W3S2:

A 36-year-old man with diabetes mellitus complicated by microalbuminuria is seen for routine follow-up and is found to have asymptomatic hypercalcemia

Laboratory investigations show the following:

Test

Value

S. Potassium

4.3 mEq/L

S. sodium

140 mEq/L

S. Creatinine

1.4 mg/dl

S. Calcium

11.2 mg/dl

S.  Albumin

4.0 g/dl

S. Phosphorus

2.4 mg/dl

iPTH

110 pg/ml

25-OH vitamin D

48 ng/ml

A. What is your differential diagnosis?

B. Diagnostic approach for hypercalcemia:

 

34 Comments

  • Radwa Ellisy


    1. The patient has mild renal impairment , mild hypercalcemia, mild hypophosphatemia and mild hyperparathyroidism

    Normal vit D

    1. Diagnostic approach for hypercalcemia

     

  • Rania Mahmoud


    A. What is your differential diagnosis?
    1. Primary hyperparathyroidism , familial hypocalciuric hyperglycemia , Sarcoidosis. Malignancy, multiple myeloma, granulomatous disease. vit D excess or milk alkali syndrome
    B. Diagnostic approach for hypercalcemia:
    History and exam
    – Review medication and supplements
    – Repeat a.Ca and PTH, 25OH vitamin D, RFT, CXR , PTH level TFT, isotope CamScanner on parathyroid gland, ESR and ca in urine with creatinine ratio

  • Amna Kununa


    Hyper Ca with high PTH:

    1. Primary hyperparathyroidism
    2. Familial hypocalciuric hyperglycemia

    My approach:
    First step: symptomatic or not, treat if yes.
    Next step: not symptomatic

    • Review medication and supplements.
    • Repeat a.Ca and correct to albumin
    • HyperCa confirmed
    • Check iPTH

    If high iPTH

    • check urinary Ca/crcl
    • If a high ratio >0.03 likely primary hyper para
    • If a low ratio <0.02, possibly FHH, consider genetic testing for CaSR and review family Hx.

    Low/low normal iPTH
    Measure PTHrP and vitD level

    • High PTHrP: malignancy
    • High 1, 25 vitD likely granulomatous disease(sarcoid, lymphoma, TB).
    • High 25 vitD: high vitD or Ca supplements.
    • Normal both: myeloma, vit A excess, milk alkali, thyrotoxicosis and immobilization.
  • Khaldon Rashed Ahmed Moqbil


    A- hyper ca for work up less likely 2nd and more 1st PTH with low phos level
    medication
    malignancy
    and another less common cause FHH, tb sarcoidosis …..
    B- ca in urine with creatinine ratio
    detailed history and exam
    ESr and work up if suspected malignancy
    exclude drugs induce hyper ca

  • Rola Kotob


    What is your differential diagnosis?
    high corrected Ca with incresing hyperparathyrroid primary hyperparathyroidism arcoidosis, tuberculosis, Paget disease, multiple endocrine neoplasia (MEN), cancer, vitamin D toxicity, familial hypocalciuric hypercalcaemia
    medications such as lithium and hydrochlorothiazide.

    Diagnostic approach for hypercalcemia:
    Once calcium is confirmed to be elevated, a detailed history taken from the subject, including review of medications, any vitamin supplementations, herbal preparations, and previous calcium values.

    Chronic elevation of calcium with absent or mild symptoms often points to primary hyperparathyroidism or Familial hypocalciuric hypercalcemia. For those who has underlying malignancy, the cancers may be sufficiently severe to show up in history and examination to point towards the diagnosis with little laboratory investigations.
    If detailed history and examination does not narrow down the differential diagnoses, further laboratory investigations are performed. Intact iPTH with high urine calcium/creatinine ratio (more than 0.03) is suggestive of primary hyperparathyroidism, usually accompanied by low serum phosphate.
    High iPTH with low urine calcium/creatinine ratio is suggestive of familial hypocalciuric hypercalcemia. Low iPTH should be followed up with Parathyroid hormone-related protein (PTHrP) measurements (though not available in all labs). Elevated PTHrP is suggestive of malignancy.
    Normal PTHrP is suggestive of multiple myeloma, vitamin A excess, milk-alkali syndrome, thyrotoxicosis, and immobilisation. Elevated Calcitriol is suggestive of lymphoma, sarcoidosis, granulomatous disorders, and excessive calcitriol intake. Elevated calcifediol is suggestive of vitamin D or excessive calcifediol intake

