Depressive symptoms of female nursing staff working in stressful environments and their association with serum creatine kinase and lactate dehydrogenase – a preliminary study

Kato, Ayako; Sakakibara, Hiroyuki; Tsuboi, Hirohito; Tatsumi, Asami; Akimoto, Masanobu; Shimoi, Kayoko; Ishii, Takeshi; Kaneko, Hiroshi; Nakayama, Tsutomu; Ohashi, Norio

doi:10.1186/1751-0759-8-21

Cited by 9 publications

(9 citation statements)

References 13 publications

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“…However, it had been claimed that the decrease of LDH had no clinical significance until it was found to decrease in psychological depression ( 33 ). There still has been reported that LDH might be dropped within people who presented the depressive symptoms when working in stressful environments ( 34 ). In our study, we have already noticed the patients’ psychological situation and the corresponding psychotherapy could influence the recovery.…”

Section: Discussionmentioning

confidence: 99%

A Retrospective and Multicenter Study on COVID-19 in Inner Mongolia: Evaluating the Influence of Sampling Locations on Nucleic Acid Test and the Dynamics of Clinical and Prognostic Indexes

Lan

Wang

et al. 2022

Front. Med.

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COVID-19 is spreading widely, and the pandemic is seriously threatening public health throughout the world. A comprehensive study on the optimal sampling types and timing for an efficient SARS-CoV-2 test has not been reported. We collected clinical information and the values of 55 biochemical indices for 237 COVID-19 patients, with 37 matched non-COVID-19 pneumonia patients and 131 healthy people in Inner Mongolia as control. In addition, the results of dynamic detection of SARS-CoV-2 using oropharynx swab, pharynx swab, and feces were collected from 197 COVID-19 patients. SARS-CoV-2 RNA positive in feces specimen was present in approximately one-third of COVID-19 patients. The positive detection rate of SARS-CoV-2 RNA in feces was significantly higher than both in the oropharynx and nasopharynx swab (P < 0.05) in the late period of the disease, which is not the case in the early period of the disease. There were statistically significant differences in the levels of blood LDH, CRP, platelet count, neutrophilic granulocyte count, white blood cell number, and lymphocyte count between COVID-19 and non-COVID-19 pneumonia patients. Finally, we developed and compared five machine-learning models to predict the prognosis of COVID-19 patients based on biochemical indices at disease onset and demographic characteristics. The best model achieved an area under the curve of 0.853 in the 10-fold cross-validation.

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Section: Discussionmentioning

confidence: 99%

A Retrospective and Multicenter Study on COVID-19 in Inner Mongolia: Evaluating the Influence of Sampling Locations on Nucleic Acid Test and the Dynamics of Clinical and Prognostic Indexes

Lan

Wang

et al. 2022

Front. Med.

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“…CK is an important enzyme that catalyses the reversible phosphorylation of ATP and creatine to ADP and phosphocreatine in cellular energy metabolism 15 , 16 . CK is present as three isoenzymes: CK-MB (mostly in the heart), CK-MM (mostly in the muscle), or CK-BB (mostly in the brain) 17 .…”

Section: Discussionmentioning

confidence: 99%

Repeated use of SSRIs potentially associated with an increase on serum CK and CK-MB in patients with major depressive disorder: a retrospective study

