESULTS

20 studies reported on PROMs in refractory pituitary adenomas, using 14 different PROMs, of which 4 were disease specific (median general risk of bias score: 33.5% (range 6-50%) and ISOQOL score: 46% (range 29-62%)). SF-36/RAND-36 and AcroQoL were most frequently used. Health-related quality of life in refractory patients (measured by AcroQoL, SF-36/Rand-36, Tuebingen CD-25, and EQ-5D-5L) varied greatly across studies, and was not always impaired compared to patients in remission.

CONCLUSION

There is a scarcity of data on PROs in the subset of pituitary adenomas that is more difficult to treat, e.g., refractory and these patients are difficult to isolate from the total cohort. The patients' perspective on quality of life, therefore, remains largely unknown in refractory patients. Thus, PROs in refractory pituitary adenomas require adequate analysis using properly reported disease specific PROMs in large cohorts to enable appropriate interpretation for use in clinical practice.

Questionnaire and tools: clinical powerful instrument in acromegaly diagnosis and management

PURPOSE

Acromegaly is a rare chronic disease characterized by systemic comorbidity and reduced quality of life. Although achieving biochemical control has always been the primary goal of acromegaly therapy, recent evidence has shown that the traditional assessment does not adequately capture the complexity of symptoms and patients' perception. These findings result in the need to improve a fast decision-making process of the clinician, who should not only take into account biochemical-instrumental criteria, but also patients' symptoms. With the aim of supporting the clinician in the diagnostic and therapeutic decision-making process several disease-specific tools have been developed. The aim of this review is to provide a description of the acromegaly-specific tools, presenting their main features, their application in daily practice, and their efficacy and utility.

METHODS

A systematic search of Medline/PubMed, ISI-Web of Knowledge, and Google Scholar databases was done.

RESULTS

Specific instruments and questionnaires have recently been developed to assist clinicians in the assessment of acromegaly. These are either Patient-Reported Outcome tools, such as Acromegaly Quality of Life Questionnaire (AcroQoL) and Pain Assessment Acromegaly Symptom Questionnaire (PASQ), or Clinician-Reported Outcome tools, such as ACROSCORE, SAGIT^® and Acromegaly Disease Activity Tool (ACRODAT^®). Such tools are extremely flexible and, therefore, have been widely adopted by endocrinologists and other professionals, so much so that they have also been included as recommendations in the 2018 international guidelines.

CONCLUSION

Questionnaires and tools are useful in the management of acromegaly patients. They help clinicians evaluate patients' symptoms and could assist in the evaluation of disease activity.

Clinical Applicability of Patient- and Clinician-Reported Outcome Tools in the Management of Patients with Acromegaly

OBJECTIVE

We aimed to assess treatment outcomes and disease control status in patients with acromegaly by patient- and clinician-reported outcome tools and to analyse correlations among different components of both tools.

METHODS

Cross-sectional study included 72 patients from the national referral centre with a median follow up of 8 (5-12) years. Baseline SAGIT at the diagnosis was determined retrospectively, while the follow up SAGIT and AcroQoL results were assessed at the most recent visit and by additional telephone interviews.

RESULTS

All SAGIT subscores significantly lowered from baseline to follow up (global score from 14 to 4 (P<0.001)). SAGIT at baseline did not discriminate the current disease control status. However, higher baseline SAGIT score and subscore T were associated with uncontrolled disease after the first-line treatment. Diagnostic delay correlated with baseline S, A, G, and global SAGIT scores. At follow up, global SAGIT score discriminated between cured/controlled and uncontrolled groups (4 vs. 6 (P=0.007)). AcroQoL score was 69.3, with »Personal relations subscale« being the least and »Physical scale« the most affected. There was no difference in AcroQoL between patients classified as uncontrolled or cured/controlled. At baseline and follow up, there were significant negative correlations between S and A subscores and AcroQoL. Higher BMI, presence of swelling, joint symptoms, headaches, sleep apnea, and hypertension significantly impaired QoL.

CONCLUSION

Our results emphasised the complementary nature of patient- and clinician-reported outcome tools in acromegaly management. We identified modifiable signs, symptoms, and comorbidities as treatment targets that might help clinicians improve QoL in this population.

Correlation Between Clinical and Biochemical Markers in Patients With Acromegaly on Different Modalities of Treatment

Background

Acromegaly is a disabling disease caused by growth hormone (GH) over-secretion, associated with increased morbidity and mortality through different metabolic and somatic consequences involving soft tissue, acral overgrowth, and skin thickening, which will lead to different clinical manifestations. The study aimed to assess the correlation between biochemical markers of acromegaly with different clinical findings and biochemical control with the clinical findings.

Methods

A cross-sectional study was done on 56 patients with acromegaly attending a tertiary center for diabetes, endocrine, and metabolism in Southern Iraq Basrah. They were 32 (57.1%) males. Fatigue, headache, excessive sweating, joint pain, backache, soft tissue swelling, numbness, snoring, and visual problems were assessed on a four-point Likert scale. In addition, biochemical dynamic GH testing was done using a five-point random GH curve and/or standard GH suppression under the oral glucose tolerance test (OGTT).

Results

No significant correlation was found between symptoms severity and five-point GH parameters in respect of mean, peak, and nadir. Only backache showed a significant correlation with GH under OGTT suppression parameters in respect to mean, peak, and nadir (P-values < 0.01, < 0.01, and < 0.01), respectively. No particular biochemical control cut-off value in the 9 am random GH, mean five-point GH curve, or nadir GH under OGTT was correlated with the degree of severity for any of the clinical symptoms, as there was no difference between the biochemically controlled and uncontrolled groups in respect to any of the clinical symptom’s severity scale.

Conclusion

Only backache correlated with the biochemical tests of disease activity in the form of GH under OGTT. It appears in this study that the severity of the clinical symptoms does not correlate with biochemical control so that thorough evaluation and treatment of clinical complaints besides biochemical control is an essential part of the management plan in patients with acromegaly.