Literature DB >> 24712740

Total drug treatment and comorbidity in myasthenia gravis: a population-based cohort study.

J B Andersen1, J F Owe, A Engeland, N E Gilhus.   

Abstract

BACKGROUND AND
PURPOSE: Comorbidity in myasthenia gravis (MG) is important for diagnosis, treatment and prognosis. Disease complexity was assessed by examining total drug treatment, immune therapy and comorbidity in a complete national MG cohort.
METHODS: All recipients of the MG-specific drug pyridostigmine 2004-2010 registered in the compulsory Norwegian Prescription Database who met the inclusion criteria were included. The pyridostigmine group was compared with the general Norwegian population.
RESULTS: Myasthenia gravis patients received co-medication more often than the controls for nearly all groups of medication, including insulins (95% confidence interval 2.0-3.7), thyroid therapy (1.7-2.5), antidepressants (1.3-1.7), anti-infectives (1.2-1.4), lipid-modifying agents (1.1-1.4) and immunomodulating agents (6.8-8.8).
CONCLUSIONS: Myasthenia gravis patients are more often treated with non-MG prescription drugs than controls, reflecting frequent co-medication and comorbidity.
© 2014 The Author(s) European Journal of Neurology © 2014 EAN.

Entities:  

Keywords:  comorbidity; drug therapy; myasthenia gravis

Mesh:

Substances:

Year:  2014        PMID: 24712740      PMCID: PMC4238850          DOI: 10.1111/ene.12439

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


Introduction

Autoimmune myasthenia gravis (MG) is mainly caused by the destruction of acetylcholine receptors by autoantibodies at the neuromuscular junction. MG is a heterogeneous disease with several subtypes and autoantibodies against skeletal muscles 1. Life expectancy for MG patients is now near normal 2, but management of a fluctuating disease remains challenging. New therapeutic options are emerging, and MG subtype classification has implications for treatment strategies 3. The task of controlling symptoms whilst minimizing adverse effects of long-term immunosuppressive treatment is intricate. Furthermore, the clinical implications of heart muscle antibodies, involvement of respiratory function in MG and use of drugs that may worsen neuromuscular blockade have not been widely studied, nor have autoimmune comorbidity and psychiatric disorders been described in unselected MG cohorts. Our study provides a national cohort for evaluating the total drug management of symptomatic MG, offering a new insight into the total disease burden for this group. The aims of the study were to evaluate drug treatment and thereby also comorbidity in patients with MG. First, an overview is given of the overall national drug consumption amongst MG patients. Secondly, MG autoimmune comorbidity is assessed through co-medication. Thirdly, psychiatric disorders in MG are explored through specific drug treatment. Fourthly, prescription practice is investigated with regard to selected drugs considered as relatively contraindicated in MG. Finally, first- and second-line drug treatment of MG is investigated.

Methods

Registration of all prescription drugs dispensed from Norwegian pharmacies in the Norwegian Prescription Database (NorPD) has been mandatory since 2004, covering the entire Norwegian population (5 096 300). A unique personal identifier enables consecutive monitoring of individuals in the health system over their entire life span. The specific diagnosis or indication for the prescription is not registered in NorPD, but the International Classification of Diseases, 10th revision (ICD-10), and/or the International Classification of Primary Care, 2nd edition (ICPC-2), have been recorded since 2008. Medication for chronic diseases such as MG is reimbursed. The reimbursement codes together with the ICD-10 and ICPC-2 codes function as a proxy of diagnosis. The following variables were studied: the patient’s year of birth and sex, the prescriber’s medical speciality, reimbursement codes, ICD-10/ICPC-2 codes, name of the drug, Anatomical Therapeutic Chemical (ATC) code, date of expedition at the pharmacy, and the defined daily dose (DDD) of the drugs dispensed. In NorPD, the DDD corresponds to the assumed mean maintenance dose of the drug used per day for its main indication in adults 4. About 890 individuals with at least one prescription of pyridostigmine from 1 January 2004 to 30 April 2010 were identified. Amongst these, 830 (93%) met one or more of the criteria preset by us to confirm a diagnosis of MG and were regarded as having MG: (i) ≥2 prescriptions of pyridostigmine during the study period; (ii) pyridostigmine prescription made by a neurologist; (iii) pyridostigmine prescription with reimbursement code (§13) or ICD-10 code (G70.0)/ICPC-2 code (N99) specific for MG (Fig. 1). Final inclusion for this study was done from the date when one or more of the criteria were fulfilled. Sensitivity analyses with more stringent inclusion criteria to test the robustness of our study population were performed (Table S1).
Figure 1

Selection of the MG study cohort. *Recipients of pyridostigmine who did not meet the inclusion criteria during the study period.

