It is important to predict the severity of COVID-19 during the pandemic. Both Neutrophil Lymphocyte Ratio (NLR) andAbsolute Lymphocyte Count (ALC) are two easy, low-cost, and fast inflammatory markers, which positively correlate with theseverity of COVID-19. The purpose of this research was to analyze the value of NLR and ALC as predictors of COVID-19severity. This research was a retrospective study using medical record data of 376 COVID-19 patients duringApril-September 2020 at the Hasanuddin University Hospital and Makassar City Regional Hospital. Patients were classifiedinto non-severe and severe COVID-19. Neutrophil lymphocyte ratio and ALC values were determined based on routineblood test (Sysmex XS-800i) results, statistical analysis using Independent T-test, while NLR and ALC diagnostic values wereanalyzed with Receiver Operating Characteristics (ROC) curve to obtain the cut-off value, p < 0.05 was significant. Thesamples consisted of 372 non-severe and 49 severe COVID-19 patients. Neutrophil lymphocyte ratio value in non-severe(4.02±5.22) was significantly different from severe COVID-19 (9.81±7.06) (p < 0.001), similar to ALC in non-severe(2.00±0.83x103/μL) and severe COVID-19 (1.22±0.78x103/μL) (p < 0.001). Receiver operating characteristics curve showedthat NLR had a sensitivity of 91.8% and specificity of 66.4% with a cut-off ≥ 3.17 with Negative Predict Value (NPV) of 98.2%and Positive Predict Value (PPV) of 29.0%; while ALC had a sensitivity of 81.6% and specificity of 64.8% at cut-off≤ 1.74x103/μL with NPV of 95.9% and PPV of 25.8%. Increased NLR and decreased ALC in severe COVID-19 patientsoccurred due to an increased inflammatory response resulting in a decreased cellular immunity. Receiver operatingcharacteristics curve showed a cut-off for NLR of 3.17 and ALC of 1.74x103/μL, indicating an optimum sensitivity andspecificity. It was concluded that NLR and ALC can be used as predictors of COVID-19 severity with a cut-off ≥ 3.17 and≤ 1.74x103/μL, respectively.

No abstract

The COVID-19 incidence is increasing around the world. Some countries are experiencing worsening conditions, evendeaths. One coagulation marker that noticeably increases in COVID-19 patients is D-dimer. This study aimed to analyzeD-dimer levels of COVID-19 patients. Retrospective study using medical records of 84 COVID-19 patients, conducted fromApril to August 2020 at UNHAS Hospital. Patients were grouped based on the severity of the disease as non-severe andsevere. D-dimer levels were measured using the Alere Triage® D-dimer with the fluorescent immunoassay method. Thestatistical test used was Mann-Whitney, D-dimer prognostic levels were calculated with ROC analysis to get the cut-off.Significant if the p < of 0.05. The sample consisted of 74 non-severe and ten severe COVID-19 patients, mostly in the 30-39age group. D-dimer levels in non-severe (0.31±0.38 μg/L) significantly differ from severe group (3.09±2.56 μg/L) (p<0.001).The Receiver Operating Characteristics (ROC) curve showed D-dimer sensitivity and specificity of 90.0% and 89.2%,respectively at the ≥ 0.80 μg/L cut-off, Negative Predictive Value (NPV) of 98.5%, and Positive Predictive Value (PPV) of52.9%. D-dimer levels increased in severe COVID-19 patients due to an increased inflammatory response resulting inexcessive thrombin. The ROC D-dimer curve indicated a cut-off rate of 0.80 μg/L, providing optimal sensitivity andspecificity. D-dimer has a significant difference in non-severe and severe COVID-19 patients and shows good value todetermine the severity of COVID-19 disease with a cut-off value ≥ 0.80 μg /L.

BACKGROUND<br />High-sensitivity C-reactive protein (hsCRP) has been widely accepted as a predictor of future cardiovascular risk that reflects a microinflammatory state. Obesity linked to microinflammation increases the prevalence of metabolic disorders and cardiovascular diseases. This study aimed to determine the association between several obesity indices namely body mass index (BMI), waist circumference (WC), body fat percentage (fat), and visceral fat (VF) with hsCRP in non-diabetic adults. <br /><br />METHODS<br />This was a cross-sectional study performed on 80 non-diabetic adults with ages ranging from 20-40 years. The obesity indices BMI, WC, body fat percentage, and VF were measured. We then measured the hsCRP levels using an immunoturbidimetric method. Simple and multiple linear regression tests were used to analyze the association between obesity indices and hsCRP levels. <br /><br />RESULTS<br />Mean of log BMI, log WC, and log VF was 1.41 ± 0.08 kg/m2, 1.93 ± 0.06 cm, and 0.95 ± 0.27 units, respectively. Simple linear regression tests showed that log BMI (â=3.506; p&lt;0.001), log WC (â=3.672; p&lt;0.001), log VF (â=0.833; p&lt;0.001), and log systolic blood pressure (â=3.739; p=0.024) had a significant positive correlation with log hsCRP levels. Further multiple linear regression test showed that log BMI (â=3.772; Beta=0.674; p&lt;0.001) had the greater effect on log hsCRP levels compared to other indices. <br /><br />CONCLUSIONS    <br />BMI had a greater influence on hsCRP levels compared to other obesity indices in non-diabetic adults. Body mass index can be used as a better index in predicting hsCRP levels compared to other indices.

The Neutrophil-Lymphocyte Ratio (NLR) and procalcitonin are used to indicate systemic inflammation in variousmedical disorders. Both parameters were determined in this study to predict the severity of acute pancreatitis. This studywas a cross-sectional study using a retrospective approach to patients diagnosed with acute pancreatitis by using medicalrecord data from patients at Dr. Wahidin Sudirohusoso Hospital, Makassar, from January 2014 to May 2019. This studycomprised 35 patients hospitalized with acute pancreatitis, with a similar proportion of males and females. This studydiscovered that the mean age in this study was 44.17±12.9 years. The most prevalent cause was Gallstones (77.1%), themost severe degree was mild (54.2%), and the highest outcome was survival (77.1%). The NLR (9.93±11.19, p=0.011)increased in proportion to severity. However, additional analysis based on classification of disease severity revealed thatonly mild-severe NLR was significant (p=0.005). Procalcitonin (8.13±11.25, p=0.001) increased along with the increaseddisease severity, and the subsequent analysis showed that the distribution of severity was similar. The NLR can predict theseverity of acute pancreatitis but is less effective than procalcitonin. This study required a more proportional subjectpopulation and consideration of other factors.