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"Laboratory Medicine is an essential text for medical students and residents studying clinical pathology, medical technology students, and for practitioners working in a clinical setting. By selecting the appropriate tests and interpreting the results correctly, physicians using this book should be able to optimize patient outcomes and reduce the cost of achieving a diagnosis.This full-color guide features an easy-to-follow, consistent presentation for each disease discussed. Chapters begin with a brief description of the disorder followed by a discussion that includes tables detailing the laboratory evaluation of specific disorders, and coverage of diagnosis, baseline tests to exclude diagnostic possibilities, and clinical indications thatwarrant further screening and special testing."

"Recognized as the definitive book in laboratory medicine since 1908, Henry's Clinical Diagnosis and Management by Laboratory Methods, edited by Richard A. McPherson, MD and Matthew R. Pincus, MD, PhD, is a comprehensive, multidisciplinary pathology reference that gives you state-of-the-art guidance on lab test selection and interpretation of results. Revisions throughout keep you current on the latest topics in the field, such as biochemical markers of bone metabolism, clinical enzymology, pharmacogenomics, and more!"--Provided by publisher"

"Recognized as the definitive reference in laboratory medicine since 1908, Henry's clinical diagnosis continues to offer state-of-the-art guidance on the scientific foundation and clinical application of today's complete range of laboratory tests. Employing a multidisciplinary approach, it presents the newest information available in the field, including new developments in technologies and the automation platforms on which measurements are performed. Provides guidance on error detection , correction, and prevention, as well as cost-effective test selection. Features a full-color layout , illustrations and visual aids , and an organization based on organ system."

"Latar belakang: Aspergilosis Paru Invasif merupakan penyakit yang berbahaya dan berisiko tinggi kematian. Penelitian mengenai skoring sebelumnya berdasarkan parameter risiko klinis dan biomarker baru untuk memprediksi API. Pada penelitian ini peneliti menggunakan parameter sederhana untuk mendiagnosa API. Tujuan: Studi ini bertujuan untuk mengembangkan model diagnosis API berdasarkan karakteristik klinis, laboratorium, foto toraks dan komorbid. Metode: Penelitian ini dilaksanakan dengan desain potong lintang, secara retrospeksif, menggunakan data rekam medis di RS Dr. Cipto Mangunkusumo (RSCM) sejak Januari 2018 hingga Desember 2022. Model determinan diagnosis Aspergilosis Paru Invasif dikembangkan dari analisis multivariat dengan regresi logistik kemudian diuji performa dan validitas internalnya. Hasil: Total sampel sebanyak 227 pasien dengan eksklusi sebanyak 20 pasien dan yang dilakukan analisis sebanyak 207 pasien. Dua ratus tujuh subjek terdiri dari 110 pasien API dan 97 pasien non-API. Pada penelitian ini demam memiliki skor 2, konsolidasi memiliki skor 2, fibrosis memiliki skor 1, jumlah neutrofil absolut memiliki skor 1, penggunaan steroid memiliki skor 2, Neutrophil Lymphocyte Ratio (NLR) memiliki skor 1. AUC =0.771, p< 0.05 yang menunjukkan hasil performa skor sedang untuk membedakan faktor determinan API. Kesimpulan: Penelitian ini menghasilkan diagnosis API,demam skor 2, konsolidasi skor 2, fibrosis skor 1, jumlah neutrofil absolut skor 1, penggunaan steroid skor 2, NLR skor 1. Skor 0-4 memiliki probabilitas 43,67% atau risiko rendah dan skor 5-8 memliki probabilitas 83,67% atau risiko tinggi faktor-faktor determinan API.

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Background: The diagnosis of IPA is complex because it relies on clinical, radiological, and microbiological criteria. Microbiology is at the core of most diagnostic tests/criteria; however, the results take a lot of time. Researchers use a combination of clinical, radiological, laboratory, and comorbid characteristics to diagnose IPA. Objective : This study aims developed IPA diagnosis model based on clinical characteristics, chest X Ray and patients comorbid. Method: This research was carried out with cross sectional design, retrospectively, using medical record data at Dr. Cipto Mangunkusumo (RSCM) from January 2018 to December 2022. The determinant model for the diagnosis of Invasive Pulmonary Aspergillosis was developed from multivariate analysis with logistic regression and then tested for performance and internal validity. Results: The total sample was 227 patients with the exclusion of 20 patients and 207 patients were analyzed. Two hundred seven subjects consisted of 115 IPA patients and 92 non-IPA patients. In the multivariate analysis this study involved fever, consolidation, fibrosis, absolute neutrophil count, Neutrophil Lymphocyte Ratio (NLR), and steroid used. In this study, fever had a score of 2, consolidation had a score of 2, fibrosis had a score of 1, absolute neutrophil count had a score of 1, steroid had a score of 2. AUC = 0.771, p< 0.05. Conclusion: This study resulted in a diagnosis of API, fever score 2, consolidation score 2, fibrosis score 1, absolute neutrophil count score 1, steroid score 2. A score of 0-4 has a probability of 43.67% or low risk and a score of 5-8 has a probability of 83.67% or high risk API determinant factors."