Selection of the MG study cohort. *Recipients of pyridostigmine who did not meet the inclusion criteria during the study period. For each subgroup of patients categorized by age and sex, drug statistics for the corresponding age and sex groups in the Norwegian population registered in NorPD from the same period functioned as controls (Table 1). Total drug treatment of MG patients was assessed by investigating every prescription dispensed in all main ATC groups during the study period. Comparisons of age- and sex-specific drug use amongst MG patients and controls were done by calculating the standardized incidence ratio (SIR), i.e. the observed number of prescriptions for all main ATC groups divided by the estimated number of prescriptions for the same drug groups dispensed to a similar group, with regard to age and sex, in the general population. Patient age was defined as age at 1 July 2004. The SIR was computed, with 95% confidence interval (CI), assuming a Poisson distribution. The ATC group ‘Various’ was considered non-specific and was excluded from the analyses.
Table 1

Demographic characteristics of the study population and population controls, year 2004

MG patients (n = 830)Population controls (n = 4 577 457)
Age (mean)a5739
Sex (n, %)
 Female527 (64)2 269 049 (50)
 Male303 (37)2 308 408 (50)
Age group (n, %)
 0–93 (0.4)598 503 (13)
 10–1929 (4)591 853 (13)
 20–2936 (4)570 889 (13)
 30–39105 (13)698 413 (15)
 40–4997 (12)639 053 (14)
 50–59148 (18)595 423 (13)
 60–69159 (19)374 975 (8)
 70–79175 (21)299 162 (7)
 80–8967 (8)180 640 (4)
 > 9011 (1)28 546 (0.6)

Patient age was calculated from year of birth and defined as age at 1 July 2004.

Demographic characteristics of the study population and population controls, year 2004 Patient age was calculated from year of birth and defined as age at 1 July 2004. When exploring comorbidities and contraindicated medications, the following groups of drugs were included: drugs used in diabetes, insulins and analogues, thyroid hormones, antipsychotics, anxiolytics, hypnotics and sedatives, antidepressants, antiepileptics, beta-blocking agents, calcium-channel blockers, lipid-modifying agents and aminoglycoside antibacterials. The following groups of immunomo-dulating agents were assessed: prednisolone, selective immunosuppressants, tumor necrosis factor alpha inhibitors, interleukin inhibitors, calcineurin inhibitors, and other immunosuppressants. To detect any differences in prescription of ATC groups related to age and sex, linear regressions were performed, estimating the mean difference and 95% CIs. Two-sided P values ≤ 0.05 were considered statistically significant. The median DDD prescribed each year was compared for pyridostigmine and for each of the following immunomodulating agents: prednisolone, azathioprine, mycophenolic acid, cyclosporine and methotrexate, as recommended by the European Federation of Neurological Societies guidelines for MG treatment 5. Non-parametric tests were performed for comparisons regarding amount dispensed between age and sex groups. IBM SPSS Statistics for Windows, version 20.0 (IBM Corp., Armonk, NY, USA), and Microsoft Excel were used in all statistical analyses. Ethics committee approval is not required for studies using anonymous data retrieved from central health registers.

Results

In total, 87 556 prescription medications were dispensed to the 830 MG patients during the registration period (Table 2). The mean number of new ATC groups per year is shown in Table S2. Only 19 individuals (2.3%) received no other medication than pyridostigmine. MG patients more often received nearly all types of medication compared with the control group, most pronounced for the following treatment groups: alimentary tract and metabolism (A); systemic hormonal preparations, excluding sex hormones and insulins (H); antineoplastic and immunomodulating agents (L). Patients <50 years received fewer ATC groups than patients ≥50 years and women received fewer than men, but neither of the differences was significant.
Table 2

Number of the 830 MG patients receiving prescription medications in the main ATC groups compared with the number in a similar group, with regard to age and sex, in the general national population

