Could the presence of adrenal incidentaloma negatively affect COVID 19 outcomes?
Background and objective Adrenal incidentalomas (AIs) are lesions larger than 1 cm that are incidentally detected in the adrenal glands. Chest computed tomography (CCT) is widely used in the first evaluation of patients with suspected coronavirus disease (COVID-19) that resulted in many incidental f...
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| Veröffentlicht in: | Endocrine 2023-11, Vol.82 (2), p.406-413 |
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| creator | Guclu, Metin Aslan, Bilal Burcak Setayeshi, Tirdad Kiyici, Sinem |
| description | Background and objective
Adrenal incidentalomas (AIs) are lesions larger than 1 cm that are incidentally detected in the adrenal glands. Chest computed tomography (CCT) is widely used in the first evaluation of patients with suspected coronavirus disease (COVID-19) that resulted in many incidental findings in the thorax and upper abdomen. In this study, we aimed to investigate the frequency of AI and their effects on the course and outcome of COVID-19 regardless of functional status.
Material and methods
We included 2493 patients aged between 18 and 99 years and whose adrenal glands were clearly visible in CCT images. They were divided into two groups: those with AI (AI group) and without AI (Control group).
Results
AI was detected in 148 (5.93%) patients and 80 (54.1%) of them were male. There was no difference in sex distribution between the groups, but the median age of patients with AI was significantly higher than those without AI [54.5 (20–94 years) vs. 42 (18–99 years);
p
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| doi_str_mv | 10.1007/s12020-023-03454-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2841881036</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2870725099</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-3b4a612e6e1530398649c231bec89a342da1834653f33acc7d857c7abc1021a83</originalsourceid><addsrcrecordid>eNp9kEtLxDAQx4Mouj6-gAcJePFSnTzapCeR9QkL60G9hmw61S5tsyatsH56q-sLD55mYH7zH-ZHyD6DYwagTiLjwCEBLhIQMpXJ6xoZsTTNExjm67_6LbId4xyAc56pTbIllNRaghqR27Hv64J2T0gXASO2DqkvqS0CtramVeuqAtvO1r6xtMVH21UvWC-pLUt0HR1PH27OKcup7zvnG4ynu2SjtHXEvc-6Q-4vL-7G18lkenUzPpskTvCsS8RM2oxxzJClAkSuM5k7LtgMnc6tkLywTAuZpaIUwjqnCp0qp-zMMeDMarFDjla5i-Cfe4ydaarosK5ti76PhmvJtGYgsgE9_IPOfR-G994pBYqnkOcDxVeUCz7GgKVZhKqxYWkYmHffZuXbDL7Nh2_zOiwdfEb3swaL75UvwQMgVkAcRu0jhp_b_8S-AWHMiS8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2870725099</pqid></control><display><type>article</type><title>Could the presence of adrenal incidentaloma negatively affect COVID 19 outcomes?</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Guclu, Metin ; Aslan, Bilal Burcak ; Setayeshi, Tirdad ; Kiyici, Sinem</creator><creatorcontrib>Guclu, Metin ; Aslan, Bilal Burcak ; Setayeshi, Tirdad ; Kiyici, Sinem</creatorcontrib><description>Background and objective
Adrenal incidentalomas (AIs) are lesions larger than 1 cm that are incidentally detected in the adrenal glands. Chest computed tomography (CCT) is widely used in the first evaluation of patients with suspected coronavirus disease (COVID-19) that resulted in many incidental findings in the thorax and upper abdomen. In this study, we aimed to investigate the frequency of AI and their effects on the course and outcome of COVID-19 regardless of functional status.
Material and methods
We included 2493 patients aged between 18 and 99 years and whose adrenal glands were clearly visible in CCT images. They were divided into two groups: those with AI (AI group) and without AI (Control group).
Results
AI was detected in 148 (5.93%) patients and 80 (54.1%) of them were male. There was no difference in sex distribution between the groups, but the median age of patients with AI was significantly higher than those without AI [54.5 (20–94 years) vs. 42 (18–99 years);
p
< 0.001)]. In addition, in the AI group, both hospitalizations due to COVID-19-related conditions (30.4 vs. 21.2%,
p
= 0.008) and the mortality rate experienced during this time was significantly higher (14.7 vs. 7%,
p
< 0.001) diseases. The AI group had a significantly higher comorbidity rate than the control group (61.5 vs. 41.9%,
p
< 0.001). The most common comorbid diseases were hypertension, cardiovascular diseases, diabetes mellitus, respiratory system diseases, and hyperlipidaemia. Advanced age and male gender in terms of mortality, advanced age and covid 19 positivity in terms of hospitalization were determined as significant risk factors.
