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[{"key": "dc.contributor.advisor", "value": "Juutinen, Taija", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Kimmo, Aarni", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2014-12-03T12:07:52Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2014-12-03T12:07:52Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2014", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1453126", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/44804", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Tutkimuksen tarkoituksena oli selvitt\u00e4\u00e4 kuivaverianalyysin yhteyksi\u00e4 kliinisiin verimuuttujiin,\r\nerityisesti laskoon. Lis\u00e4ksi menetelm\u00e4n luotettavuutta arvioitiin vertailemalla samalta\r\nkoehenkil\u00f6lt\u00e4 ker\u00e4ttyj\u00e4 A- ja B-n\u00e4ytteit\u00e4. Kuivaverianalyysiss\u00e4 sormenp\u00e4\u00e4verin\u00e4ytteest\u00e4\r\nker\u00e4t\u00e4\u00e4n n\u00e4ytelasille useita veripisaroita, joiden annetaan kuivua. Pisaroiden kuivuessa niihin\r\nmuodostuu digitoiduissa n\u00e4ytteiss\u00e4 valkoisina erottuvia alueita. Droppi Veripalvelun\r\nOy:n vuonna 2012 kehitt\u00e4m\u00e4t algoritmit laskevat valkoisten alueiden prosentuaalisen osuuden\r\nn\u00e4ytteiss\u00e4. Goldbergerin (1939) tutkimuksen perusteella laskon ja kuivaveren valkoisuuden\r\nv\u00e4lill\u00e4 on yhteys. Kirjallisuuden perusteella on oletettavissa, ett\u00e4 fibrinogeenill\u00e4,\r\nalbumiinilla ja immunoglobuliineilla on yhteys laskoon, joten my\u00f6s n\u00e4it\u00e4 muuttujia valittiin\r\ntarkasteluun.\r\nTutkimusjoukko koostui 50 vapaaehtoisesta (24 miest\u00e4 ja 26 naista), joiden ik\u00e4\r\nvaihteli 22\u201399 vuoden v\u00e4lill\u00e4. Koehenkil\u00f6ilt\u00e4 ker\u00e4ttiin yhden tutkimusk\u00e4ynnin aikana laskimoverin\u00e4yte\r\nnelj\u00e4\u00e4n koeputkeen ja sormenp\u00e4\u00e4verin\u00e4yte. Sormenp\u00e4\u00e4verin\u00e4yte ker\u00e4ttiin\r\nn\u00e4ytelasille ja sen annettiin kuivaa, mink\u00e4 j\u00e4lkeen n\u00e4yte digitoitiin ja se ladattiin Dropperkuivaveripalvelun\r\npilvipalvelimelle anonyymin\u00e4 valkoisuusprosentin m\u00e4\u00e4ritt\u00e4mist\u00e4 varten.\r\nLaskimoverin\u00e4ytteist\u00e4 m\u00e4\u00e4ritettiin kliiniset verimuuttujat.\r\nTutkimuksessa ker\u00e4ttyjen A- ja B-n\u00e4ytteiden v\u00e4linen tyypillinen virhe valkoisuusprosentissa\r\noli 2,21 mittayksikk\u00f6\u00e4. N\u00e4ytesarjojen v\u00e4linen korrelaatio oli 0,729 merkitsevyystasolla\r\np \u2264 0,001. Kuivaveren valkoisuuden ja laskon v\u00e4linen korrelaatio oli 0,470\r\nmerkitsevyystasolla p \u2264 0,001. Valkoisuuden ja laskon yhteytt\u00e4 kuvaavan polynomisen\r\nmallin selitysasteeksi tuli 83,3 %. Yhteyden kuvaamiseksi sovitettiin my\u00f6s kaksivaiheinen\r\nlineaarinen malli. Kuivaveren valkoisuuden havaittiin korreloivan fibrinogeenin (P-FIBR),\r\nneutrofiilien m\u00e4\u00e4r\u00e4n (NEUT#), valkosolujen m\u00e4\u00e4r\u00e4n, immunoglobuliini A:n (S-IgA) ja hemoglobiinin\r\n(HGB) sek\u00e4 punasolujen kokojakauman (RDW_CV) ja herk\u00e4n CRP:n kanssa.\r\nTulosten pohjalta rakennettiin valkoisuuden m\u00e4\u00e4r\u00e4\u00e4 kuvaava malli: KV% = 0,285*NEUT#\r\n+ 0,179*P-FIBR + 0,163*RDW_CV + 0,096*S-IgA \u2013 0,103*HGB, jonka selitysasteeksi\r\ntuli 54,3 %.\r\nTutkimustulokset vahvistavat Goldbergerin (1939) saamat tulokset siit\u00e4, ett\u00e4 kuivaveren\r\nvalkoisuuden m\u00e4\u00e4r\u00e4n ja laskon v\u00e4lill\u00e4 on yhteys. Lis\u00e4ksi tutkimuksen tulokset viittaavat\r\nsiihen, ett\u00e4 kuivaveren valkoisuusprosentti on tulehdusmarkkeri. Menetelm\u00e4n toistettavuus\r\nvaikuttaa riitt\u00e4v\u00e4lt\u00e4, jotta sit\u00e4 voidaan k\u00e4ytt\u00e4\u00e4 valkoisuusprosentin vaihtelun mittaamiseen.", "language": "", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "The purpose of the study was to determine if there are associations between dry blood analysis\r\nand clinical blood variables, in particular, the erythrocyte sedimentation rate. Reliability\r\nof the method was assessed by comparing A- and B-samples collected from the same\r\nsubject. In the dry blood analysis multiple blood drops are collected on a glass slide and\r\nthey are allowed to dry. As the dried blood samples are digitized, some areas in the samples\r\nappear white in colour. Algorithms developed by Droppi Veripalvelu Oy in 2012 calculate\r\nthe percentage of white areas in the samples. According to a study made by Goldberger\r\n(1939), there is an association between the erythrocyte sedimentation rate and the white\r\nareas in the dry blood samples. Based on literature, fibrinogen, albumin and immunoglobulins\r\nmay be associated with the erythrocyte sedimentation rate, thus they were also examined.