Total (n = 830)Women (n = 527)Men (n = 303)<50 years old (n = 270)≥50 years old (n = 560)
ATC groupn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valueb
A − Alimentary tract and metabolism512 (62)1.9 (1.7–2.0)<0.001318 (60)1.7 (1.6–1.9)<0.001194 (64)2.1 (1.8–2.4)<0.001101 (37)2.3 (1.9–2.8)<0.001411 (73)1.8 (1.6–2.0)<0.001
B − Blood and blood forming organs364 (44)1.5 (1.3–1.6)<0.001206 (39)1.5 (1.3–1.7)<0.001158 (52)1.5 (1.3–1.8)<0.00141 (15)2.2 (1.6–2.9)NA323 (58)1.4 (1.3–1.6)<0.001
C − Cardiovascular system460 (55)1.4 (1.2–1.5)<0.001258 (49)1.3 (1.1–1.4)<0.001202 (67)1.5 (1.3–1.7)<0.00149 (18)1.7 (1.3–2.3)NA411 (73)1.3 (1.2–1.5)<0.001
D − Dermatologicals360 (43)1.3 (1.2–1.5)<0.001237 (45)1.3 (1.2–1.5)<0.001123 (41)1.4 (1.2–1.6)<0.00199 (37)1.5 (1.2–1.9)NA261 (47)1.3 (1.1–1.4)<0.001
G − Genito urinary system and sex hormones308 (37)1.3 (1.2–1.5)<0.001225 (43)1.2 (1.1–1.4)0.00283 (27)1.5 (1.2–1.9)<0.001101 (37)1.3 (1.0–1.5)0.02207 (37)1.3 (1.2–1.5)<0.001
H − Systemic hormonal preparations, excluding sex hormones and insulins456 (55)3.0 (2.7–3.3)<0.001272 (52)2.5 (2.2–2.8)<0.001184 (61)4.2 (3.7–4.9)<0.001105 (39)3.9 (3.2–4.7)<0.001351 (63)2.8 (2.5–3.1)<0.001
J − Anti-infectives for systemic use604 (73)1.3 (1.2–1.4)<0.001391 (74)1.2 (1.1–1.4)<0.001213 (70)1.4 (1.2–1.6)<0.001146 (54)1.2 (1.0–1.4)0.02458 (82)1.3 (1.2–1.5)<0.001
L − Antineoplastic and immunomodulating agents249 (30)7.7 (6.8–8.8)<0.001146 (28)8.0 (6.8–9.4)<0.001103 (34)7.4 (6.1–9.0)<0.00163 (23)16.4 (12.6–21.0)NA186 (33)6.6 (5.7–7.6)<0.001
M − Musculoskeletal system464 (56)1.2 (1.1–1.3)<0.001308 (58)1.1 (1.0–1.3)0.01156 (51)1.3 (1.1–1.5)0.005120 (44)1.3 (1.0–1.5)0.01344 (61)1.2 (1.0–1.3)0.006
N − Nervous system582 (70)1.4 (1.2–1.5)<0.001393 (75)1.4 (1.2–1.5)<0.001189 (62)1.3 (1.2–1.6)<0.001134 (50)1.5 (1.3–1.8)<0.001448 (80)1.3 (1.2–1.4)<0.001
P − Antiparasitic products, insecticides and repellents78 (9)1.2 (1.0–1.5)NA55 (10)1.2 (0.9–1.5)NA23 (8)1.3 (0.8–2.0)NA24 (9)1.2 (0.8–1.8)NA54 (10)1.2 (0.9–1.6)NA
R − Respiratory system488 (59)1.4 (1.3–1.5)<0.001314 (60)1.3 (1.2–1.4)<0.001174 (57)1.6 (1.3–1.8)<0.001127 (47)1.4 (1.2–1.7)<0.001361 (64)1.4 (1.2–1.5)<0.001
S − Sensory organs354 (43)1.4 (1.2–1.5)<0.001241 (46)1.4 (1.2–1.5)<0.001113 (37)1.4 (1.1–1.7)0.00176 (28)1.4 (1.1–1.7)NA278 (50)1.4 (1.2–1.5)<0.001

NA, not available or insufficient data available for analysis.

SIR, standardized incidence ratio calculated by comparing age- and sex-specific drug use amongst MG patients with the general population (i.e. the control group);

the difference between MG patients and the control group.