Conclusions
The presence of AI may increase the morbidity and mortality rates associated with COVID-19, regardless of their functional status. Therefore, patients subjected to CCT imaging for COVID-19-related lung diseases should also be evaluated for AI. Careful follow-up of patients with COVID-19 and AI is necessary to monitor the progression of COVID-19.</description><identifier>ISSN: 1559-0100</identifier><identifier>ISSN: 1355-008X</identifier><identifier>EISSN: 1559-0100</identifier><identifier>DOI: 10.1007/s12020-023-03454-z</identifier><identifier>PMID: 37488407</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adolescent ; Adrenal Gland Neoplasms - complications ; Adrenal Gland Neoplasms - diagnostic imaging ; Adrenal Gland Neoplasms - pathology ; Adrenal glands ; Adult ; Age ; Aged ; Aged, 80 and over ; Cardiovascular diseases ; Comorbidity ; Computed tomography ; Coronaviruses ; COVID-19 ; COVID-19 - complications ; Diabetes ; Diabetes Mellitus ; Endocrinology ; Female ; Humanities and Social Sciences ; Humans ; Hyperlipidemia ; Incidental Findings ; Internal Medicine ; Lung diseases ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Morbidity ; Mortality ; multidisciplinary ; Original Article ; Respiratory system ; Risk factors ; Science ; Young Adult</subject><ispartof>Endocrine, 2023-11, Vol.82 (2), p.406-413</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-3b4a612e6e1530398649c231bec89a342da1834653f33acc7d857c7abc1021a83</cites><orcidid>0000-0001-5082-9894</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12020-023-03454-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12020-023-03454-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37488407$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guclu, Metin</creatorcontrib><creatorcontrib>Aslan, Bilal Burcak</creatorcontrib><creatorcontrib>Setayeshi, Tirdad</creatorcontrib><creatorcontrib>Kiyici, Sinem</creatorcontrib><title>Could the presence of adrenal incidentaloma negatively affect COVID 19 outcomes?</title><title>Endocrine</title><addtitle>Endocrine</addtitle><addtitle>Endocrine</addtitle><description>Background and objective
Adrenal incidentalomas (AIs) are lesions larger than 1 cm that are incidentally detected in the adrenal glands. Chest computed tomography (CCT) is widely used in the first evaluation of patients with suspected coronavirus disease (COVID-19) that resulted in many incidental findings in the thorax and upper abdomen. In this study, we aimed to investigate the frequency of AI and their effects on the course and outcome of COVID-19 regardless of functional status.
Material and methods
We included 2493 patients aged between 18 and 99 years and whose adrenal glands were clearly visible in CCT images. They were divided into two groups: those with AI (AI group) and without AI (Control group).
Results
AI was detected in 148 (5.93%) patients and 80 (54.1%) of them were male. There was no difference in sex distribution between the groups, but the median age of patients with AI was significantly higher than those without AI [54.5 (20–94 years) vs. 42 (18–99 years);
p
< 0.001)]. In addition, in the AI group, both hospitalizations due to COVID-19-related conditions (30.4 vs. 21.2%,
p
= 0.008) and the mortality rate experienced during this time was significantly higher (14.7 vs. 7%,
p
< 0.001) diseases. The AI group had a significantly higher comorbidity rate than the control group (61.5 vs. 41.9%,
p
< 0.001). The most common comorbid diseases were hypertension, cardiovascular diseases, diabetes mellitus, respiratory system diseases, and hyperlipidaemia. Advanced age and male gender in terms of mortality, advanced age and covid 19 positivity in terms of hospitalization were determined as significant risk factors.
Conclusions
The presence of AI may increase the morbidity and mortality rates associated with COVID-19, regardless of their functional status. Therefore, patients subjected to CCT imaging for COVID-19-related lung diseases should also be evaluated for AI. Careful follow-up of patients with COVID-19 and AI is necessary to monitor the progression of COVID-19.</description><subject>Adolescent</subject><subject>Adrenal Gland Neoplasms - complications</subject><subject>Adrenal Gland Neoplasms - diagnostic imaging</subject><subject>Adrenal Gland Neoplasms - pathology</subject><subject>Adrenal glands</subject><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cardiovascular diseases</subject><subject>Comorbidity</subject><subject>Computed tomography</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - complications</subject><subject>Diabetes</subject><subject>Diabetes Mellitus</subject><subject>Endocrinology</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Hyperlipidemia</subject><subject>Incidental Findings</subject><subject>Internal Medicine</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>multidisciplinary</subject><subject>Original Article</subject><subject>Respiratory system</subject><subject>Risk factors</subject><subject>Science</subject><subject>Young Adult</subject><issn>1559-0100</issn><issn>1355-008X</issn><issn>1559-0100</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtLxDAQx4Mouj6-gAcJePFSnTzapCeR9QkL60G9hmw61S5tsyatsH56q-sLD55mYH7zH-ZHyD6DYwagTiLjwCEBLhIQMpXJ6xoZsTTNExjm67_6LbId4xyAc56pTbIllNRaghqR27Hv64J2T0gXASO2DqkvqS0CtramVeuqAtvO1r6xtMVH21UvWC-pLUt0HR1PH27OKcup7zvnG4ynu2SjtHXEvc-6Q-4vL-7G18lkenUzPpskTvCsS8RM2oxxzJClAkSuM5k7LtgMnc6tkLywTAuZpaIUwjqnCp0qp-zMMeDMarFDjla5i-Cfe4ydaarosK5ti76PhmvJtGYgsgE9_IPOfR-G994pBYqnkOcDxVeUCz7GgKVZhKqxYWkYmHffZuXbDL7Nh2_zOiwdfEb3swaL75UvwQMgVkAcRu0jhp_b_8S-AWHMiS8</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Guclu, Metin</creator><creator>Aslan, Bilal Burcak</creator><creator>Setayeshi, Tirdad</creator><creator>Kiyici, Sinem</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5082-9894</orcidid></search><sort><creationdate>20231101</creationdate><title>Could the presence of adrenal incidentaloma negatively affect COVID 19 outcomes?