| Literature DB >> 30395800 |
Dora Edith Corzo-León1, Diana Perales-Martínez2, Alexandra Martin-Onraet3, Norma Rivera-Martínez4, Adrian Camacho-Ortiz5, Hiram Villanueva-Lozano5.
Abstract
BACKGROUND: Invasive fungal infections (IFIs) affect >1.5 million people per year. Nevertheless, IFIs are usually neglected and underdiagnosed. IFIs should be considered as a public-health problem and major actions should be taken to tackle them and their associated costs. Aim To report the incidence of IFIs in four Mexican hospitals, to describe the economic cost associated with IFIs therapy and the impact of adverse events such as acute kidney injury (AKI), liver damage (LD), and ICU stay.Entities:
Keywords: Acute kidney injury; Antifungal therapy; Cost; Fungal infections; Incidence rate; Mexico
Mesh:
Substances:
Year: 2018 PMID: 30395800 PMCID: PMC9428020 DOI: 10.1016/j.bjid.2018.10.277
Source DB: PubMed Journal: Braz J Infect Dis ISSN: 1413-8670 Impact factor: 3.257
General characteristics of the studied population in four Mexican hospitals.
| Characteristic | |
|---|---|
| 37 (22–54) | |
| 105 (44) | |
| | 80 (34) |
| | 28/80 (35) |
| | 23/80 (29) |
| Other | 29/80 (36) |
| | 38 (16) |
| | 25 (10) |
| | 20 (8) |
| | 13 (5.5) |
| | 13 (5.5) |
| | 13 (5.5) |
| | 36 (15) |
| | 101 (42.5) |
| | 98 (41) |
| | 39 (16.5) |
| | 85 (36) |
| | 68 (29) |
| | 38 (16) |
| | 19 (8) |
| | 13 (5) |
| | 12 (5) |
| 23 (29) | |
| 15 (19) | |
| 10 (13) | |
| 10 (13) | |
| 8 (11) | |
| 7 (9) | |
| 10 (5–18) | |
| 39 (16) | |
| 58 (25) | |
| 20 (12–31) | |
| 83 (35) | |
| 11 (5–19) | |
| 54 (23) | |
| 232 (8–1044) | |
| 410 (124–1099) | |
IFI, invasive fungal infection; IQR, interquartile range; NF, neutropenic fever.
Currency: $20 Mexican peso by $1 US dollar (USD).
AMBD, amphotericin B deoxycholate.
Estimated cost per treated person, for one treatment.
Estimated proportion using 235 treated cases.
Estimated proportion using 229 cases with information available about this outcome.
Fig. 1(A) Proven/probable infections identified during 2016 in four Mexican hospitals. Ninety-eight proven/probable IFIs were identified. Unspecified IFIs refers to diagnosis by histopathology without etiological identification. (B) Distribution of IFIs by clinical context. The frequency of the proven/probable IFIs variated depending on the comorbidity. Other IFIs includes: cryptoccocosis, mucormycosis, cladosporidosis, fusariosis, pneumocystosis, and unspecified IFIs.
Incidence rates per 1000 discharges and per 1000 patients-days.
| Type of IFI | Per 1000 discharges (95%CI) | Per 1000 patients-days (95% CI) |
|---|---|---|
| Invasive candidiasis | 1.93 (1.01 to 2.84) | 0.36 (0.06 to 0.67) |
| Coccidioidomycosis/histoplasmosis | 1.53 (−3.36 to 6.4) | 0.24 (−0.47 to 0.94) |
| Aspergillosis and other hyalophyphomycosis | 1.25 (−0.90 to 3.45) | 0.23 (−0.14 to 0.61) |
| Mucormycosis | 0.33 (0.08 to 0.58) | 0.06 (−0.12 to 0.25) |
| All IFIs | 4.8 (0.72 to 8.92) | 0.7 (0.03 to 1.16) |
Fig. 2(A) Time of antifungal therapy in proven/probable fungal infections in the total population. *p value = 0.046. Invasive candidiasis n = 32, aspergillosis n = 21, endemic (histoplasmosis/coccidioidomycosis) n = 21, other IFI n = 21. (B) Time of antifungal therapy in proven/probable fungal infections among survivors. p value = 0.002. *p = 0.006 invasive candidiasis vs aspergillosis, **p = 0.002 invasive candidiasis vs endemic, ***p = 0.006. Candidiasis n = 22, aspergillosis n = 12, endemic n = 11, other IFI n = 14. Data presented as median and IQR. Data analyzed with Kruskal–Wallis test. Post hoc analysis was done with Dunn's test.