Number of the 830 MG patients receiving prescription medications in the main ATC groups compared with the number in a similar group, with regard to age and sex, in the general national population NA, not available or insufficient data available for analysis. SIR, standardized incidence ratio calculated by comparing age- and sex-specific drug use amongst MG patients with the general population (i.e. the control group); the difference between MG patients and the control group. Insulins were almost three times more frequently prescribed to MG patients (95% CI 2.0–3.7, Table 3) compared with controls. This was observed for MG patients ≥50 years (1.9–3.7), for men (1.7–4.3) and for women (1.7–4.0). MG patients <50 years also had increased prescriptions of insulins (SIR = 2.8), but there were too few users to provide sufficient statistical power (N = 5). A hundred and ten MG patients (13%) received a prescription of thyroid hormones. Thyroid hormones were prescribed about four times more frequently to MG patients <50 years (2.4–5.5) and male MG patients (2.3–5.0). Patients ≥50 years and female MG patients received thyroid hormones about twice as often compared with controls (1.5–2.2 and 1.4–2.2, respectively).
Table 3

Number of the 830 MG patients receiving various prescription medications compared with the number in a similar group, with regard to age and sex, in the general national population

Total (n = 830)Women (n = 527)Men (n = 303)<50 years old (n = 270)≥50 years old (n = 560)
ATC code − Drugn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valuebn (%)SIRa (95% CI)P valueb
Autoimmune co-medication
 A10 − Drugs used in diabetes83 (10)1.8 (1.4–2.2)NA45 (9)1.8 (1.3–2.4)NA38 (13)1.8 (1.3–2.5)NA8 (3)2.0 (0.8–3.9)NA75 (13)1.8 (1.4–2.2)NA
 A10A − Insulins and analogues42 (5)2.7 (2.0–3.7)NA22 (4)2.6 (1.7–4.0)NA20 (7)2.8 (1.7–4.3)NA5 (2)2.8 (0.9–6.6)NA37 (7)2.7 (1.9–3.7)NA
 H03AA − Thyroid hormones110 (13)2.1 (1.7–2.5)<0.00181 (15)1.8 (1.4–2.2)NA29 (10)3.5 (2.3–5.0)NA25 (9)3.7 (2.4–5.5)NA85 (15)1.8 (1.5–2.2)NA
Psychiatric co-medication
 N05A − Antipsychotics60 (7)1.1 (0.8–1.4)NA47 (9)1.2 (0.9–1.6)NA13 (4)0.7 (0.4–1.3)NA13 (5)1.3 (0.7–2.2)NA47 (8)1.0 (0.7–1.3)NA
 N05B − Anxiolytics170 (20)1.2 (1.0–1.4)0.03120 (23)1.1 (1.0–1.4)0.1350 (17)1.3 (0.9–1.7)NA26 (10)1.2 (0.8–1.8)NA144 (26)1.2 (1.0–1.4)0.05
 N05C − Hypnotics and sedatives244 (29)1.3 (1.2–1.5)<0.001168 (32)1.3 (1.1–1.5)0.00176 (25)1.4 (1.1–1.8)NA39 (14)1.7 (1.2–2.3)NA205 (37)1.3 (1.1–1.5)<0.001
 N06A − Antidepressants175 (21)1.5 (1.3–1.7)<0.001123 (23)1.4 (1.2–1.7)<0.00152 (17)1.7 (1.3–2.2)NA39 (14)1.5 (1.1–2.1)NA136 (24)1.4 (1.2–1.7)<0.001
Contraindicated co-medication
 N03 − Antiepileptics80 (10)2.1 (1.7–2.6)NA57 (11)2.3 (1.7–2.9)NA23 (8)1.8 (1.2–2.7)NA16 (6)2.2 (1.3–3.6)NA64 (11)2.1 (1.6–2.7)NA
 C07 – Beta-blocking agents157 (19)1.0 (0.9–1.2)0.779 (15)0.9 (0.7–1.1)NA78 (26)1.2 (0.9–1.5)NA11 (4)1.5 (0.8–2.7)NA146 (26)1.0 (0.9–1.2)0.9
 C08 – Calcium-channel blockers137 (17)1.4 (1.2–1.7)<0.00175 (14)1.4 (1.1–1.7)NA62 (21)1.5 (1.1–1.9)NA6 (2)2.0 (0.7–4.3)NA131 (23)1.4 (1.2–1.7)<0.001
 C10 − Lipid-modifying agents194 (23)1.3 (1.1–1.4)0.00299 (19)1.1 (0.9–1.4)NA95 (31)1.4 (1.1–1.7)NA11 (4)1.8 (0.9–3.2)NA183 (33)1.2 (1.1–1.4)0.01
 J01G − Aminoglycoside antibacterials0--0--0--0--0--

NA, not available or insufficient data available for analysis.

