Full Description
Evidence-Based Neonatal Infections is expertly written by David Isaacs, an experienced author renowned for his knowledge in both pediatric infections and evidence-based medicine. It critically analyses the evidence for decision making in neonatal infections.
Evidence-Based Neonatal Infections
* The first evidence-based text on neonatal infections
* Provides practical guidance where evidence is poor
* Complements David Isaacs' Evidence-Based Pediatric Infectious Diseases (9781405148580)
Practical and evidence-based, Evidence-Based Neonatal Infections is designed to help the clinician with day-to-day decisions on the care of newborn babies with possible, probable or proven infections. It considers clinical questions relevant to neonatologists, analysing the evidence carefully and providing recommendations for optimum management of neonatal infectious diseases, whilst reflecting on:
Efficacy and safety
Antibiotic resistance
Cost effectiveness
Adverse effects
Ethical considerations
Evidence-Based Neonatal Infections provides a unique reference for neonatologists, pediatricians, trainees, specialist nurses; general practitioners, microbiologists, infection control doctors, and all staff in neonatal units.
Contents
About the Author, vi
Preface, vii
1 How to search for evidence, 1
2 Epidemiology, 5
3 Clinical manifestations, 16
4 Laboratory tests, 21
5 Rational antibiotic use, 33
6 Adjunctive treatment, 48
7 Bacterial meningitis, 57
8 Respiratory tract infections, 70
9 Osteomyelitis and septic arthritis, 78
10 Urinary tract infections, 86
11 Necrotizing enterocolitis and gastrointestinal infections, 94
12 Eye Infections, 108
13 Skin and soft tissue Infections, 117
14 Bacterial infections, 128
15 Mycoplasmas, 153
16 Fungal infections, 159
17 Viral infections, 175
18 Other congenital infections, 199
19 Breast milk, 214
20 Surveillance, 223
21 Infection control, 229
22 Developing countries, 244
23 Prevention of neonatal infections, 250
24 Neonatal antimicrobials, 269
Index, 291
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- 電子書籍
- 葉巻の美学
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- 電子書籍
- Cyclo Graph 2017