Zhou

Xuan

et al. 2021

Sci Rep

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There is a large amount of evidence that selective serotonin reuptake inhibitors (SSRIs) are related to cardiovascular toxicity, which has aroused concern regarding their safety. However, few studies have evaluated the effects of SSRIs on cardiac injury biomarkers, such as creatine kinase (CK) and creatine kinase isoenzyme (CK-MB). The purpose of our study was to determine whether SSRIs elevated CK and CK-MB levels of prior medicated depressive patients (PMDP) compared to first-episode drug-naïve depressive patients (FDDPs). We performed an observational and retrospective study involving 128 patients with major depressive disorder. Patients who had never used any type of antidepressant were designated FDDP; patients who had used only one type of SSRI but were not treated after a recent relapse were designated PMDP. Serum CK and CK-MB levels were measured before and after using SSRIs for a period of time. The duration of current treatment in the FDDP and PMDP groups was 16.200 ± 16.726 weeks and 15.618 ± 16.902 weeks, respectively. After SSRI treatment, levels of serum CK in the PMDP group were significantly higher than in the FDDP group. Univariate ANCOVA results revealed that PMDP was 22.313 times more likely to elevate CK (OR 22.313, 95% CI 9.605–35.022) and 2.615 times more likely to elevate CK-MB (OR 2.615, 95% CI 1.287–3.943) than FDDP. Multivariate ANCOVA revealed an interaction between the group and sex of CK and CK-MB. Further pairwise analysis of the interaction results showed that in female patients, the mean difference (MD) of CK and CK-MB in PMDP was significantly greater than that in FDDP (MD = 33.410, P = 0.000, 95% CI 15.935–50.886; MD = 4.613, P = 0.000, 95% CI 2.846–6.381). Our findings suggest that patients, especially females, who had previously used SSRI antidepressants were more likely to have elevated CK and CK-MB, indicators of myocardial muscle injury. Use of SSRIs should not be assumed to be completely safe and without any cardiovascular risks.

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“…It is responsible for the conversion of lactic acid to pyruvic acid, an important step in the production of cellular energy ( 39 ). Kato et al found that healthy nurses' depressive symptoms shown on CES-D under the stressful conditions were significantly negatively correlations with lactate dehydrogenase activities ( r = −0.29, p = 0.0065) ( 40 ). We observed that patients with both diabetes mellitus and depression had lower concentrations of lactic dehydrogenase compared to those with diabetes alone.…”

Section: Discussionmentioning

confidence: 99%

Potential Biomarkers for Predicting Depression in Diabetes Mellitus

et al. 2021

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Objective: To identify the potential biomarkers for predicting depression in diabetes mellitus using support vector machine to analyze routine biochemical tests and vital signs between two groups: subjects with both diabetes mellitus and depression, and subjects with diabetes mellitus alone.Methods: Electronic medical records upon admission and biochemical tests and vital signs of 135 patients with both diabetes mellitus and depression and 187 patients with diabetes mellitus alone were identified for this retrospective study. After matching on factors of age and sex, the two groups (n = 72 for each group) were classified by the recursive feature elimination-based support vector machine, of which, the training data, validation data, and testing data were split for ranking the parameters, determine the optimal parameters, and assess classification performance. The biomarkers were identified by 10-fold cross validation.Results: The experimental results identified 8 predictive biomarkers with classification accuracy of 78%. The 8 biomarkers are magnesium, cholesterol, AST/ALT, percentage of monocytes, bilirubin indirect, triglyceride, lactic dehydrogenase, and diastolic blood pressure. Receiver operating characteristic curve analysis was also adopted with area under the curve being 0.72.Conclusions: Some biochemical parameters may be potential biomarkers to predict depression among the subjects with diabetes mellitus.

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Depressive symptoms of female nursing staff working in stressful environments and their association with serum creatine kinase and lactate dehydrogenase – a preliminary study

Cited by 9 publications

References 13 publications

A Retrospective and Multicenter Study on COVID-19 in Inner Mongolia: Evaluating the Influence of Sampling Locations on Nucleic Acid Test and the Dynamics of Clinical and Prognostic Indexes

A Retrospective and Multicenter Study on COVID-19 in Inner Mongolia: Evaluating the Influence of Sampling Locations on Nucleic Acid Test and the Dynamics of Clinical and Prognostic Indexes

Repeated use of SSRIs potentially associated with an increase on serum CK and CK-MB in patients with major depressive disorder: a retrospective study

Potential Biomarkers for Predicting Depression in Diabetes Mellitus

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