| Literature DB >> 34394928 |
Kundan Mishra1, Suman Kumar2, Sandeep Ninawe3, Rajat Bahl1, Ashok Meshram4, Kanwaljeet Singh5, Aditya Jandial6, Kamal Kant Sahu7, Rajeev Sandal8, Sanjeev Khera9, Uday Yanamandra1, Harshit Khurana10, Rajiv Kumar11, Rajan Kapoor12, Sanjeevan Sharma11, Jasjit Singh12, Satyaranjan Das11, Ankur Ahuja5, Venkateshan Somasundaram5, Tathagat Chaterjee5.
Abstract
INTRODUCTION: Acute myeloid leukemia (AML) is the commonest leukemia in adults. Mortality in thew first 30-days ranges from 6% to 43%, while infections account for 30-66% of early deaths. We aim to present our experience of infections in newly-diagnosed AML.Entities:
Keywords: acute myeloid leukemia; febrile neutropenia; resource constraint settings
Year: 2021 PMID: 34394928 PMCID: PMC8358573 DOI: 10.1177/20499361211036592
Source DB: PubMed Journal: Ther Adv Infect Dis ISSN: 2049-9361
Baseline demographic and hematological parameters of the patients.
| Characteristics | |
|---|---|
| Age (years) | |
| Median (range) | 47 (12–71) |
| <40 years | 22 (40) |
| 40–60 years | 24 (43.63) |
| >60 years | 9 (16.36) |
| Male (number, %) | 28 (50.9) |
| Presentation | |
| Fever | 33 (60) |
| Fatigue | 13 (23.63) |
| Bleeding manifestations | 5 (9) |
| Body pains | 3 (5.45) |
| Others[ | 6 (10.9) |
| Duration of symptoms (weeks) | |
| Mean (SD) | 2.5 (±0.93) |
| Comorbidity | |
| None | 35 (63.6) |
| One | 12 (21.81) |
| >One | 8 (14.54) |
| Hypertension | 16 (29) |
| Diabetes mellitus | 5 (9) |
| COPD | 2 (3.63) |
| Previous malignancy | 2 (3.63) |
| Others[ | 3 (5.45) |
| Performance Status | |
| Mean | 1.582 (0–4) |
| ECOG 0 | 1 (1.8) |
| ECOG 1 | 34 (61.8) |
| ECOG 2 | 9 (16.4) |
| ECOG 3 | 9 (16.4) |
| ECOG 4 | 2 (2.3) |
| Infection at presentation | 17 (30.9) |
| Pneumonia | 11 (20) |
| Perianal infection | 4 (7.27) |
| Skin and soft tissue infection | 2 (3.63) |
| Pulmonary tuberculosis | 1 (1.81) |
| PICC-line | 47 (85.45) |
| Hemoglobin (g/dl), median (IQR) | 8.1 (7–9.55) |
| WBC count (/μl), median (IQR) | 29100 (5970–46550) |
| Blasts % on PBS, median (IQR) | 50 (4–76.5) |
| Platelet count (/μl), median (IQR) | 58000 (33500–111000) |
| Risk stratification | |
| Favorable-risk | 6 (10.9) |
| Intermediate-risk | 26 (47.27) |
| High-risk | 16 (29.09) |
| Not known | 7 (12.72) |
| Prophylaxis | |
| Voriconazole | 12 (21.81) |
| Posaconazole | 43 (78.18) |
| Acyclovir | 55 (100) |
| Septran | 55 (100) |
| Induction Type | |
| 7+3 | 41 (74.54) |
| HMA[ | 14 (25.45) |
Others included, cough,[2] asymptomatic[1] acute coronary syndrome (CAD-STEMI),[1] Cervical Lymphadenopathy,[1] and pain abdomen.[1]
Others included, pulmonary tuberculosis,[1] primary hypothyroidism,[1] and chronic hepatitis B (HBV) infection.
Hypomethylating agents (5-azacytidine and decitabine).
COPD, chronic obstructive pulmonary disease; ECOG, Eastern Cooperative Oncology Group; HMA, hypomethylating agent; IQR, interquartile range; PBS, phosphate-buffered saline; PICC, peripherally inserted central catheter; SD, standard deviation; WBC, white blood cells.
Figure 1.The figure depicts relationship between baseline WBC count (in/cu mm, log scale) and days to develop febrile neutropenia. The solid line represents linear regression fit and the dashed line with shade region represents the LOESS fit with 95% confidence interval.
LOESS, Local regression; WBC, white blood cell.
Febrile neutropenia and subsequent localization.
| Number (%) | |
|---|---|
| Total no of patients | 55 (100) |
| Days to FN (Mean) | 11.24 days |
| Culture positive | 26 (47.3) |
| No localization (Clinical/Radiological) | 32 (58.18) |
| Localization present (Clinical/Radiological) | 23 (41.81) |
| Pneumonia | 19 |
| Neutropenic colitis | 2 |
| Perianal | 1 |
| Skin and soft tissue | 1 |
FN, febrile neutropenia.
Various samples collected and the result.
| Type of sample | Number of patients | Positive patients | Number of samples | Positive samples | GPCc | GNBs |
|---|---|---|---|---|---|---|
| Blood | 55 | 26 (47.3) | 242 | 34 (14.04) | 10 (29.41) | 24 (70.58) |
| Urine | 26 | 2 | 45 | 3 (6.6) | 0 | 3 (100) |
| Wound swab | 6 | 2 | 9 | 3 (33.33) | 3 (100) | 0 |
| Stool | 5 | 0 | 5 | 0 | 0 | 0 |
GPCc, gram-positive cocci in clusters; GNBs, gram-positive bacteria.
Organisms on blood cultures and their resistance pattern.
| Positive samples | Carbapenem-resistant organism, | Colistin-resistant organism, | |
|---|---|---|---|
|
| 8 | 0 | 0 |
|
| 7 | 6 (85.71) | 0 |
|
| 5 | 1 (20) | 0 |
|
| 2 | 2 (100) | 0 |
|
| 2 | 1 (50) | 1 (50) |
|
| 5 | 0 | 0 |
|
| 5 | 0 | 0 |
Figure 2.The figure depicts the relationship between days to febrile neutropenia with estimated 30-day survival probability, with shaded region representing 95% CI.
CI, confidence interval.
Figure 3.The figure depicts estimated survival curves from cox proportional hazard regression model of induction mortality with follow up time (in days) in cohort of patients who develop febrile neutropenia after 10 days (solid line) and those who develop febrile neutropenia after 25 days (dashed line). The bars depict 95% CIs at each time points. The numbers along the x-axis represent the number of patients at risk at that time point (depicted in x-axis).
CI, confidence intervals.
Figure 4.The figure depicts Kaplan–Meier Curve of induction mortality with follow up time (in days). The bars depict 95% CIs at each time points. The numbers along the x-axis represent the number of patients at risk at that time point (depicted in x-axis).
CI, confidence intervals.