Ye kä yïndë lëu bïn tuany de cuäŋ yï cɔl a lac bɛ̈n?
Urticaria, man ye lac ŋic ke ye tuɛnytuɛny, ee tuɛnytuɛny tɔ̈ në guɔ̈p yic ye kɔc ŋuɛ̈ɛ̈n, ku ye kɔc bɛ̈n ya yɔ̈ɔ̈k.
Kä ye tuaany de cuäŋ bɛ̈i alëu bï kek ya tek yiic në biäk kaa rou: kä ye kek yök në ɣän kɔ̈k yiic ku jɔl ya kä ye kek dhiëëth.
Kä ye kɔc riɔ̈ɔ̈k:
1. Käk tuany: Të ye yïn tɔ̈ në kë ye cɔl 'allergens' yic cïmën de mïïth, wal, käm ye cuäny cam, wala kɔ̈k peei alëu bïk tuanytuɛɛny bɛ̈i ku ka ye cɔl 'urticaria' bɛ̈i.
Lee SJ, Ha EK, Jee HM, Lee KS, Lee SW, Kim MA, Kim DH, Jung YH, Sheen YH, Sung MS, Han MY: Prevalence and Risk Factors of Urticaria With a Focus on Chronic Urticaria in Children. Allergy Asthma Immunol Res. 2017, 9 (3): 212-219.
Zhang X, Song X, Zhang M, Li C, Huang Z, Liu B, Yu M, Liao S, Luan T, Zuberbier T, Maurer M, Zhao Z, Wang L: Prevalence and risk factors of chronic urticaria in China: A nationwide cross-sectional study. Allergy. 2022, 77 (7): 2233-2236.
Pourani MR, Nasiri S, Abdollahimajd F: Prevalence of hand contact urticaria and related risk factors among healthcare workers during the COVID-19 pandemic: A self-reported assessment. Dermatol Ther. 2020, 33 (6): e14367.
Uysal P, Avcil S, Erge D: High-dose anti-histamine use and risk factors in children with urticaria. Turk Pediatri Ars. 2016, 51 (4): 198-203.
Mazur M, Czarnobilska M, Czarnobilska E: Prevalence and potential risk factors of urticaria in the Polish population of children and adolescents. Postepy Dermatol Alergol. 2020, 37 (5): 785-789.
Chen L, Huang X, Xiao Y, Su J, Shen M, Chen X: Prevalence and risk factors of atopic dermatitis, psoriasis, acne, and urticaria in China. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2020, 45 (4): 449-455.
Śpiewak R, Góra-Florek A, Horoch A, Jarosz MJ, Doryńska A, Golec M, Dutkiewicz J: Risk factors for work-related eczema and urticaria among vocational students of agriculture. Ann Agric Environ Med. 2017, 24 (4): 716-721.
['Wɛ̈t cï lueel: wal']
['Wɛbthait kën ee piööc ku wël tɔ̈u thïn ku acie kë ye looi bï kɔc ke akïm ya lɛ̈k wala bï kɔc ke luɔi ya kony.']
['Wël cï kek ya lueel në ye athöör kënë yic acïï lëu bï kek ya kony agonë tuanytuɛny ya ŋic ku bï kek ya kony, ku kɔc wïc kuɔɔny de akïm adhil akïm de akïm ya thiëëc bï kek ya kony.']
['Tiɛ̈ŋë kä ye kuɔɔny de neural net looi, man ye kä ye bɛ̈n në kä cï kek ya thiëëc yiic, aye kek cɔk tɔ̈ ëke cïï kek ye deet yiic në thɛɛr juëc yiic. Cïmën de, ciin de kɔc cï kek yök ëke tuany.']
['Thïëc wɛ̈t akïmdu ka raan dɛ̈t wënë cï piöc ë pialgup wënë cï yök në biäk de tuaany. Duk wɛ̈t akïm ye kuɛ̈ɛ̈c nhom cɔk alɔn cï yen ya kë cï kueen në wɛbthait kënnë yic. Na ye tak ke yïn nɔŋ kë wïc bë yï kony në tuany, cɔl 911 ka lɔɔr në ɣön akïm tɔ̈u të thiääk ke yï në kaam thiin koor yic. Acïn akïm-tuany ye thiääk në yen në wɛbthait kënnë yic ka luɔ̈i de. BioMedLib ka kɔc cï luöi, ka raan ëbɛ̈n ye luui në yen në wɛbthait kënnë yic, acïn kë ye lueel, ye lueel ka ye lueel, në kë de wël cï kek gɔ̈ɔ̈r në ye athöör kënnë yic ka luɔ̈i de.']