    ECG

  • Marwa Alm


    • Differential diagnosis: excess calcium intake, hyper vitaminosis D, hyperthyroidism (1ry or 3ry), malignancy (PTH rP), chronic granulomatous ds, FHH
    • approach: history taking, exclude malignancy, drug history, test for S.Ca, S.phosphorus, ALP, PTH, 25OH vitamin D, RFT, U.Ca, U.phosphate, TFT, isotope CamScanner on parathyroid gland
    • this case has hypercalcemia, hypo phosphatemia, hyper parathyroidism consistent with primary hyperthyroidism.
  • Mohamed Abdulahi Hassan


    Primary hyperparathyroidism.
    CKD
    hypervitaminosis
    vitamin D toxication
    granulomatosis diseases
    malignancy
    approach for entire hypercalcemia history, drug history
    PTH suppress test
    urine calcium ..
    imaging for ruling out malignancy

  • Asmaa Salih KHUDHUR


    DDX
    Primary hyperparathyroidism
    tertury hyperparathyroidism
    malignancies
    granulomatous disease.
    vit D excess
    drug induced
    FHH
    Approach:
    As this patient in early stage of CKD with hypophosphatemia and elevated PTH , so this mainly a primary hyperparathyroidism.
    detailed history especially drug, full examination for any markers of malignancies.
    we should know the GFR , repeat the above values , iPTH , sestamibi scan for PT gland .

  • Mohammed Farag


    Hypercalcaemia with elevated PTH:
    Primary hyperparathyroidism
    Tertiary hyperparathyroidism
    FHH

    Dxic approach

  • Hagar Ali


    A) D.D
    Hypervitaminosis D
    primary hyperparathyroidism
    FHH
    Malignancy
    Granulomatous disease
    medication :thiazides
    B) 24 h urinary ca
    chest X-ray
    revise medication

  • HASSAN ALYAMMAHI


    A

    • Hypervitaminosis D
    • Primary hyperparathyroidism
    • Malignancy
    • Granulomatous diseases
    • Medication

    B
    90% of hypercalcemia is caused by either hyperparathyroidism and Malignancy, the approach should concentrate along this was by measuring iPTH hormone and examination (Clinical, biochemical, and radiological) looking for common malignancies.
    if these are negative then we should be looking for the rare 10%

  • Ahmed Altalawy


    What is your differential diagnosis?
    Primary hyperparathyroidism
    Familial benign hypercalcemia.
    Vitamin D excess.
    Granulomatous diseases
    Milk-alkali syndrome.
    Drugs eg Thiazide diuretics
    B. Diagnostic approach for hypercalcemia:
    Revise medications
    Repeat Labs for confirmation
    Chest Xray
    24 hours urinary calcium .

  • Riaan Flooks


    A: Differential Diagnosis:
    Despite having microalbuminuria, the renal function is NORMAL – thus excluding
    Secondary and Tertiary Hyperparathyroidism
    I would consider:
    Primary Hyperparathyroidism
    Granulomatous Disease
    Men 1 and 2A

    B: Approach:
    Thorough physical examination: enquire about Drugs and Supplements as well as
    any symptoms
    Repeat the Ca and PTH
    CXR and CT Chest and abdomen
    1,25(OH)D and 25(OH)D

  • ahmed bhnassi


    Differential diagnosis
    hyperparathyroidism (sporadic)
    Inherited variants
    Multiple endocrine neoplasia (MEN) syndromes
    Familial isolated hyperparathyroidism

    Familial hypocalciuric hypercalcemia

    Non-parathyroid mediated
    Hypercalcemia of malignancy
    Increased calcitriol (activation of extrarenal 1-alpha-hydroxylase)
    Osteolytic bone metastases and local cytokines
    Vitamin D intoxication
    Chronic granulomatous disorders or other illnesses characterized by granuloma formation
    Increased calcitriol (activation of extrarenal 1-alpha-hydroxylase)
    Medications
    Thiazide diuretics
    Lithium
    Teriparatide
    Abaloparatide
    Excessive vitamin A
    Theophylline toxicity
    Hyperthyroidism
    Acromegaly
    Pheochromocytoma
    Adrenal insufficiency
    Immobilization
    Parenteral nutrition
    Milk-alkali syndrome

    Diagnostic approach for hypercalcemia:
    1- The first step is to verify with repeat measurement (total calcium corrected for albumin) that there is a true increase in the serum calcium concentration.
    previous values for serum calcium should also be reviewed. .

