Dataset Information

Impact of newly diagnosed diabetes on coronavirus disease 2019 severity and hyperglycemia.

ABSTRACT:

Aims/introduction

Diabetes is associated with poor clinical outcomes of coronavirus disease 2019 (COVID-19). However, the impact of newly diagnosed diabetes on prognosis has not been clarified. The objective of this study was to show the features and outcome of COVID-19 patients with newly diagnosed diabetes in Japan.

Materials and methods

We retrospectively analyzed 62 patients with diabetes hospitalized for COVID-19 between 1 April and 18 August 2021 at the National Center for Global Health and Medicine in Tokyo, Japan. We evaluated the worst severity of COVID-19 and plasma blood glucose levels in patients with newly diagnosed diabetes or pre-existing diabetes.

Results

This study included 62 confirmed COVID-19 patients with diabetes, including 19 (30.6%) patients with newly diagnosed diabetes and 43 (69.4%) patients with pre-existing diabetes. Patients with newly diagnosed diabetes significantly progressed to a critical condition more frequently during hospitalization than patients with pre-existing diabetes (52.6% vs 20.9%, P = 0.018). In addition, patients with newly diagnosed diabetes had significantly higher average plasma blood glucose levels for the first 3 days after admission than those with pre-existing diabetes.

Conclusions

Our study suggests that the proportion of COVID-19 patients who are newly diagnosed with diabetes is high, and they have an increased risk of developing severe disease than those with pre-existing diabetes. It might be advisable that at the point of COVID-19 diagnosis, blood glucose and glycated hemoglobin levels be assessed in all patients.

SUBMITTER: Uchihara M

PROVIDER: S-EPMC9153833 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Impact of newly diagnosed diabetes on coronavirus disease 2019 severity and hyperglycemia.

Uchihara Masaki M Bouchi Ryotaro R Kodani Noriko N Saito Sho S Miyazato Yusuke Y Umamoto Kotaro K Sugimoto Hirofumi H Kobayashi Michi M Hikida Sayaka S Akiyama Yutaro Y Ihana-Sugiyama Noriko N Ohsugi Mitsuru M Tanabe Akiyo A Ueki Kohjiro K Takasaki Jin J Hojo Masayuki M Kajio Hiroshi H

Journal of diabetes investigation 20220207 6

<h4>Aims/introduction</h4>Diabetes is associated with poor clinical outcomes of coronavirus disease 2019 (COVID-19). However, the impact of newly diagnosed diabetes on prognosis has not been clarified. The objective of this study was to show the features and outcome of COVID-19 patients with newly diagnosed diabetes in Japan.<h4>Materials and methods</h4>We retrospectively analyzed 62 patients with diabetes hospitalized for COVID-19 between 1 April and 18 August 2021 at the National Center for G ...[more]

PMID: 35075818

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Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has rapidly and dramatically influenced healthcare across Japan. However, the influence of the COVID-19 pandemic on the number of newly diagnosed cancer, surgical treatment, and diagnostic examination for cancer types have not been completely investigated all over Japan. This study aimed to analyze the number of cases before and during the COVID-19 pandemic.MethodsThis retrospective study was a survey that asked to provide the number of cases diagnosed with gastric, colorectal, lung, breast, and cervical cancer between January 2019 and December 2020. The survey was sent to tertiary healthcare hospitals, including national cancer institutions, university hospitals, and general hospitals, all over Japan. Data obtained from 105 of 486 surveyed hospitals were evaluated, and the number of cases in each quarter in 2020 was compared with that in the equivalent quarter in 2019.ResultsIn the second quarter (Q2), significant reductions were observed in the median number of newly diagnosed cases from 2019 to 2020: gastric cancer, 26.7% (43 vs. 32, p < 0.001); colorectal cancer, 17.9% (52 vs. 40, p < 0.001); lung cancer, 12.3% (53.5 vs. 47, p < 0.001); and breast cancer, 13.1% (43 vs. 35.5, p < 0.001). A significant reduction of 11.4% (9 vs. 8, p = 0.03) was observed in the third quarter (Q3) for cervical cancer. In Q2, the number of cases decreased by 30.9% (25 vs. 15, p < 0.001) for stage I gastric cancer, by 27.3% (12 vs. 9, p < 0.001) for stage I colorectal cancer, and by 17.6% (13 vs. 10, p < 0.001) for stage II breast cancer. The magnitude of reduction was significant for the localized stages of gastric, colorectal, and breast cancer according to diagnostic examinations in Q2 and surgical and endoscopic treatment in Q3 rather than that for lung or cervical cancer.ConclusionsCOVID-19 has prolonged collateral effects on cancer care, including examination, diagnosis, and surgery, with significant effects on gastric cancer, followed by colorectal, lung, breast, and cervical cancer in Japan.

Project description:SubjectsEarly detection of coronavirus disease 2019 in patients likely to develop severe manifestations enables appropriate interventions, including rapid ICU admission. This study was conducted to determine whether noninvasive urine biomarkers can predict the clinical severity of coronavirus disease 2019.InterventionsNot applicable.Measurements and main resultsThis is single-center study, national center hospital designated for infectious disease. Fifty-eight patients who tested positive for severe acute respiratory syndrome coronavirus 2 in respiratory specimens through real-time reverse transcription-polymerase chain reaction were retrospectively studied. Urinary β2-microglobulin, liver-type fatty acid-binding protein were serially measured. Serum interferon-γ and monocyte chemotactic protein-1 were also evaluated. The 58 patients were assigned into three groups. Patients requiring intensive care were assigned to the severe group (n = 12). Patients treated with oxygen were assigned to the moderate group (n = 13). Other patients were assigned to the mild group (n = 33). Urine tests revealed that low β2-microglobulin and liver-type fatty acid-binding protein levels were associated with mild disease, whereas high levels were associated with severe disease. In severe cases, liver-type fatty acid-binding protein tended to be persistently high. The resulting cutoff values were β2-microglobulin; severe versus moderate + mild: 2,457 μg/dL (specificity 76.9% and sensitivity 90.0%, area under the receiver operating characteristic curve 85.9%), liver-type fatty acid-binding protein; severe versus moderate + mild: 22.0 μg/gCre (specificity 84.6% and sensitivity 90%, area under the receiver operating characteristic curve 91.8%). Urinary β2-microglobulin and serum interferon-γ/monocyte chemotactic protein-1 showed a similar trend.ConclusionsEvaluating urinary biomarkers such as β2-microglobulin and liver-type fatty acid-binding protein may allow determination of coronavirus disease 2019 patients with active cytokines and recognition of patients likely to become critically ill and requiring careful observation and early intervention.

Dataset Information

Impact of newly diagnosed diabetes on coronavirus disease 2019 severity and hyperglycemia.

Aims/introduction

Materials and methods

Results

Conclusions

Publications

Impact of newly diagnosed diabetes on coronavirus disease 2019 severity and hyperglycemia.

Similar Datasets

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