SIR, standardized incidence ratio calculated by comparing age- and sex-specific drug use amongst MG patients with the general population (i.e. the control group);

the difference between MG patients and the control group.

Number of the 830 MG patients receiving various prescription medications compared with the number in a similar group, with regard to age and sex, in the general national population NA, not available or insufficient data available for analysis. SIR, standardized incidence ratio calculated by comparing age- and sex-specific drug use amongst MG patients with the general population (i.e. the control group); the difference between MG patients and the control group. In all, 29% of MG patients received treatment with hypnotics and sedatives, and such drugs were twice as often given to MG patients than to controls for the age group <50 years (1.2–2.3). 21% received antidepressants, twice as often given to male MG patients than to male controls (1.3–2.2). For the remaining age and sex groups, slightly more MG patients than controls were treated with hypnotics, sedatives and antidepressants. 20% received anxiolytics, whilst 7% received antipsychotics (Table 3). Anxiolytics and antipsychotics were prescribed to MG patients and controls with the same frequency. Myasthenia gravis patients were twice as often treated with antiepileptic drugs (1.7–2.5). They were also more frequently treated with calcium-channel blockers (1.2–1.7) and lipid-modifying agents (1.1–1.4), but with the same frequency as in the controls with beta-blocking agents (0.9–1.2). All four drug groups were given more frequently to MG patients <50 years compared with controls at the same age (Table 3). However, the number of users of calcium-channel blockers, lipid-modifying agents and beta-blocking agents was too low to provide enough statistical power (N = 6, 11, 11 respectively). The DDDs of pyridostigmine were significantly lower for MG patients <50 years compared with those ≥50 years (P < 0.001). There was no difference between men and women (P = 0.8). Immunomodulating agents were prescribed less to patients <50 years (P < 0.001) and women (P = 0.001) compared with patients ≥50 years and men (Table 4); 406 MG patients (49%) had no immunomodulating agents expedited during the study period. The mean number of new groups of immunomodulating agents used per year was not significantly different between the two age and sex groups (P = 0.2 and P = 0.9, respectively; Fig. 2a and b). Regression analyses with mutual adjustment for age and sex did not alter the differences regarding age and sex.
Table 4

Number of MG patients using selected immunomodulating drugs with comparisons of DDDs prescribed, 2004–2010

Women (n = 527)Men (n = 303)<50 years (n = 270)≥50 years (n = 560)
ATC group − Drugn (%)n (%)P valuean (%)n (%)P valuea
H02AB06 − Prednisolone220 (42)167 (55)<0.001102 (38)285 (51)0.001
L04AX01 − Azathioprine109 (21)92 (30)0.00256 (21)145 (26)0.12
L04AA06 − Mycophenolic acid16 (3)7 (2)NA8 (3)15 (3)NA
L04AD01 − Cyclosporine11 (2)4 (1)NA7 (3)8 (0.1)NA
L04AX03 − Methotrexate9 (2)1 (0.3)NA3 (0.1)7 (0.1)NA
All immunosuppressants246 (47)178 (59)0.001113 (42)311 (56)<0.001

NA, not available or insufficient data available for analysis.

Non-parametric tests were used to calculate the difference in median defined daily dose between sex and age groups in the period 2004–2010.

Figure 2

(a) Mean number of new groups of immunomodulating agents used in MG patients (%) below and above 50 years of age after MG diagnosis per year, 2004–2010. Open bars, patients <50 years; hatched bars, patients ≥50 years. (b) Mean number of new groups of immunomodulating agents used in MG men and women (%) after MG diagnosis per year, 2004–2010. Open bars, men; hatched bars, women.