['Wɛ̈t cï lueel: copyright']
['Lööŋ ke Digital Millennium Copyright Act de 1998, 17 U.S.C. § 512 (ye DMCA) ee kɔc ye käke kɔc gɔ̈t gam ke kä tɔ̈ në Internet aye käken tɔ̈ në U.S. copyright law dhoŋ kɔ̈th. ']
['Na ye gam në yith ke këriɛ̈ɛ̈c ka kä cï gɔ̈ɔ̈r tɔ̈ në wɛbthaitda ka kuɔɔnyda yic acï löŋ de gël de kä cï gɔ̈ɔ̈r dhoŋ kɔ̈u, ke yïn (ka raan ye yïn luɔ̈ɔ̈i) alëu ba ɣok tuɔ̈c wɛ̈t bï këriɛ̈ɛ̈c ka kä cï gɔ̈ɔ̈r nyaai, ka bï yïn pëën ba lɔ thïn. ']
["Wël aa bë ke tuɔɔc në athöör yic në email (tïŋ 'Rin de athöör' në biäk de email)."]
['DMCA ee wïc lɔnadɛ̈ ke kë ca lueel de kä cï keek gɔ̈ɔ̈r cï keek luɔ̈ɔ̈i anɔŋic wël cï keek gɔ̈ɔ̈r: (1) luɛɛl de kä cï keek luɔ̈ɔ̈i cï keek gɔ̈ɔ̈r cï keek luɔ̈ɔ̈i cï keek lueel; (2) luɛɛl de kä cï keek gɔ̈ɔ̈r cï keek lueel ku wël cï keek lueel bï keek cɔk lëu bïkë kä cï keek gɔ̈ɔ̈r yök; (3) wël bï yïn ke kɔn ya kɔɔr, nɔŋiic adrɛ̈ɛ̈rdu, namba de telepun ku adrɛ̈ɛ̈r de imeel; (4) wɛ̈t cï lueel në yï nhom lɔnadɛ̈ ke yïn ye gam ke kë cï gɔ̈ɔ̈r cï looi në kueer cï yïn ye gaam acie gam në raan de kä cï keek gɔ̈ɔ̈r cï keek luɔ̈ɔ̈i, ka raan de lööŋ, ka në luɔɔi de löŋ; ']
['(5) athöör cï yïn gätpiny në awuɔ̈c de wɛ̈t lueth, lɔnadɛ̈ ke wël tɔ̈ në athöör yic aye yith ku lɔnadɛ̈ ke yïn anɔŋ riɛl ba kä cï gɔ̈t ke lööŋ ke raan nɔŋ nhïïm ya looi në kë cï wuɔ̈ɔ̈c; ']
['Ku (6) ke ye kä cï gɔ̈t ke guɔ̈p ka kä cï gɔ̈t ke mɛ̈ɛ̈t de raan de kä cï luɔ̈ɔ̈i ka raan cï gäm riɛl bï luui në nyin de raan de kä cï luɔ̈ɔ̈i. ']
['Na këc wël cï gɔ̈ɔ̈r nhial tɔ̈u thïn kedhiɛ gɔ̈t, ke ka lëu bï këdun cï yïn gaam ya gääu.']
['Thiëc kek']
['Tuɔɔc email tënë ɣok na nɔŋ këdun thiëc/cï yïn tak.']
What are the risk factors for urticaria?
Urticaria, commonly known as hives, is a skin condition characterized by itchy, raised welts.
The risk factors for urticaria can be divided into two categories: environmental and genetic.
Environmental risk factors:
1. Allergies: Exposure to allergens such as food, medications, insect stings, or latex can trigger an allergic reaction that leads to urticaria.
2. Infections: Certain infections, such as viral infections, can cause urticaria.
3. Physical factors: Exposure to heat, cold, sunlight, or water can cause physical urticaria.
4. Medications: Certain medications, such as nonsteroidal anti-inflammatory drugs (NSAIDs), antibiotics, and aspirin, can cause urticaria.
5. Foods: Certain foods, such as nuts, shellfish, and eggs, can cause urticaria in some individuals.
6. Stress: Emotional stress can trigger urticaria in some people.
7. Autoimmune diseases: Conditions such as lupus and rheumatoid arthritis can increase the risk of urticaria.
8. Underlying medical conditions: Certain medical conditions, such as thyroid disease, can increase the risk of urticaria.
Genetic risk factors:
1. Family history: A family history of urticaria or other allergic conditions can increase the risk of developing urticaria.
2. Genetic predisposition: Certain genetic variations may increase the risk of urticaria.
It is important to note that the exact cause of urticaria is often unknown, and multiple factors may contribute to its development.
Disclaimer: medical
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Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
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['BioMedLib ee kɔmbiötar ke rɔt looi (algorithms ke adit) luɔ̈ɔ̈i bï kä ye thiëëc ku kä ye bɛ̈ɛ̈r ya looi.']
['Ɣok aye gɔ̈t në biomedical 35 million në PubMed/Medline. Ku në webpages de RefinedWeb.']
