Background: The etiological agent for pandemic COVID-19 is severe acute respiratory syndrome corona virus 2. Hematological and biochemical parameters are the indicators of inflammation and coagulopathy. Aims and Objectives: The present study aimed to determine how effectively the hematological parameters and biochemical markers can help predict the severity of critically ill COVID-19 patients. Materials and Methods: The current retrospective cohort study was conducted among 200 COVID-19 patients admitted in the Sanjay Gandhi Memorial Hospital, Rewa, Madhya Pradesh, India. In our lab’s computerized system, certain hematological and biochemical parameters of the patients were retrieved and recorded. Receiver operating characteristics (ROC) curve analysis was done to evaluate the diagnostic accuracy of hematological and biochemical parameters. Results: Total leukocyte count (TLC), absolute lymphocyte count (ALC), neutrophil to lymphocyte ratio (NLR), D-dimer, and serum ferritin had a significant relationship with severity among ICU patients (P<0.05). ALC, D-dimer, and serum ferritin can be used to predict the severity of COVID patients with area under the ROC-AUC curve values of 0.717, 0.725, and 0.710, respectively. Platelet to lymphocyte ratio, lymphocyte to monocyte ratio, and C-reactive protein were not useful to predict the severity of COVID illness. Conclusion: Hb concentration, TLC, NLR, D-dimer, and serum ferritin were significantly raised in critically ill COVID patients. ROC curve analysis showed that ALC, serum ferritin, and D-dimer were able to predict the severity of COVID illness effectively. Conclusively, these parameters can be used to track the prognosis of patients.

Background: Fine-needle aspiration cytology (FNAC) of the salivary glands is a well-established technique that aids in pre-operative identification of abnormalities and to distinguish between neoplastic and non-neoplastic salivary gland lesions. Milan system for reporting of salivary gland cytology uses a standardized tiered system for categorization of salivary gland lesions. Aims and Objectives: The present research was aimed to study the prevalence of various salivary gland lesions cytologically and classify them based on the Milan system. Materials and Methods: The current retrospective descriptive study was done in the Department of Pathology, Shyam Shah Medical College, Rewa, M.P. A total of 57 FNAC slides were retrieved, re-examined, and re-classified according to the Milan system. Results: In the present study, a total of 57 cases of salivary gland lesions were included and categorized under the Milan system of salivary gland cytology. 5.3% of the smears in our study were non-diagnostic (Category I). The most common category was IVa comprising benign neoplastic lesions with 36.8%. Non-neoplastic lesions (Category II) were seen in 24.6% cases, whereas 14% of the lesions belonged to category IVb (suspicious for malignancy). Malignant lesions (Category VI) comprised 8.8% of all the cases. Conclusion: The most common and least common category of salivary gland lesion was Category IVa and Category IVb, respectively. The adoption of Milan classification system for reporting salivary gland FNAC is a critical step in categorizing these lesions for risk stratification and enhancing the communication among clinicians and pathologists, the ultimate result being improved patient care and management.