Seminar 27-11-205 Dr. E. van der Veer

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Dr. E. van der Veer Zwolle, 28 november 2015 IWO copyright Dr. E. van der Veer

Transcript of Seminar 27-11-205 Dr. E. van der Veer

Dr.  E.  van  der  Veer  Zwolle,  28  november  2015  IWO  

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Dr. E. van der Veer

 •  Wat  is  mastocytose  •  PrevalenAe  mastocytose  

•  PrevalenAe  osteoporoAsche  fracturen            (laag  energeAsch  trauma)  

•  Fractuur  risico  inschaJng  voor  individuele  paAënt  

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•  Heterogeneous group of disorders •  one or more organ systems are involved WHO-classification:

–  Indolent systemic mastocytosis –  Aggressive systemic mastocytosis –  Systemic mastocytosis with an associated clonal

haematological non-mast cell lineage disease (SM-AHNMD)

–  Mast cell leukaemia/sarcoma

URTICARIA PIGMENTOSA copyright

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Release of biochemical mediators from mast cells

Pathologic infiltration of mast cells in tissues

Abnormal growth and accumulation of

Clinical symptoms Clinical symptoms

•  Histamin •  Heparin •  Tryptase •  Prostaglandins •  Cytokines •  Interleukins •  etc

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•  In serum

tryptase > 10 ng/ml •  In 2de nuchtere urine histaminemetaboliet

methylimidazolazijnzuur (MIMA) MIMA > 2,0 mmol/mol kreatinine

•  Daarna volgt beenmergonderzoek met histologisch, cytologisch en genetisch onderzoek en immunofenotypering

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diagnostic WHO-criteria

•  Diagnosis in bone marrow biopsy: –  1 major + 1 minor –  3 minor

•  Major criterion –  ≥ 2 multifocal mast cell infiltrates of ≥ 15 mast cells

•  Minor criteria –  Atypical morphology of ≥ 25 % mast cells in bone marrow –  Atypical imunophenotype (co-expression of CD117 with CD2

and/or CD25) –  Increased serum tryptase (> 20 ng/ml) –  Detection of KIT point mutation at codon 816

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 Heterogeen ziektebeeld Klachten: •  Jeuk •  Flushing •  Diarree •  Invaliderende moeheid •  Recidiverende anafylaxie •  Osteoporose •  Fracturen Gevolg van mestcelophoping •  Hepatosplenomegalie •  Vergrote lymfklieren Sommige mastocytose patiënten hebben geheel geen klachten Puntmutatie in de KIT-stamcelreceptor op de mestcellen (Asp-816-Val)

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•  Wat is mastocytose •  Prevalentie mastocytose •  Prevalentie osteoporotische fracturen

(laag energetisch trauma) •  Fractuur risico inschatting voor individuele

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UMCG & Martini Hospital: 42 Mastocytosis patients

age 55 yrs (19-75) 38% man

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The prevalence of ISM was at least 13.0 cases per 100.000 inhabitants aged ≥15 years. ISM prevalence increased with age.

JJ. van Doormaal et al JACI 2013

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•  Wat is mastocytose •  Prevalentie mastocytose •  Prevalentie osteoporotische fracturen

(laag energetisch trauma) •  Fractuur risico inschatting voor individuele

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Dr. E. van der Veer

•  Data on lifetime fractures and trauma circumstances were collected

–  vertebral morphometry, –  patients’ records, –  questionnaires.

•  Lifetime fractures were categorized –  a) high vs low energy trauma circumstances –  b) before and after ISM diagnosis.

•  Clinical, lifestyle, and bone characteristics were measured at time of diagnosis.

E. van der Veer et al JACI 2014

Median follow-up 5.4 years (range 0.4-15.3)                                    

           start  symptoms   visit   life  Ame  fracture    

 diagnosis  Mastocytosis   data  collecAon  

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Median follow-up 5.4 years (range 0.4-15.3) 5.3 years; range 0.4-15.3 5-year fracture-free survival 77 ± 3% 78 ± 4% 10-year fracture-free survival 69 ± 4%, 71 ± 4%

E. van der Veer et l JCI 2014 online

Before ISM diagnosis: 139 FFx in 54 patients Post-diagnosis: 125 FFx in 56 patients

Before ISM diagnosis: 40 FFx in 27 patients Post-diagnosis: 88 FFx in 43 patients

Lifetime fragility fractures were reported by 41% (90/221) of the patients with indolent systemic mastocytosis (ISM).

E. van der Veer et al JACI 2014

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Dr. E. van der Veer

•  Wat is mastocytose •  Prevalentie mastocytose •  Prevalentie osteoporotische fracturen

(laag energetisch trauma) •  Fractuur risico inschatting voor individuele

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Aim: •  to determine the high/low risk of future fragility

fractures in patients presenting with indolent systemic mastocytosis.

E. van der Veer et al JACI 2014

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•  Data on lifetime fractures and trauma circumstances were collected

–  vertebral morphometry, –  patients’ records, –  questionnaires.

