| Literature DB >> 33847973 |
L Andereggen1,2, J Frey3,4, R H Andres5, M M Luedi6, M El-Koussy7, H R Widmer5, J Beck5,8, L Mariani9, R W Seiler5, E Christ10.
Abstract
CONTEXT: Although consensus guidelines recommend dopamine agonists (DAs) as the first-line approach in prolactinomas, some patients may opt instead for upfront surgery, with the goal of minimizing the need for continuation of DAs over the long term. While this approach can be recommended in selected patients with a microprolactinoma, the indication for upfront surgery in macroprolactinomas remains controversial, with limited long-term data in large cohorts. We aimed at elucidating whether first-line surgery is equally safe and effective for patients with micro- or macroprolactinomas not extending beyond the median carotid line (i.e., Knosp grade ≤ 1).Entities:
Keywords: Dopamine agonists; Knosp grading; Long-term outcome; Macroadenoma; Microadenoma; Primary surgical therapy; Prolactinoma
Mesh:
Substances:
Year: 2021 PMID: 33847973 PMCID: PMC8572196 DOI: 10.1007/s40618-021-01569-6
Source DB: PubMed Journal: J Endocrinol Invest ISSN: 0391-4097 Impact factor: 4.256
Fig. 1Flow chart of patient selection process. Out of 182 patients with a prolactinoma, first-line surgery was performed in 98 patients, with 86 patients included in the final analysis given the presence of long-term follow-up data
Patient characteristics at baseline
| Baseline Characteristics | Microadenoma | Macroadenoma | Total | |||||
|---|---|---|---|---|---|---|---|---|
| Number of patients, n (%) | 45 (52) | 41 (48) | 86 (100) | |||||
| Age at diagnosis in years (mean ± SD) | 32.9 ± 8.1 | 37.3 ± 13.4 | 35.0 ± 11.1 | 0.08 | ||||
| Women, n (%) | 40 (90) | 31 (76) | 71 (83) | 0.16 | ||||
| BMI (kg/m2 ± SD) | 25.4 ± 5.8 | 27.5 ± 5.3 | 26.4 ± 5.6 | 0.20 | ||||
| Headache, n (%) | 7 (16) | 11 (29) | 18 (22) | 0.19 | ||||
| Affected pituitary axes, | ||||||||
| Gonadotropin deficiency | 32 (71) | 21 (88) | 53 (77) | 0.15 | ||||
| Secondary hypothyroidism | 2 (4) | 3 (9) | 5 (6) | 0.65 | ||||
| Secondary adrenal insufficiency | 0 (0) | 3 (4) | 3 (4) | 0.08 | ||||
| Knosp grade 1 | 0 (0) | 17 (41) | 17 (20) | |||||
| Prolactin levels in μg/L (median; IQR) | 130 (68–197) | 303 (207–1100) | 199 (94–458) | |||||
BMI body mass index, n numbers, SD standard deviation, IQR interquartile range
Fig. 2Impact of first-line surgery on PRL levels as a function of adenoma size. Differences in PRL levels before and after surgery in relation to adenoma size. Both baseline and postoperative PRL levels are significantly higher in patients with macroprolactinomas than those with microprolactinomas (p = 0.01 and p = 0.04, respectively), but not at long-term follow-up (p = 0.39). PRL levels significantly decreased in both cohorts compared to baseline, independent of the initial tumor size (i.e., microadenoma or macroadenoma). There is a significant difference between postoperative and long-term PRL values (p = 0.01 for microadenomas; p = 0.03 for macroadenomas, respectively). (***p < 0.001; **p < 0.01; *p < 0.05)
Predictors of early negative outcome (postoperative PRL levels > 20 μg/L)
| Predictive factors | Univariable analyses OR (95% CI) | Multivariable analyses OR (95% CI) | ||
|---|---|---|---|---|
| Age (years) | 1.0 (1.0–1.1) | 0.71 | ||
| Sex (male) | 6.1 (1.7–22.4) | 2.3 (0.4–15.0) | 0.39 | |
| Headache (baseline) | 1.0 (0.3–3.1) | 0.99 | ||
| Hypopituitarism (baseline) | 0.7 (0.2–1.9) | 0.45 | ||