    Primary hyperparathyroidism is often associated with borderline or mild hypercalcemia (serum calcium concentration often below 11 mg/dL [2.75 mmol/L]). Values above 13 mg/dL (3.25 mmol/L) are unusual in primary hyperparathyroidism, although they do occur; they are more common in patients with malignancy-associated hypercalcemia.

  • Mahmoud Elsheikh


     
    What is your differential diagnosis?
    Primary hyperparathyroidism
    Familial benign hypercalcemia.
    Vitamin D excess.
    Granulomatous diseases
    Milk-alkali syndrome.
    B. Diagnostic approach for hypercalcemia:
    1-review medication/clinical evaluation to rule out causes as malignancies
     i PTH
    if high or normal =check Ca urine
    (1) if low means familial benign hypercalcemia.
    (2) if high means Primary hyperparathyroidism.
              if low check PTHrp
    -IF low vit D excess or milk alkali syndrome or hyperthyroidism
    -if high means lymphoma or granulomatous disease.

  • Alaa Abdel Nasser


    A case of hypercalcemia and hyperparathyroidism
    Differential diagnosis:
    1-primary hyperparathyroidism
    2-Familial hypocalcuric hypercalcemia
    3-malignancy(MM)
    4-vitamin A intoxication
    5-granulomatus disease(sarcoidosis)
    6-Thyrotoxicosis
    7-Milk alkali syndrome

    Diagnostic approach for hypercalcemia:
    Laboratory evaluation — The initial goal of the laboratory evaluation is to differentiate parathyroid hormone (PTH)-mediated hypercalcemia (primary and tertiary hyperparathyroidism, and familial hyperparathyroid syndromes) from non-PTH mediated hypercalcemia (primarily malignancy, vitamin D intoxication, granulomatous disease).

    Thus, once hypercalcemia is confirmed, the next step is measurement of serum PTH.
     A frankly elevated PTH concentration in the setting of hypercalcemia is highly likely the result of primary hyperparathyroidism.
    Mid- to upper-normal or minimally elevated parathyroid hormone — Ten to 20 percent of patients with primary hyperparathyroidism have a serum PTH concentration in the upper end of the normal range; such a “normal” level (ie, not suppressed but not frankly elevated) is also virtually diagnostic of primary hyperparathyroidism since it is still inappropriately high considering the presence of hypercalcemia. However, in this circumstance, the diagnosis of familial hypocalciuric hypercalcemia also should be considered, and urinary calcium excretion (24-hour urinary calcium or calcium-to-creatinine ratio) should be measured.
     A low or low-normal serum intact PTH level (below 20 pg/mL) is most consistent with non-PTH-mediated hypercalcemia.

    PTH-related protein — Humoral hypercalcemia of malignancy is one of the most common causes of non-parathyroid hormone (PTH)-mediated hypercalcemia. It should be particularly suspected if there is clinical evidence of malignancy, usually a solid tumor, and the hypercalcemia is of relatively recent onset.

    Vitamin D metabolites — Serum concentrations of the vitamin D metabolites, 25- hydroxyvitamin D (25[OH]D, calcidiol) and 1,25-dihydroxyvitamin D (calcitriol), should be measured if there is no obvious malignancy and PTH is not elevated.

    Additional laboratory data (including SPEP and urinary protein electrophoresis [UPEP] for possible multiple myeloma, TSH, vitamin A).

  • Asma Aljaberi


    A. What is your differential diagnosis?
    Patient is having hypercalcemia with hyperparathyroidism, Low PH, normal Vit D, and high normal Cr levels.
    Hypercacemia is PTH dependent here, hence the differential diagnosis for such biochemical parameters results: PHPT or FHH
    As PH level is low, the pretest probability is higher for PHPT
    THPT is less likely as the patient is just heading toward CKD, and I would expect much higher Cr level with THPT.
    B. Diagnostic approach for hypercalcemia:
    The diagnostic approach for PTH dependent hypercalcemia would be ordering 24 urine Ca, Cr, spot urine with U&E at same time to calculate Ca/Cr ratio and fractional excretion of Ca. If if it’s > or = 0.01, goes with PHPT, or it is < 0.01, goes with FHH.