Number of MG patients using selected immunomodulating drugs with comparisons of DDDs prescribed, 2004–2010 NA, not available or insufficient data available for analysis. Non-parametric tests were used to calculate the difference in median defined daily dose between sex and age groups in the period 2004–2010. (a) Mean number of new groups of immunomodulating agents used in MG patients (%) below and above 50 years of age after MG diagnosis per year, 2004–2010. Open bars, patients <50 years; hatched bars, patients ≥50 years. (b) Mean number of new groups of immunomodulating agents used in MG men and women (%) after MG diagnosis per year, 2004–2010. Open bars, men; hatched bars, women. Significantly fewer DDDs of prednisolone was prescribed to patients <50 years compared with patients ≥50 years (P < 0.001). No age difference was seen for azathioprine (P = 0.1). Women were prescribed significantly fewer DDDs of prednisolone (P < 0.001) and azathioprine (P = 0.002) than men. For mycophenolic acid, cyclosporine and methotrexate, the number of users and DDDs prescribed were too small to be included in the calculations.

Discussion

This is the first study to assess the total drug management and comorbidity of MG in a complete national cohort. Our findings show that co-medication in MG is widespread, requiring more frequent drug treatment for several major disease groups than in the general population. Treatment for diabetes, thyroid disease and psychiatric disorders in MG is common, as well as co-medication relatively contraindicated in MG. These findings demonstrate the extensive disease burden of MG and the complexity of the disease. Increased treatment frequency with drugs for the cardiovascular system in MG patients younger than 50 years was found. Arguably, there is a risk of ascertainment bias as MG patients more regularly visit a physician. However, physical inactivity due to muscle weakness, side effects of steroid treatment such as weight gain and elevated blood glucose levels are factors that may contribute to the increased risk of cardiovascular disease, even in younger individuals. The possibility for cardiac involvement in MG is also well recognized 6, although death caused by cardiac diseases is not increased 2. The clinical implications remain unclear 7, but our data strongly indicate that there is a clinically relevant association between MG and cardiovascular disease. Early treatment of airway infections in MG patients is recommended 3, and may account for the increased use of anti-infectives. Immunosuppressed patients are also in general more prone to infections 5. In this study, thyroid hormones were most frequently prescribed to MG patients <50 years and to men compared with controls. A recent systematic review estimated concomitant autoimmune diseases in MG at 13%, with thyroid disease as the most frequent 8. In prospectively identified MG patients, type 1 and 2 diabetes was found in 10% and 8%, respectively 9. All antidiabetics in our study were most frequently prescribed to patients ≥50 years. In addition to the general autoimmune disease overlap, reduced physical activity, corticosteroid treatment as well as other comorbid conditions may serve as catalysts for acquired metabolic syndrome and type 2 diabetes. Use of antidepressants was more frequent amongst MG patients than controls. The frequency of patients receiving antidepressants in our study is in good agreement with previous reports of affective disorders in MG 10. Drug treatment of anxiety and sleep disturbances was lower in our study compared with previous reports 11,12. Psychiatric symptoms can mimic MG symptoms, but may also be under-recognized due to overlapping symptoms 13. Age ≥50 years and male sex were predictors for immunosuppressive treatment in our study. Immunosuppressive drugs and thymectomy represent the main principles in treating moderate to severe MG 3, often lifelong in late-onset and thymoma cases (15% of MG patients). Complete stable remission can be induced in early-onset cases after thymectomy. The benefit of thymectomy for MG symptom relief is questionable for late-onset MG and thymoma MG patients 14. Only 56% of the patients in our study over 50 years were treated with immunoactive drugs. Some muscle weakness is probably under-recognized in older patients due to the aging process or concomitant illness. One recent hospital-based study reported immunosuppressive therapy in 65% of late-onset cases 15. In our study early- and late-onset cases were combined in the group above 50 years. A biological explanation implicating differences in disease severity is possible, but inadequate immunosuppression in our patients is also highly probable. Teratogenic and other adverse effects influence immunosuppressive treatment in young females. Such drugs are rarely used in pregnancy 16. Only 6% of all MG patients in our study had such a severe disease that second-line immunomodulating drugs were required, indicating that prednisolone and azathioprine alone or in combination are sufficient for symptom control in nearly all MG patients. NorPD does not provide information on other treatment modalities, such as thymectomy, plasma exchange and intravenous administration of immunoglobulins. Patients identified with severe MG were predominantly ≥50 years old and females. MuSK-MG is more often seen in females and is associated with more severe disease, but this MG subtype is very rare in Norway 17. Information on MG subtypes is not available in the NorPD. The main strength of our study is case ascertainment from one single, unbiased, comprehensive database with a full, national population as controls. 96% of the entire Norwegian population has been included in NorPD since its establishment in 2004 with at least one prescription drug dispensed from a pharmacy. The 1 year prevalence of 68%–69% of the population in NorPD has proven stable 18. Identifying MG patients by prescriptions of pyridostigmine is considered sensitive with a high positive predictive value for the diagnosis 19–21, and with good agreement of calculated prevalence rates using pyridostigmine prescriptions registered in the NorPD compared with rates calculated from a nationwide acetylcholine receptor antibody database 22. Amongst 67 patients treated at our department for the past 30 years, only three did not receive pyridostigmine (unpublished data). NorPD did not include indication for prescription until 2008. This represents a potential source of overestimation. The inclusion criteria used in this study secured high sensitivity, although specificity may be lower. However, sensitivity analyses with more stringent criteria did not alter the basic characteristics of the MG cohort. Moreover, nearly 90% of our study population had confirmed at least one MG-reimbursed prescription of pyridostigmine or from a neurologist. Only MG patients with a confirmed diagnosis are given reimbursement. The reimbursement code is therefore highly specific for MG. Pyridostigmine is not prescribed on a regular basis to any other disease groups. The rare disease Lambert−Eaton myasthenic syndrome, with a prevalence of 2–3 per million 23, is treated with pyridostigmine and reimbursement would be given as for MG. Six patients with pyridostigmine were identified with an additional prescription of fludrocortisone, the standard drug for treating orthostatic hypotension, and may marginally bias our findings. This study reveals the true complexity of MG and contributes to an understanding of the impact of MG on health. Awareness of comorbidities and knowledge of treatment practice should help physicians in choosing the best treatment strategy.
  21 in total