| Baseline BMI (kg/m2) | 1.0 (0.9–1.1) | 0.70 | ||
| PRL levels (baseline) | 13.0 (3.2–52.5) | 11.1 (2.1–59.4) | 0.05 | |
| Knosp grading (Knosp grade 1) | 8.4 (2.3–30.5) | 3.3 (0.6–19.0) | 0.17 | |
| Adenoma size (Macroadenoma) | 2.8 (1.1–7.6) | 1.8 (0.4–8.0) | 0.41 |
BMI body mass index, CI confidence intervals, DA dopamine agonist, OR odds ratio, PRL prolactin
Fig. 3Long-term outcome following first-line surgery. Multimodal treatment (i.e., surgery ± DA) resulted in long-term control of hyperprolactinemia in 41 patients (95%) with a microprolactinoma vs. 35 patients (88%) with a macroprolactinoma (p = 0.25), namely in 22 macroadenomas (96%) of Knosp grade 0 vs. 13 (76%) with Knosp grade 1 (p = 0.14). Surgery alone resulted in long-term remission in 31 patients (72%) with a microprolactinoma vs. 18 patients (45%) with a macroprolactinoma (p = 0.02); namely in 15 (68%) patients with a macroadenoma Knosp grade 0 vs. 3 (18%) patients with a macroadenoma Knosp grade 1 (p = 0.004). For the long-term control of hyperprolactinemia, a significantly greater need for DA therapy was noted in patients with a macroprolactinomas (49%) than in patients with a microprolactinomas (24%, p = 0.03), and in macroprolactinomas Knosp grade 1 (76%) compared to macroprolactinomas Knosp grade 0 (29%, p = 0.004) (**p < 0.01; *p < 0.05)
Fig. 4Kaplan–Meier estimation of recurrence-free intervals. a Recurrence-free intervals were not significantly shorter in patients with a microadenoma (354.3 ± 25.6 months) than in those with a macroadenoma (324.4 ± 33.2 months); log-rank test, p = 0.34. b However, recurrence-free intervals were significantly shorter in patients with a Knosp grade I prolactinoma (201.5 ± 25.2 months) than in those with a Knosp grade 0 prolactinoma (396.4 ± 22.5 months; log-rank test, p = 0.01)
Patient characteristics at last follow-up
| Characteristics at last follow-up | Microadenoma | Macroadenoma | Total | P value |
|---|---|---|---|---|
| Follow-up time in months (median, range) | 79 (13–396) | 97 (13–408) | 80 (13–408) | 0.3 |
| BMI (kg/m2 ± SD) | 24.7 ± 5.7 | 27.7 ± 5.0 | 26.1 ± 5.6 | |
| Headache, n (%) | 1 (2) | 1 (2) | 2 (2) | 0.99 |
| Affected pituitary axes, n (%) | ||||
| Gonadotropin deficiency | 5 (19) | 8 (38) | 13 (27) | 0.19 |
| Secondary hypothyroidism | 2 (5) | 6 (15) | 8 (9) | 0.15 |
| Secondary adrenal insufficiency | 0 (0) | 3 (8) | 3 (4) | 0.1 |
| Prolactin levels in μg/L (median; IQR) | 11.9 (7.3–21.0) | 13.8 (8.2–20.4) | 12.7 (7.5–20.9) | 0.29 |
| Prolactin levels normalized | ||||
| Multimodal treatment | 41 (95) | 35 (88) | 76 (92) | 0.25 |
| Surgery alone | 31 (72) | 18 (45) | 49 (59) | |
| Dopamine agonists required | 11 (24) | 20 (49) | 31 (36) |
BMI body mass index, n numbers, SD standard deviation, IQR interquartile range
Predictors of long-term dependence on dopamine agonists
| Predictors of long-term dopamine agonist dependence | Univariable analyses | Multivariable analyses | ||
|---|---|---|---|---|
| Age (years) | 1.0 (1.0–1.0) | 0.65 | ||
| Sex (male) | 2.6 (1.2–5.9) | 1.5 (0.6–4.2) | 0.39 | |
| Headache (baseline) | 2.2 (0.9–5.3) | 0.07 | ||
| Hypopituitarism (baseline) | 0.6 (0.3–1.5) | 0.29 | ||
| Baseline BMI (kg/m2) | 1.0 (0.9–1.1) | 0.45 | ||
| PRL levels (baseline) | 1.6 (0.9–3.0) | 0.10 | ||
| Knosp grading (Knosp grade 1) | 2.7 (1.3–5.6) | 2.2 (1.0–5.4) | ||
| Adenoma size (Macroadenoma) | 1.5 (0.7–3.2) | 0.28 |
BMI body mass index, CI confidence intervals, DA dopamine agonist, HR hazard ratio, PRL prolactin