A02.9 Salmonella infection, unspecified

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Found partially in the 130 (130) ⓘ✘Found partially in the 130 drugs (130 of these, according to Kiberis statistics) in 0 selected books (authors) ... hide

Effect Influence Cases ⓘ ✘ Effect - how much the symptom improves in one treatment cycle on average. Example: drug Pain relief for cancer pain-Effectiveness (E) is high, but the effect (I) negative, because the patient will get worse over time.
Influence of the symptom on the outcome of the patient's treatment as a whole (i.e., the importance of the symptom). Example: menopause can not be cured (E low). But some means during menopause will be better than others (I high).
Cases - the number of investigated treatment results for a given complaint, on the basis of which the effect and effect were calculated. These cases have already passed automatic AI verification of data quality and reliability.

a02.9 salmonella infection, unspecified
100%+17%11 Hidden. Need a subscription
99%+0%12 read Cinnabsin
93%+10%13 read Okoubaka aubrevillei
91%+0%4 read Anthracinum nosode
89%+40%5 read Sound bioresonance therapy
88%+6%23 read Galium-heel
85%+15%3 read Nux moschata
85%+22%7 read Ferrum metallicum
84%+18%5 read Teucrium marum verum
83%+19%8 read Alumina
82%+17%21 read Sanguinaria canadensis
81%+15%10 read Carduus marianus
81%+35%9 read Apis mellifica
81%+42%3 read Agraphis nutans
80%+14%38 read Crotalus horridus
79%+6%13 read Tonsilla compositum
79%+14%5 read Cerebrum compositum n
79%+16%114 read Natrum sulphuricum
78%+12%7 read Sulphur iodatum
76%+19%29 read Hydrastis canadensis
76%-4%4 read Carbolicum acidum
76%+19%8 read Ptelea trifoliata
72%+19%12 read Dulcamara
72%+6%5 read Mercurius corrosivus
72%+5%87 read Mucosa compositum
71%+17%8 read Kali muriaticum
71%+12%31 read Chininum arsenicosum
70%+15%10 read Iberis amara
70%+19%8 read Mercurius dulcis
69%+32%9 read Hyoscyamus niger
69%+8%64 read Echinacea compositum sn
69%+30%4 read Petroleum
68%+25%33 read China officinalis
68%-3%8 read Chininum sulphuricum
68%+3%15 read Ubichinon compositum
68%+25%9 read Lac caninum
66%+23%7 read Stramonium
66%+36%7 read Stannum metallicum
66%+30%8 read Coccus cacti
65%+13%8 read Laurocerasus officinalis
65%+12%39 read Arnica montana
65%+23%10 read Cinnabaris
64%+22%3 read Syphilinum
64%-2%6 read Carcinosinum burnett
64%-7%17 read Traumeel s
63%+4%10 read Drosera rotundifolia
63%+18%9 read Senega officinalis
63%-2%13 read Nux vomica-homaccord
62%-4%6 read Bronchalis-heel
62%+2%13 read Flower of Bach 10 Crab apple
62%+7%11 read Radium bromatum
59%+18%7 read Calcarea fluorata
59%+9%17 read Ferrum phosphoricum
58%+22%24 read Baryta carbonica
58%+24%7 read Sabadilla officinalis
58%+6%31 read Medorrhinum
58%+5%62 read Causticum hahnemanni
57%-5%12 read Natrum carbonicum
56%+7%16 read Ipecacuanha
56%+16%60 read Tuberculinum bovinum kent
56%+13%169 read Phosphorus
55%+5%6 read Psorinoheel n
55%+18%11 read Phytolacca decandra
55%+11%125 read Silica terra
54%-10%11 read Sanicula aqua
54%+5%17 read Chelidonium majus
54%+14%18 read Momordica compositum
53%+14%19 read Spongia tosta
52%+0%8 read Angin-heel sd
52%+20%5 read Platinum metallicum
52%+0%28 read Lymphomyosot
52%+16%16 read Arsenicum iodatum
52%-4%11 read Scilla maritima
50%+2%6 read Reneel n
50%+13%111 read Sepia officinalis
50%+37%4 read Kali bromatum
50%+15%27 read Gelsemium sempervirens
50%+9%105 read Kalium carbonicum
50%+13%40 read Belladonna
49%+2%22 read Antimonium tartaricum
48%+19%7 read Sarsaparilla officinalis
48%+9%61 read Bryonia alba
48%-16%8 read Kali phosphoricum
47%+17%201 read Pulsatilla nigricans
47%+14%124 read Arsenicum album
47%-18%8 read Ruta graveolens
46%+10%171 read Natrum muriaticum
46%+0%8 read Hepeel
45%+9%7 read Carboneum sulphuratum
45%+7%19 read Calcarea phosphorica
44%+2%76 read Rhus toxicodendron
44%+8%13 read Baryta muriatica
44%+0%7 read Kali sulphuricum
43%+9%7 read Coenzyme compositum
43%+8%119 read Calcarea carbonica
42%-3%73 read Thuja occidentalis
42%-1%56 read Hepar sulphuris calcareum
41%+4%22 read Ignatia amara
41%+11%10 read Cina maritima
41%+15%9 read Argentum metallicum
41%+9%22 read Psorinum
39%+6%200 read Sulphur
39%-7%12 read Spigelia anthelmia
39%+2%116 read Lachesis muta
38%+7%23 read Acidum nitricum
38%+6%154 read Lycopodium clavatum
38%+5%8 read Sticta pulmonaria
37%-8%9 read Pyrogenium
36%-5%28 read Staphysagria
36%+1%34 read Graphites naturalis
36%+13%13 read Conium maculatum
35%+29%6 read Allium cepa
35%+3%13 read Berberis vulgaris
35%+6%8 read Crataegus oxyacantha
35%+1%15 read Aconitum napellus
33%+15%46 read Mercurius solubilis
32%+0%5 read Veratrum album
30%+7%7 read Iris versicolor
29%+4%36 read Kali bichromicum
28%+1%9 read Calcarea sulphurica
27%-32%9 read Mezereum
27%-5%63 read Nux vomica
26%+8%10 read Borax veneta
25%-8%6 read Rumex crispus
24%-11%6 read Digitalis purpurea
23%+1%20 read Argentum nitricum
22%-20%10 read Zincum metallicum
16%-13%6 read Mercurius iodatus ruber
14%-7%21 read Carbo vegetabilis
0%-15%5 read Discus compositum

Tree of ICD-10 diagnoses

A02.9 Salmonella infection, unspecified (Selected ICD-10 diagnosis)
A02.0 Salmonella enteritis
A02.1 Salmonella sepsis

Description
Related diseases
Related clinical guidelines
Basic medical services
Clinics for treatment

Other names and synonyms

A02.9.

Палочка рода Сальмонелла - возбудитель сальмонеллеза

Description

There is no detailed description, see related

Related diseases

Диагностическая программа при сальмонеллезе

Related clinical guidelines

Рост Salmonella typhimurium на питательной среде MSRV агар.

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