  • MOHAMMED HAJI HASSAN


    What is your differential diagnosis?

    Primary Hyperparathyroidism
    Malignancy associated hypercalcemia
    Drug associated hypercalcemia such as thiazide diruretics
    Familial hypocalciuric hypercalcemia
    others: granulomatous disease, pancreatitis

    Diagnostic approach for hypercalcemia

    investigate drug history
    Repeat the serum calcium and Albumin
    Urinary calcium and creatinine level
    CXR ,PTH level

  • Rabab ALaa Eldin keshk Rabab


    A-DD malignancy associated with hypercalcimia as multiple myeloma, familial hypocalciuria hypercalcimia,drug induced hypercalcimia as thiazid diuretic, hyperparathyroidism .
    B- diagnostic approach for hypercalcimia
    History of patient symptoms and other possible cause drug history then do the following investigation plasma proteins electrophoresis to exclude multiple myeloma, vit d level saitaamipiscan to exclude hyperparathyroidism

  • KAMAL ELGORASHI


    Differential diagnosis

    • Primary hyperparathyroidism.
    • Tertiary hyperthyroidism.
    • Familial hypocalciuria hypercalcemia.
    • Multiple myeloma.
    • Malignancy-associated hypercalcemia;
    1. Humoral hypercalcemia with malignancy.
    2. Local osteolytic hypercalcemia, due to bone metastesis.
    3. 1-25(HO)vitD secondary to lymphoma.
    4. Sarcoidosis.
    5. Tuberculosis.
    6. Pagets disease.
    • Endocrine disordered;
    1. Hyperthyroidism.
    2. Pheochromocytoma.
    3. Acromegaly.
    • Drug induce;
    1. Thiazide diuretics.
    2. Vit A or D excess.
    3. Lithium.

    In this case; the most probable diagnosis;

    • Drug induce.
    • Underline malignancy.
    • Endocrine-associated, hyperthyroidism. hyperparathyroidism.

    Diagnosis approach

    1. If the patient is symptomatic; treat it as emergency
    2. If not;
    • Review medication.
    • Repeat serum calcium, corrected, and ionized calcium for confirmation.
    • Assess PTH;
    1. If high; primary hyper para, most likely.
    2. If normal or mild elevation; Primary hyper para, or FHH.
    3. If low; evaluate for non-PTH hypercalcemia.
    • If no apparent malignancy;
    1. Assess PTHrP.
    2. 1-25(HO)vitD.
    3. 25(ho)vitD
    • If PTHrP is elevated; humoral hypercalcemia of malignancy is more likely.
    • Assess 1-25(HO)viD;
    1. If elevated; lymphoma, granulomatous diseases (sarcoidosis, TB).
    2. If 25(HO)vitD high;
    • VitD intoxication.
    • If not; measure
    1. SPEP
    2. UPEP
    3. Serum free light chain;
    • If high consider multiple myeloma.
    • If normal, consider VitA intoxication or hyperthyroidism.

    References;

    1. Favus MJ, Goltzman D. Regulation of calcium and magnesium. In: Rosen CJ (ed), Primer on the metabolic bone diseases and disorders of mineral metabolism. Washington DC: The American Society for Bone and Mineral Research, 2008:104–8.Google Scholar
    2. ↵
    3. Chen RA, Goodman WG. Role of the calcium-sensing receptor in parathyroid gland physiology. Am J Physiol Renal Physiol 2004; 286:F1005–11.doi:10.1152/ajprenal.00013.2004Abstract/FREE Full TextGoogle Scholar
    4. ↵
    5. Bustamante M, Hasler U, Leroy V, et al. Calcium-sensing receptor attenuates AVP-induced aquaporin-2 expression via a calmodulin-dependent mechanism. J Am Soc Nephrol 2008; 19:109-16.doi:10.1681/ASN.2007010092Abstract/FREE Full TextGoogle Scholar