1.  Myasthenia gravis: sleep quality, quality of life, and disease severity.

Authors:  Elena Hernández Martínez-Lapiscina; Elena Hernández Martínez De Lapiscina; María Elena Erro; María Elena Erro Aguirre; Teresa Ayuso; Teresa Ayuso Blanco; Ivonne Jericó; Ivonne Jericó Pascual
Journal:  Muscle Nerve       Date:  2012-08       Impact factor: 3.217

2.  Identifying patients with myasthenia for epidemiological research by linkage of automated registers.

Authors:  Emil Greve Pedersen; Jesper Hallas; Klaus Hansen; Poul Erik Hyldgaard Jensen; David Gaist
Journal:  Neuroepidemiology       Date:  2011-10-07       Impact factor: 3.282

3.  Seronegative myasthenia gravis: disease severity and prognosis.

Authors:  F Romi; J A Aarli; N E Gilhus
Journal:  Eur J Neurol       Date:  2005-06       Impact factor: 6.089

4.  Guidelines for treatment of autoimmune neuromuscular transmission disorders.

Authors:  G O Skeie; S Apostolski; A Evoli; N E Gilhus; I Illa; L Harms; D Hilton-Jones; A Melms; J Verschuuren; H W Horge
Journal:  Eur J Neurol       Date:  2010-04-12       Impact factor: 6.089

5.  Acetylcholine receptor antibodies in myasthenia gravis are associated with greater risk of diabetes and thyroid disease.

Authors:  C Toth; D McDonald; J Oger; K Brownell
Journal:  Acta Neurol Scand       Date:  2006-08       Impact factor: 3.209

6.  Thymectomy and antimuscle antibodies in nonthymomatous myasthenia gravis.

Authors:  Fredrik Romi; Nils E Gilhus; Jan E Varhaug; Andreas Myking; Geir O Skeie; Johan A Aarli
Journal:  Ann N Y Acad Sci       Date:  2003-09       Impact factor: 5.691

7.  Heart muscle antibodies in myasthenia gravis.

Authors:  A Mygland; J A Aarli; H Hofstad; N E Gilhus
Journal:  Autoimmunity       Date:  1991       Impact factor: 2.815

Review 8.  Mood and anxiety disorders in patients with myasthenia gravis: aetiology, diagnosis and treatment.