•  Lifetime fractures were categorized –  a) high vs low energy trauma circumstances –  b) before and after ISM diagnosis.

•  Clinical, lifestyle, and bone characteristics were measured at time of diagnosis.

-  28 patients receiving treatment for osteoporosis before ISM diagnosis -  9 patients with missing bone data (BTM and BMD) -  2 patients with a recent fracture or operation -  1 patient had gender change were excluded from FFx risk assessment. E. van der Veer et al

JACI 2014

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Median follow-up 5.4 years (range 0.4-15.3) 5.3 years; range 0.4-15.3 5-year fracture-free survival 77 ± 3% 78 ± 4% 10-year fracture-free survival 69 ± 4%, 71 ± 4%

E. van der Veer et l JCI 2014 online

Before ISM diagnosis: 139 FFx in 54 patients Post-diagnosis: 125 FFx in 56 patients

Before ISM diagnosis: 40 FFx in 27 patients Post-diagnosis: 88 FFx in 43 patients

E. van der Veer et al JACI 2014

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Low BMD T-score < -2.5 SD High uCTX Above premenopausal

values (T-score > 2 SD)

Johnell et al Osteop.Int. 2002

of hip fracture

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Fracture Risk Assessment Tools 10-year probability of hip fracture 10-year probability of a major osteoporotic fracture

(clinical spine, forearm, hip or shoulder fracture).

The model accepts: •  FRAX age 40 - 90 years. •  Garvan age 50 years or more •  Qfracture age 30 – 99 years

181 Indolent Systemic Mastocytosis patients, aged 19-77 years, mean 46 ± 13 years

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Qfracture age 30 – 99 years •  The following factors are needed to calculate a QFracture score in men and women:

•  Age •  Sex •  Ethnicity •  Smoking status (non smoker, ex smoker, light, moderate, heavy) •  Alcohol use •  Type 1 or Type 2 diabetes •  Parental history of hip fracture/osteoporosis •  Nursing or care home residence •  History of prior osteoporotic (wrist, spine, hip, or shoulder) fracture •  History of falls •  Dementia •  Cancer •  Asthma or COPD •  Cardiovascular disease •  Chronic liver disease •  Chronic kidney disease •  Parkinson's disease •  Rheumatoid arthritis or systemic lupus erythematosis (SLE) •  Gastrointestinal malabsorption (including Crohns disease, ulcerative colitis, celiac disease, steatorrhoea, blind loop

syndrome) •  Epilepsy or use of anticonvulsants •  Use of antidepressants (at least 2 scripts in last 6 months) •  Use of corticosteroids (at least 2 scripts in last 6 months) •  Body mass index •  Additional factors are used for women only: Use of oestrogen only Hormone Replacement Therapy •  Endocrine problems (thyrotoxicosis, primary or secondary hyperparathyroidism, Cushings syndrome)

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The risk scores had poor accuracy, AUC 0.60 (95% CI: 0.50-0.71) for major osteoporotic fractures, AUC 0.66 (95% CI: 0.56-0.75) for hip fractures.

0

5

10

15

10 20 30 40 50 60 70 80

perc

enta

ge

Age (years)

10-years fragility fracture risk

FFx post-diagnosis

E. van der Veer et al JACI 2014

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E. van der Veer et al E. van der Veer et al JACI 2014

Patient characteristic

Age (yrs) 46 ± 13 Age ≥ 50 yrs 77 42%

Male gender (n, %) 74 41%

Length (cm) 174 ± 10

Weight (kg) 79 ± 15 Weight < 60 kg 14 8%

BMI (kg/m2) 26.3 ± 4.4 BMI < 19.0 3 1.6%

BMI ≥ 30.0 34 19%

Smoking (n, %) 82 46% Current smoker 53 30%

Stopped within last 10 years 29 16%

Alcohol use (n, %) 135 75% Adverse reactions 38 21%

Mastocytosis characteristic

Disease duration (yrs) 7.5 (0.1 to 58)

Urticaria pigmentosa (n, %) 138 76%

Anaphylactic shock (n, %) 77 43%

Tryptase (µg/L) 27 (4.1 to 296) Tryptase > 20 122 67%

MH (µmol/mol creat) 257 (70 to 2554) MH > 167 141 78%

MIMA (mmol/mol creat) 3.2 (0.5 to 21.6) MIMA > 1.9 148 82%

MH = methylhistamin; MIMA = methylimidazole acetic acid; BMI = body mass index;

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Bone characteristics at diagnosis n %

Patients with FFx n % 27 15%

Number of FFx n 40

Osteosclerosis n % 10 6%

Osteocalcin µg/L 12.3 (3.6 to 37.2)

Osteocalcin Z-score SD -0.12 (-2.66 to 4.15) Osteocalcin Z-score > +2.0 10 6%

BALP U/L 21.5 (4.6 to 62.1)

BALP Z-score SD 1.22 (-2.09 to 8.55) BALP Z-score > +2.0 57 32%

PINP µg/L 39.9 (15.9 to 135)

