{"id":6857,"date":"2011-09-23T16:20:31","date_gmt":"2011-09-23T14:20:31","guid":{"rendered":"https:\/\/www.famelab.gr\/?p=6857"},"modified":"2025-10-30T09:04:54","modified_gmt":"2025-10-30T09:04:54","slug":"a-novel-model-to-predict-cutaneous-finger-blood-flow-via-finger-and-rectal-temperatures","status":"publish","type":"post","link":"https:\/\/famelab.gr\/el\/a-novel-model-to-predict-cutaneous-finger-blood-flow-via-finger-and-rectal-temperatures\/","title":{"rendered":"A novel model to predict cutaneous finger blood flow via finger and rectal temperatures"},"content":{"rendered":"<p><span style=\"color: #000000;\"> <a href=\"https:\/\/www.famelab.gr\/a-novel-model-to-predict-cutaneous-finger-blood-flow-via-finger-and-rectal-temperatures\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignright wp-image-4251 size-medium\" title=\"FAME Lab - A novel model to predict cutaneous finger blood flow via finger and rectal temperatures\" src=\"https:\/\/www.famelab.gr\/wp-content\/uploads\/2021\/07\/112-279x300.png\" alt=\"FAME Lab - A novel model to predict cutaneous finger blood flow via finger and rectal temperatures\" width=\"279\" height=\"300\" \/><\/a><a href=\"https:\/\/www.famelab.gr\/people\/\" target=\"_blank\" rel=\"noopener noreferrer\">Carrillo AE<\/a>, Cheung SS, <a href=\"https:\/\/www.famelab.gr\/people\/\" target=\"_blank\" rel=\"noopener noreferrer\">Flouris AD<\/a>. A novel model to predict cutaneous finger blood flow via finger and rectal temperatures. Microcirculation. 2011 Nov;18(8):670-6. doi: 10.1111\/j.1549-8719.2011.00136.x. PMID: 21951311.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Abstract:<\/strong><\/span><\/p>\n<p>Objectives: To generate a model that predicts fingertip blood flow (BF(f) ) and to cross-validate it in another group of subjects.<\/p>\n<p>Methods: We used fingertip temperature (T(f)), forearm temperature minus T(f) (T(For-f)), rectal temperature (T(re)), and their changes across time ((lag) T) to estimate BF(f). Ten participants (six male, four female) were randomly divided into &#8220;model&#8221; and &#8220;validation&#8221; groups. We employed a passive hot-cold water immersion protocol during which each participant&#8217;s core temperature increased and decreased by 0.5\u00b0C above\/below baseline during hot\/cold conditions, respectively. A hierarchical multiple linear regression analysis was introduced to generate models using temperature indicators and (lag) T (independent variables) obtained from the model group to predict BF(f) (dependent variable).<\/p>\n<p>Results: Mean BF(f) (109.5 \u00b1 158.2 PU) and predicted BF(f) (P-BF(f)) (111.4 \u00b1 136.7 PU) in the model group calculated using the strongest (R(2) = 0.766, p &lt; 0.001) prediction model [P-BF(f) =T(f) \u00d7 19.930 + (lag4) T(f) \u00d7 74.766 + (lag4) T(re) \u00d7 124.255 &#8211; 447.474] were similar (p = 0.6) and correlated (r = 0.880, p &lt; 0.001). Autoregressive integrated moving average time-series analyses demonstrated a significant association between P-BF(f) and BF(f) (R(2) = 0.381; Ljung-Box statistic = 8.097; p &lt; 0.001) in the validation group.<\/p>\n<p>Conclusions: We provide a model that predicts BF(f) via two practical temperature indicators that can be implemented in both clinical and field settings.<\/p>\n<p><span style=\"color: #000000;\"><strong>Full Text Link: <\/strong><\/span><\/p>\n<p><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21951311\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/pubmed.ncbi.nlm.nih.gov\/21951311\/<\/a><\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-8302 size-full\" src=\"https:\/\/www.famelab.gr\/wp-content\/uploads\/2021\/11\/Line.png\" alt=\"\" width=\"1316\" height=\"1\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Carrillo AE, Cheung SS, Flouris AD. A novel model to predict cutaneous finger blood flow via finger and rectal temperatures. Microcirculation. 2011 Nov;18(8):670-6. doi: 10.1111\/j.1549-8719.2011.00136.x. PMID: 21951311. Abstract: Objectives: To generate a model that predicts fingertip blood flow (BF(f) ) and to cross-validate it in another group of subjects. Methods: We used fingertip temperature (T(f)), [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48],"tags":[],"class_list":["post-6857","post","type-post","status-publish","format-standard","hentry","category-fame-lab-publications-2011"],"_links":{"self":[{"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/posts\/6857","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/comments?post=6857"}],"version-history":[{"count":1,"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/posts\/6857\/revisions"}],"predecessor-version":[{"id":16661,"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/posts\/6857\/revisions\/16661"}],"wp:attachment":[{"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/media?parent=6857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/categories?post=6857"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/famelab.gr\/el\/wp-json\/wp\/v2\/tags?post=6857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}