APLIKASI HASIL UJI KLINIK

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    APLIKASI HASIL UJI KLINIK

    Ruben Dharmawan

    Laboratorium Parasitologi danMikologi FKUNS

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    Clinical Scenario

    You are the attending physician on duty when apoor 45 year old man presents to theemergency room of a general hospital in the

    Philippines. He has experienced severe chestpain for two hours, associated with clammyperspiration. Physical examination reveals ablood pressure of 110/70 mmHg, a heart rateof 92, a normal 1st heart sound and clearlungs. An electrocardiogram discloses 3mmST segment elevation in the inferior leads.

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    As intravenous lines are placed, and the patientis prepared for admission to the coronary

    care unit, you consider whether you shouldoffer this patient a thrombolytic agent.Though your response is that the

    impecunious patient cannot afford thetreatment, you ponder the right course ofaction in a richer patient. As your duty endsthat night, you resolve to prepare for the next

    patient admitted for an acute myocardialinfarction (MI), by retrieving the bestevidence on the use of thrombolytics.

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    Biologic Issues

    1.Are there pathophysiologicdifferences in the illness under study

    that may lead to a diminished treatmentresponse?

    2.Are there patient differences thatmay diminish the treatment response?

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    Social and Economic Issues

    1.Are there important differences inpatient compliance that may diminish

    the treatment response?

    2.Are there important differences in

    provider compliance that may diminishthe treatment response?

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    Epidemiologic Issues

    1.Do my patients have co-morbidconditions that significantly alter the

    potential benefits and risks of thetreatment?

    2.Are there important differences in

    untreated patients' risk of adverseoutcomes that might alter the efficiencyof treatment?

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    1.Are there pathophysiologic differences in the

    illness under study that may lead to a

    diminished treatment response?

    a. Divergence in pathogenetic mechanisms.

    Contoh : Orang Negro responsif terhadapdiuretik tetapi tidak responsif terhadap beta-

    blocker.

    b. Biologic Differences in the causative agent.Contoh : Malaria dengan variasi resistensi

    terhadap obat.

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    2.Are there patient differences that may

    diminish the treatment response?a. Differences in drug metabolism.

    Slow metabolizers vs rapid

    metabolizers.Hepatic N-acetyl transferase tinggipada orang Asia sehingga kadar

    isoniazid, hydralazine danprocainamide.

    G-6-PDH terhadap sulfonamide.

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    b. Differences in immune response.

    Hemophilus influenza vaccine has alower efficacy in Alaskan natives than innon-native populations.

    c. Environmental factors.

    Thyroid dysfunction differs in low

    versus high iodine environments.

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    3.Are there important differences in

    patient compliance that may diminishthe treatment response?

    a. Resource limitations in a particularsetting.

    b. Less obvious attitudinal or behavioralidiosyncrasies.

    patient compliance.

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    4.Are there important differences in

    provider compliance that may diminishthe treatment response?

    Meliputi perlengkapan dan peralatandiagnostik, monitoring, interventionserta ketrampilan ahli medis/teknisi.

    Contoh : walaupun rheumatic atrialfibrillation cukup banyak ditemukan dinegara2 Asia, hanya sedikitlaboratorium mampu melakukan testitrasi dosis warfarin.

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    b. Competing etiologies of outcome.

    Di Filipina di suatu RS angka kematiansetelah pemberian streptokinase padaAMI tinggi karena ternyata banyakpenderita disertai pneumonia withsepsis.

    Infark berat sering disertai atrialfibrilasi, bila diberi antikoagulan(warfarin) akan memperolehkeuntungan ganda.

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    6.Are there important differences in

    untreated patients' risk of adverseoutcomes that might alter the efficiencyof treatment?

    NNT = Number Needed to Treat

    RR = Relative Risk

    RRR = Relative Risk ReductionARR = Absolute Risk Reduction

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    NNT = jumlah pasien yang perlu diobatiagar terdapat 1 efek samping =treatments efficiency = kebalikan dari

    ARR.

    Resiko tanpa terapi = 20%

    RRR 10% maka resiko jadi 18%

    Tiap 100 pasien ada pencegahan 2 (2%)

    Maka NNT = 100/2 = 50Jika Resiko tanpa terapi 10%, RRR tetapi

    10% maka NNT 100.

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    Contoh :

    Age standardized mortality rate for CHDdi Jepang = 40/100.000

    North Ireland = 414/100.000

    10 x penurunan insidens menyebabkan10 x kenaikan NNT obat pencegahkematian akibat CHD 10 kalipenurunan efisiensi pengobatan

    Reconsideration of applying the resultsof a trial to low risk patients.

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    DISCUSSION

    RESOLUTION

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    TERIMA

    KASIH