PINP Z-score SD -0.04 (-2.10 to 6.62) PINP Z-score > +2.0 12 7%

sCTx pg/mL 195 (10 to 797)

sCTX Z-score SD -0.42 (-2.03 to 6.35) sCTX Z-score > +2.0 14 8%

LS BMD g/cm2 0.96 ± 0.15

LS BMD T-score SD -0.97 ± 1.39 Osteoporosis LS 25 14%

Hip BMD g/cm2 0.93 ± 0.13

Hip BMD T-score SD -0.35 ± 0.99 Osteoporosis hip 1 0.6%

FFx = Fragility fractures; BALP = bone specific alkaline phosphatase; PINP = procollagen type 1 N-terminal peptide; sCTX = serum type I collagen C-telopeptide; LS = lumbar spine; BMD = bone mineral density;

E. van der Veer et al E. van der Veer et al JACI 2014

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•  Multivariate Cox regression HR

95% CI P-value B MastFx-

score Lower Upper Male gender 2,043 1,045 3,996 0,037 0,715 1

sCTX Z-score ≥ +1.0 2,632 1,278 5,424 0,009 0,968 1

Hip BMD T-score ≤ -1.0 2,187 1,128 4,240 0,021 0,782 1

UP absence 2,047 1,074 3,899 0,029 0,716 1

Alcohol use 3,445 1,016 11,688 0,047 1,237 1

HR: hazard ratio; CI: confidence interval; B: regression coefficient; sCTX: serum type I collagen C-telopeptide; BMD: bone mineral density; UP: urticaria pigmentosa

E. van der Veer et al E. van der Veer et al JACI 2014

•  Univariate Cox regression Patients with fragility fractures post-ISM-diagnosis were:

older more often male more often anaphylactic reactions less often UP higher levels of MIMA, osteocalcin and sCTX lower hip BMD scores reported more often alcohol intake

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E. van der Veer et al E. van der Veer et al JACI 2014

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•  Multivariate Cox regression HR

95% CI P-value B MastFx-

score Lower Upper

Male gender 2,043 1,045 3,996 0,037 0,715 1

sCTX Z-score ≥ +1.0 2,632 1,278 5,424 0,009 0,968 1

Hip BMD T-score ≤ -1.0 2,187 1,128 4,240 0,021 0,782 1

UP absence 2,047 1,074 3,899 0,029 0,716 1

Alcohol use 3,445 1,016 11,688 0,047 1,237 1 HR: hazard ratio CI: confidence interval; B: regression coefficient sCTX: serum type I collagen C-telopeptide BMD: bone mineral density UP: urticaria pigmentosa

Accuracy of the MastFx-model: AUC = 0.80 (95% CI 0.73–0.88)

AUC = 0.80 (95% CI 0.72–0.87)

E. van der Veer et al E. van der Veer et al JACI 2014

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Male gender 1 sCTX Z-score ≥ +1.0 1 Hip BMD T-score ≤ -1.0 1 UP absence 1 Alcohol use 1

E. van der Veer et al E. van der Veer et al JACI 2014

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Prevalence Mastocytosis •  The prevalence of mastocytosis was at least 13.0 cases per 100.000 inhabitants aged ≥15 years. •  ISM prevalence increased with age.

Prevalence Mastocytosis •  Lifetime fragility fractures were reported by 41% (90/221) of the

patients with indolent systemic mastocytosis (ISM).

•  Follow-up from ISM-diagnosis to Fx data collection: –  median 5.4 years (range 0.4-15.3) –  5-year fracture-free survival 77 ± 3% –  10-year fracture-free survival 69 ± 4%

E. van der Veer et al E. van der Veer et al JACI 2014

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•  Independent predictors for future fragility fractures

–  Male gender –  high levels of bone resorption marker sCTX –  low hip BMD –  absence of urticaria pigmentosa –  alcohol intake

•  The MastFx-score, a prediction model using five characteristics, showed good accuracy to distinguishes ISM patients at high, intermediate and low risk for new FFx. –  ISM patients with a MastFx-score of ≥2 have a high risk for fragility

fractures.

E. van der Veer et al E. van der Veer et al JACI 2014

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•  The calculation of the fragility fracture risk should be an important component in the management of patients presenting with ISM

•  Efforts should be made by the caretakers to optimize bone quality in all ISM patients Lifestyle changes –  Do exercises –  Adequate vitamin D and calcium intake –  Alcohol cessation is highly recommended

(because drinking is a modifiable risk factor of FFx in ISM) High-risk patients will probably benefit from an early start

of therapeutic intervention

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q University of Groningen q University Medical Center Groningen q  Nederlands Mastocytose Centrum Groningen

•  Eveline van der Veer

•  Suzanne Arends •  Sjoukje van der Hoek •  Joris B Versluijs •  Jan GR de Monchy •  Joanne NG Oude Elberink •  Jasper J van Doormaal

Support your

bones

They support

you!

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Dr. E. van der Veer