</title><author>Guclu, Metin ; Aslan, Bilal Burcak ; Setayeshi, Tirdad ; Kiyici, Sinem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-3b4a612e6e1530398649c231bec89a342da1834653f33acc7d857c7abc1021a83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adolescent</topic><topic>Adrenal Gland Neoplasms - complications</topic><topic>Adrenal Gland Neoplasms - diagnostic imaging</topic><topic>Adrenal Gland Neoplasms - pathology</topic><topic>Adrenal glands</topic><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cardiovascular diseases</topic><topic>Comorbidity</topic><topic>Computed tomography</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - complications</topic><topic>Diabetes</topic><topic>Diabetes Mellitus</topic><topic>Endocrinology</topic><topic>Female</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Hyperlipidemia</topic><topic>Incidental Findings</topic><topic>Internal Medicine</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>multidisciplinary</topic><topic>Original Article</topic><topic>Respiratory system</topic><topic>Risk factors</topic><topic>Science</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guclu, Metin</creatorcontrib><creatorcontrib>Aslan, Bilal Burcak</creatorcontrib><creatorcontrib>Setayeshi, Tirdad</creatorcontrib><creatorcontrib>Kiyici, Sinem</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Endocrine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guclu, Metin</au><au>Aslan, Bilal Burcak</au><au>Setayeshi, Tirdad</au><au>Kiyici, Sinem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Could the presence of adrenal incidentaloma negatively affect COVID 19 outcomes?</atitle><jtitle>Endocrine</jtitle><stitle>Endocrine</stitle><addtitle>Endocrine</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>82</volume><issue>2</issue><spage>406</spage><epage>413</epage><pages>406-413</pages><issn>1559-0100</issn><issn>1355-008X</issn><eissn>1559-0100</eissn><abstract>Background and objective
Adrenal incidentalomas (AIs) are lesions larger than 1 cm that are incidentally detected in the adrenal glands. Chest computed tomography (CCT) is widely used in the first evaluation of patients with suspected coronavirus disease (COVID-19) that resulted in many incidental findings in the thorax and upper abdomen. In this study, we aimed to investigate the frequency of AI and their effects on the course and outcome of COVID-19 regardless of functional status.
Material and methods
We included 2493 patients aged between 18 and 99 years and whose adrenal glands were clearly visible in CCT images. They were divided into two groups: those with AI (AI group) and without AI (Control group).
Results
AI was detected in 148 (5.93%) patients and 80 (54.1%) of them were male. There was no difference in sex distribution between the groups, but the median age of patients with AI was significantly higher than those without AI [54.5 (20–94 years) vs. 42 (18–99 years);
p
< 0.001)]. In addition, in the AI group, both hospitalizations due to COVID-19-related conditions (30.4 vs. 21.2%,
p
= 0.008) and the mortality rate experienced during this time was significantly higher (14.7 vs. 7%,
p
< 0.001) diseases. The AI group had a significantly higher comorbidity rate than the control group (61.5 vs. 41.9%,
p
< 0.001). The most common comorbid diseases were hypertension, cardiovascular diseases, diabetes mellitus, respiratory system diseases, and hyperlipidaemia. Advanced age and male gender in terms of mortality, advanced age and covid 19 positivity in terms of hospitalization were determined as significant risk factors.
Conclusions
The presence of AI may increase the morbidity and mortality rates associated with COVID-19, regardless of their functional status. Therefore, patients subjected to CCT imaging for COVID-19-related lung diseases should also be evaluated for AI. Careful follow-up of patients with COVID-19 and AI is necessary to monitor the progression of COVID-19.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>37488407</pmid><doi>10.1007/s12020-023-03454-z</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-5082-9894</orcidid></addata></record> |
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| subjects | Adolescent Adrenal Gland Neoplasms - complications Adrenal Gland Neoplasms - diagnostic imaging Adrenal Gland Neoplasms - pathology Adrenal glands Adult Age Aged Aged, 80 and over Cardiovascular diseases Comorbidity Computed tomography Coronaviruses COVID-19 COVID-19 - complications Diabetes Diabetes Mellitus Endocrinology Female Humanities and Social Sciences Humans Hyperlipidemia Incidental Findings Internal Medicine Lung diseases Male Medicine Medicine & Public Health Middle Aged Morbidity Mortality multidisciplinary Original Article Respiratory system Risk factors Science Young Adult |
| title | Could the presence of adrenal incidentaloma negatively affect COVID 19 outcomes? |
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