    UptoDate 2023

  • Mahmud ISLAM


    Having high Ca low phosphorus with high PTH and normal vitamin D is consistent with primary hyperparathyroidism, which could be hyperplasia or nodule. we need to perform USG and parathyroid scintigraphy

  • Weam El Nazer


    What is your differential diagnosis?
    Primary hyperparathyroidism (sporadic) Inherited variants
    Multiple endocrine neoplasms (MEN) syndromes
    Familial isolated hyperparathyroidism
    Familial hypocalciuric hypercalcemia
    Hypercalcemia of malignancy
    Vitamin D intoxication
    Chronic granulomatous disorders
    medications

    Miscellaneous(Hyperthyroidism, Acromegaly, Pheochromocytoma, Adrenal insufficiency, ImmobilizationParenteral nutritional, milk-alkali syndrome

    B. Diagnostic approach for hypercalcemia:
    Confirm hypercalcemia: repeat lab for confirmation
    -check the medication

    • 25-OH vit -D, 1,25 OH vit-D, PTHrp, ACE, and TSH

    -check PTH:
    it is mildly elevated in relation to the CKD stage

    primary hyperparathyroidism Vs the diagnosis of familial hypocalciuric hypercalcemia also should be considered, and urinary calcium excretion (24-hour urinary calcium or calcium-to-creatinine ratio) should be measured

  • Elsayed Ghorab


    pt. is DM ,DN ,hyper vit.D associated with hypercalcemia
    pt. may be 1-)
    ingestion of phosphate rich food
    calcium supplement
    medication vit.d
    2-) investigation >>> consider urine calcium excretion ratio
    if Hight >>>>>hyperparathyroidism 1ry or 2ndry
    if low >>> familial hypocalciuric hypercalcemia
    3- investigate to rule out malignancy – -TB , MM ,

  • Israa Hammoodi


    A. Iatrogenic from Calcium supplements, primary hyperparathyroidism, granulomatous disease like sarcoidosis or TB, multiple myeloma
    B. Chest x ray, IGRA, 1.25 vitD,
    Urine calcium to creatinine ratio

  • Nour Al Natout


    A. Primary hyperparathyroidism,

    Familial hypocalciuric hypercalcemia , Granulomatous diseases e.g. sarcoidosis, tuberculosis.

    Milk alkalai syndrome or excess in calcium supplement

    B. Check ionized calcium, do a ultrasound for parathyroid glands,

    Vitamin 1,25 OH level , chest x ray (sarcoidisis?), Serum electrophoresis (MGUS?)

    Creatinine and Calcium level in urin

  • Rihab Elidrisi


    This patient has eGFR of stage 2 ckd in the sitting of diabetic nephropathy
    his hypercalcemia could be due to high Ca intake and the use of Vit D .
    In the early stage of ckd better to avoid Ca supplements and ROD is starting early in CKD stages.
    He could have another cause of hypercalcemia, like Primary hyperparathyroidism, granulomatous disease,

    A diagnostic approach for hypercalcemia:
    Hypercalcemia is a relatively common clinical problem. Among all causes of hypercalcemia, primary hyperparathyroidism and malignancy are the most common,

    

     

  • Abdulrahman Almutawakel


    THIS PATIENT HAD IMPAIRED KFT WITHPROTEINURIA CKD STAGE 2 , DIABETIC NEPHROPATHY OR OTHER CAUSE NEEDS FOR OPHTHALMOLOGY CONSULTATION TO BE STARTED IF NOT YET ON ACEi OR ARBs , IF TYPE 2 BETTER TO BE ON SGLTEi +- GLP 1 RA , FOR HYPERCALCEMIA NEEDS FOR FURTHER INVESTIGATION ( IONIZED CALCIUM , URINARY CALCIUM AND CREATININE RATIO )
    PRIMARY HYPERPARATHYROIEDISM NEEDS TO BE EXCLUDED

  • Ashraf Ahmed Mahmoud


    . What is your differential diagnosis?

    • Primary hyperparathyroidism
    • MEN TYPE1
    • Familial benign hypercalcemia.
    • Vitamin D excess.
    • Granulomatous diseases e.g., Sarcoidosis, & tuberculosis
    • Milk-alkali syndrome.

