A Novel Scoring System Approach to Assess Patients with Lyme Disease (Nutech Functional Score)

Microbes and Mental Illness: Past, Present, and Future

A review of the association between microbes and mental illness is performed, including the history, relevant definitions, infectious agents associated with mental illnesses, complex interactive infections, total load theory, pathophysiology, psychoimmunology, psychoneuroimmunology, clinical presentations, early-life infections, clinical assessment, and treatment. Perspectives on the etiology of mental illness have evolved from demonic possession toward multisystem biologically based models that include gene expression, environmental triggers, immune mediators, and infectious diseases. Microbes are associated with a number of mental disorders, including autism, schizophrenia, bipolar disorder, depressive disorders, and anxiety disorders, as well as suicidality and aggressive or violent behaviors. Specific microbes that have been associated or potentially associated with at least one of these conditions include Aspergillus, Babesia, Bartonella, Borna disease virus, Borrelia burgdorferi (Lyme disease), Candida, Chlamydia, coronaviruses (e.g., SARS-CoV-2), Cryptococcus neoformans, cytomegalovirus, enteroviruses, Epstein-Barr virus, hepatitis C, herpes simplex virus, human endogenous retroviruses, human immunodeficiency virus, human herpesvirus-6 (HHV-6), human T-cell lymphotropic virus type 1, influenza viruses, measles virus, Mycoplasma, Plasmodium, rubella virus, Group A Streptococcus (PANDAS), Taenia solium, Toxoplasma gondii, Treponema pallidum (syphilis), Trypanosoma, and West Nile virus. Recognition of the microbe and mental illness association with the development of greater interdisciplinary research, education, and treatment options may prevent and reduce mental illness morbidity, disability, and mortality.

Predictive value of complete blood count for early diagnosis of mixed infection of the non-erythema migrans form of Lyme borreliosis and tick-borne encephalitis

Objective: is to develop a model for early diagnosis of mixed infection of the non-erythema migrans form of Lyme borreliosis and tick-borne encephalitis using the assessment of the complete blood count and the blood leukocyte indices of patients in the first week of the disease.

Materials and methods. The retrospective clinical study involved Group 1 of 27 patients with the mixed infection of the non-erythema migrans form of Lyme borreliosis and the febrile form of tick-borne encephalitis and Group 2 of 29 patients with the monoinfection of the non-erythema migrans form of Lyme borreliosis, who were hospitalized no later than in the 7th day of the disease. The average age of patients in Groups 1 and 2 was 50.6±3.4 and 49.9±2.3. We analyzed 14 parameters of the complete blood count as well as calculated the leukocyte intoxication index and the body resistance index. Statistical significance assessment was carried out using the chi-square test and ROC analysis. Logistic regression model was developed using STATISTICA 12.0 modules.

Results. The levels of the band and polymorphonuclear neutrophils (<0,001 и p=0,002) and the leukocyte intoxication index (p<0,001) were significantly higher and the levels of the body resistance index (p<0.001), lymphocytes (p<0.001) and platelets (p=0.004) were lower in Group 1 than in Group 2. Informative predictors of mixed infection included the body resistance index (AUC=0.77), leukocyte intoxication index (AUC=0.75), the band and polymorphonuclear neutrophils (AUC=0.74), lymphocytes (AUC=0.77), and platelets (AUC=0.70). Logistic regression model has a “very good” predictive value (AUC=0.85) and include two parameters: body resistance index and platelets (×109/L).

Conclusion. The developed model has a “very good” predictive value for early diagnosis of the mixed infection of the non-erythema migrans form of Lyme borreliosis and tickborne encephalitis before laboratory diagnosis confirmation.