Authors:  Isin Baral Kulaksizoglu
Journal:  CNS Drugs       Date:  2007       Impact factor: 5.749

9.  Left ventricular long-axis function in myasthenia gravis.

Authors:  Jone Furlund Owe; Einar Skulstad Davidsen; Geir Egil Eide; Eva Gerdts; Nils Erik Gilhus
Journal:  J Neurol       Date:  2008-12-08       Impact factor: 4.849

10.  Myasthenia gravis: a review of available treatment approaches.

Authors:  Nils Erik Gilhus; Jone F Owe; Jana Midelfart Hoff; Fredrik Romi; Geir Olve Skeie; Johan A Aarli
Journal:  Autoimmune Dis       Date:  2011-10-05
View more
  12 in total

1.  Anti-Musk Positive Myasthenia Gravis and Three Semiological Cardinal Signs.

Authors:  André P C Matta; Ana C Andorinho F Ferreira; Arielle Kirmse; Anna Carolina Damm; João Gabriel D I B Farinhas; Mariane D Barbosa; Mayara C M Teles; Camila Fiorelli; Rossano Fiorelli; Osvaldo J M Nascimento; Marco Orsini
Journal:  Neurol Int       Date:  2014-01-05

2.  Paraoxon and Pyridostigmine Interfere with Neural Stem Cell Differentiation.

Authors:  Verónica O Berríos; Nawal M Boukli; Jose W Rodriguez; Priscilla D Negraes; Telma T Schwindt; Cleber A Trujillo; Sophia L B Oliveira; Luis A Cubano; P A Ferchmin; Vesna A Eterović; Henning Ulrich; Antonio H Martins
Journal:  Neurochem Res       Date:  2015-03-11       Impact factor: 3.996

3.  Cardiac disorders worsen the final outcome in myasthenic crisis undergoing non-invasive mechanical ventilation: a retrospective 20-year study from a single center.

Authors:  Erika Iori; Alessandra Ariatti; Marco Mazzoli; Elisabetta Bastia; Manuela Gozzi; Virginia Agnoletto; Alessandro Marchioni; Giuliana Galassi
Journal:  Acta Myol       Date:  2022-03-31

4.  User Involvement in Myasthenia Gravis Research.

Authors:  Nils Erik Gilhus; Sandra Iren Barkås Hovland
Journal:  Front Neurol       Date:  2022-06-02       Impact factor: 4.086

Review 5.  Myasthenia gravis and infectious disease.

Authors:  Nils Erik Gilhus; Fredrik Romi; Yu Hong; Geir Olve Skeie
Journal:  J Neurol       Date:  2018-01-25       Impact factor: 4.849

6.  Determination of the normative values of the masseter muscle by single-fiber electromyography in myasthenia gravis patients.

Authors:  Lei Shi; Heng-Fang Liu; Min Zhang; Ya-Pei Guo; Bo Song; Chang-Dong Song; Dan-Dan Song; Yu-Ming Xu
Journal:  Int J Clin Exp Med       Date:  2015-10-15

7.  Risk for generalization in ocular onset myasthenia gravis: experience from a neuro-ophthalmology clinic.

Authors:  Ayşın Kısabay; Hüseyin Nezih Özdemir; Figen Gökçay; Neşe Çelebisoy
Journal:  Acta Neurol Belg       Date:  2021-02-05       Impact factor: 2.396

8.  Outcomes after major surgery in patients with myasthenia gravis: A nationwide matched cohort study.

Authors:  Yi-Wen Chang; Yi-Chun Chou; Chun-Chieh Yeh; Chaur-Jong Hu; Chih-Jen Hung; Chao-Shun Lin; Ta-Liang Chen; Chien-Chang Liao
Journal:  PLoS One       Date:  2017-06-30       Impact factor: 3.240

Review 9.  Audiovestibular Symptoms in Systemic Autoimmune Diseases.

Authors:  Massimo Ralli; Vittorio D'Aguanno; Arianna Di Stadio; Armando De Virgilio; Adelchi Croce; Lucia Longo; Antonio Greco; Marco de Vincentiis
Journal:  J Immunol Res       Date:  2018-08-19       Impact factor: 4.818

Review 10.  Efficacy and Safety of the TCM Qi-Supplementing Therapy in Patients with Myasthenia Gravis: A Systematic Review and Meta-Analysis.

Authors:  Xi-Qian Yang; Ling Liu; Wen-Yu Yang; Huan-Huan Dong; Yi-Ran Yang; Yun Li
Journal:  Evid Based Complement Alternat Med       Date:  2017-12-03       Impact factor: 2.629

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.