\r\nThe study group consisted of 50 volunteers (24 men and 26 women), aged between\r\n22 and 99. During one laboratory visit, venous blood samples were collected into four vials\r\nfor analysis of clinical blood variables. A dry blood test was taken from a finger prick collection\r\nand was allowed to dry. Once dry, the sample was digitized and downloaded on the\r\nDropper-kuivaveripalvelu cloud server for the determination of the percentage of white\r\nareas. Typical error between the A- and B-samples collected in the study was 2.21 measurement\r\nunits. The correlation between A- and B-samples was 0.729 at a significance level\r\nof p \u2264 0.001. The correlation between the percentage of white areas and the erythrocyte\r\nsedimentation rate was 0.470 at a significance level of p \u2264 0.001. The coefficient of determination\r\nfor a polynomial model of the percentage of white areas and erythrocyte sedimentation\r\nrate was 83.3 %. A bi-phase model was also utilized to describe the connection between\r\nwhite areas and erythrocyte sedimentation rate. The percentage of white areas in the\r\ndry blood samples correlates with the amount of fibrinogen (P-FIBR), number of neutrophils\r\n(NEUT#), number of white blood cells, immunoglobulin A (S-IgA) and haemoglobin\r\n(HGB) as well as red blood cell distribution width (RDW_CV) and high sensitivity CRP. A\r\nmodel to describe the whiteness of dry blood samples was created: KV% = 0.285*NEUT# +\r\n0.179*P-FIBR + 0.163*RDW_CV + 0.096*S-IgA \u2013 0.103*HGB. The coefficient of determination\r\nfor the model was 54.3 %.\r\nThe results confirm Goldberger\u2019s (1939) original discovery that there is a connection\r\nbetween the amount of white areas in dry blood samples and the erythrocyte sedimentation\r\nrate. The results also point out that the percentage of white areas in dry blood samples\r\nis likely to be an inflammation marker. The method used seems to be reliable enough\r\nto be used to determine changes in the whiteness of dry blood samples.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Aarni Kimmo (aakimmo) on 2014-12-03 12:07:51.609603. Form: Pro gradu -lomake (https://kirjasto.jyu.fi/julkaisut/julkaisulomakkeet/pro-gradu-lomake). JyX data: [jyx_publishing-allowed (fi) =True]", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija@noreply.fi) on 2014-12-03T12:07:52Z\r\nNo. of bitstreams: 2\r\nURN:NBN:fi:jyu-201412033421.pdf: 1866839 bytes, checksum: 900a529f46608c0f566f88630bf593be (MD5)\r\nlicense.html: 4800 bytes, checksum: 874fb7372aa3a5a454708d6cb9417809 (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2014-12-03T12:07:52Z (GMT). No. of bitstreams: 2\r\nURN:NBN:fi:jyu-201412033421.pdf: 1866839 bytes, checksum: 900a529f46608c0f566f88630bf593be (MD5)\r\nlicense.html: 4800 bytes, checksum: 874fb7372aa3a5a454708d6cb9417809 (MD5)\r\n Previous issue date: 2014", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "1 verkkoaineisto (79 sivua)", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "immunoglobuliini", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "fibrinogeeni", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Kuivaveren valkoisuus ja kliiniset verimuuttujat", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201412033421", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Liikuntatieteellinen tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Sport and Health Sciences", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Liikuntabiologian laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Biology of Physical Activity", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Liikuntafysiologia", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, 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"qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "5011", "language": null, "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "veri", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "verisolut", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "veriplasma", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "albumiinit", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": 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