    B. Diagnostic approach for hypercalcemia:

    1-review his medication .
    2- clinical evaluation to rule out other causes as metastatic disease.

    • check i PTH—————(1) if high or normal check Ca urine if low means familial benign hypercalcemia. if high means Primary hyperparathyroidism.

    (2) if low check PTHrp ——–if (1) low check vit D——-IF low vit D excess or milk alkali syndrome or hyperthyroidism
    if high means lymphoma or granulomatous disease.

  • Ahmed Wagih


    36 yr.old male ckd stage II eGFR 67 ml/min/1.73m2, with PTH- mediated hypercalcemia,
    DD:- primary hyperparathyroidism, multiple endocrine neoplasm type I and 2A

  • Ben Lomatayo


    A. What is your differential diagnosis?

    • Primary hyperparathyroidism
    • Malignancy
    • Vitamin D supplements
    • Granulomataous diseases e.g., Sarcoidosis, & tuberculosis
    • Milk-alkali syndrome
    • Other cause e.g Hyperthyroidism, adrenal insufficiency, prolonged immobilization, Paget disease, acromegaly, & FHH.

    B. Diagnostic approach for hypercalcemia:

    The best is follow an alogorithm to arrive at the diagnosis

    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

  • Muhammad Soobadar


    d/d
    primary hyperparathyroid
    familial hypocalciuric hypercalcaaemia

    Check urine ca, Vitamin D and dependin on results consider imaging parathyroid gland

  • Emad mohamed mokbel Salem


    A-
    36 years old with hypercalcemia and inappropriately high PTH level
    my DD
    1-primary hyperparathyroidism
    2-familial hypocalcemic hypocalciuria
    ====================
    i want to take full history :
    familly history and to do 24 hours urinary calcium or fraction excretion of calcium to differtentiate between both
    if low>>>FHH
    if high >PTH related need to do imaging sestamibi scan

    ========================
    b: diagnostic approach for hypocalcemia
    a-take full history (hypercalcemia symptoms >polyuria ,polydipsia,desturbed conscious level ,depression ,abdominal pain ,constipation ,frequent passage of stone )

    b-history to search the causes of hypercalcemia:
    1-ask about general symptoms to r/o cancer (fever ,weight loss ,lumps or pupms ,history of cancer ,back pain and joint pain and hx of kidney problem ) to r/o metastasis or MM
    2-rule out MEN 1 and 2a (by asking about headache or change of facial appearance or increase size of hand and shoes (acromegally ) or milky discharge from breast (prolactinoma), heart burn or pud ,or frequent hypoglycemia attacks (r/o pancreatic element ) and any neck swelling or familly hx gland problem or cancer,hx (MTC ) hx of hypertension in attacks associated with sweating ,palpitation (pheochromocytoma)
    3-ask about joint pain and skin rash ,cough ,sob >>sarcoidosis
    4-drug history :
    diuretics >thiazide ,lithium ,calcium and vit D
    5-family hx :
    similar condition >FHH and MEN
    =============
    labs
    1-confirm hypercalcemia by adjusted for albumin and repeat test
    2-CXR ,PTH level
    3-if PTH high or in ULN >>PTH related will do FEca>>IF low FHH
    if high >>primary or tertiary HPT—sestamibi scan and RFT
    4- if PTH low
    a-rPTHp>>if high malignancy workup
    b-if normal >>1.25 (OH)2D3 and 25(oh)d3—–
    IF 1,25(oh)2d3 HIGH >>cxr ,ACE ,lymphoma screen (r/o granulamtous disease and lymphoma)
    if both normal
    r/o endocrinal disorders (TFTS ,CORTISOL LEVEL )
    2-milk alkali syndrome
    3-MM
    vitamin A

  • Ibrahim Omar


    A. What is your differential diagnosis?

    • 1ry hyperparathyroidism (PHP)
    • familial hypocalciuric hypercalcemia (FHH)
    • excess oral intake of calcium supplements in CKD patient.

    B. Diagnostic approach for hypercalcemia:

    • history of oral calcium supplement intake.
    • check urinary calcium creatinine ratio or fractional excretion of calcium. if it is less than 0.2 then the diagnosis is FHH. If it is more than 0.2 then the diagnosis is PHP.

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