Characteristics in AKI and non-AKI in survivors.
| Characteristic | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
| Non-AKI | AKI | OR | 95% CI | |||
| 37 (21–54) | 28 (24–56) | 0.95 | 1.00 | 0.97–1.03 | 0.94 | |
| 76 (48) | 5 (31) | 0.29 | 0.50 | 0.12–2.03 | 0.33 | |
| Hematological condition | 48 (30) | 5 (31) | 0.8 | |||
| Solid neoplasia | 33 (21) | 1 (6) | ||||
| Diabetes mellitus | 15 (9) | 2 (12) | ||||
| HIV infection | 8 (5) | 1 (6) | ||||
| Renal transplant | 10 (6) | 1 (6) | ||||
| Other | 45 (29) | 6 (37) | ||||
| Fluconazole | 68 (43) | 0 | <0.0001 | 24.94 | 4.2–137 | <0.0001 |
| Caspofungin | 29 (18) | 5 (31) | ||||
| AMBD | 22 (14) | 6 (31) | ||||
| Anidulafungin | 20 (13) | 0 | ||||
| Lipid formulation of AMB | 4 (2.6) | 4 (25) | ||||
| 48 (30) | 10 (62) | 0.01 | ||||
| 10 (6–17) | 18 (14–50) | 0.008 | 0.99 | 0.99–1.00 | 0.76 | |
| 19 (12–31) | 27 (18–40) | 0.05 | 0.99 | 0.97–1.02 | 0.365 | |
| 43 (27) | 10 (63) | 0.008 | 17.98 | 3.2–100 | 0.001 | |
| 14 (7–20) | 5 (2–11) | 0.02 | ||||
| 246 (9–874) | 1048 (729–6543) | <0.0001 | ||||
| 325 (109–1003) | 680 (335–1063) | 0.04 | ||||
Estimated cost per treated person.
Amphotericin vs non-amphotericin (any formulation) use.
Multivariate analysis model, X2 = 31, DF = 6, p < 0.0001, sensitivity 93%.
Characteristics of non-liver damage (LD) vs LD survivors.
| Characteristic | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|
| No-LD | LD | OR | 95% CI | |||
| 38 (21–53) | 31(26–58) | 0.68 | 1.00 | 0.97–1.03 | 0.53 | |
| 66 (46) | 14 (45) | 1 | 1.27 | 0.54–3.0 | 0.57 | |
| Hematological condition | 39 (27) | 14 (45) | 0.46 | |||
| Solid neoplasia | 28 (20) | 6 (19) | ||||
| Diabetes mellitus | 13 (9) | 2 (6.5) | ||||
| HIV infection | 8 (6) | 1 (3) | ||||
| Renal transplant | 10 (7) | 1 (3) | ||||
| Other | 44 (32) | 6 (19) | ||||
| Fluconazole | 65 (46) | 3 (10) | 0.008 | 2.12 | 0.74–6.03 | 0.16 |
| Caspofungin | 26 (18) | 7 (23) | ||||
| AMBD | 19 (13) | 8 (26) | ||||
| Anidulafungin | 14 (10) | 6 (19) | ||||
| Lipid formulation of AMB | 6 (4) | 2 (7) | ||||
| Voriconazol | 7 (5) | 5 (16) | ||||
| 10 (5–17) | 15(10–46) | 0.001 | 1.00 | 0.99–1.01 | 0.12 | |
| 18 (12–30) | 28 (20–38) | 0.003 | 1.00 | 0.99–1.02 | 0.18 | |
| 38 (27) | 15 (48) | 0.03 | 2.92 | 1.18–7.17 | 0.02 | |
| 13 (5–20) | 11 (7–19) | 0.98 | ||||
| 194 (8–818) | 835 (403–1407) | 0.001 | ||||
| 337 (111–957) | 327 (123–1499) | 0.25 | ||||
Estimated cost per treated person
Amphotericin vs non-amphotericin (any formulation) use.
Multivariate analysis model, X2 = 14, DF = 6, p = 0.03, sensitivity 82%.
Increasing cost associated with AKI development during antifungal therapy.
| All population | Cost of antifungal treatment | |||
|---|---|---|---|---|
| Condition | Proven/probable IFI | NF possible IFI | Non-NF possible IFI | |
| Median | $907 | $75 | $28 | <0.0001 |
| IQR | (178–1843) | (7–192) | (6–642) | |
| Median | $343 | $512 | $524 | NS |
| IQR | (7–1875) | (111–858) | (112–2384) | |
Costs in US dollars, per treated person.
Kruskall–Wallis test.
Antifungal and hospital stay costs of IFIs in Mexico.
| Costs per day | Value | ||
|---|---|---|---|
| Daily cost of antifungal therapy | 93 (61–124) | ||
| Cost per day in hospital | 25 (19–31) | ||
| Daily ICU cost | 90 (67–112) | ||
| Treatment duration, days (mean, 95% CI) | 25 (17–33) | ||
| Estimated number of people receiving antifungal therapy in one year | 30,091 (4396–55,785) | 12,109 (1769–22,450) | 31,191 (4556–55,785) |
| Treatment duration, days (mean, 95% CI) | 48 (30–66) | 11 (8–14) | 9 (7–10) |
| Rate of AKI | 27% | 10% | 9% |
| Rate of LD | 34% | 26% | 15% |
| Increasing antifungal cost due to AKI | – | 12 times | 31 times |
| Increasing hospital stay cost due to AKI | 2 times | 2 times | 1.8 times |
| Proportion of increasing antifungal cost due to LD | 35 times | 200 times | |
| Proportion of increasing hospital stay cost due to LD | – | 2 times | 2.7 times |
| Rate of ICU stay | 29% | 15% | 47% |
| Increasing hospital stay cost due to ICU stay | 3 times | 2.5 times | 7.5 times |
Assumed cost and associated increasing were taken from the results obtained in the clinical and cost analysis presented in previous sections in this manuscript.
Taking into account incidence rate of IFIs (4.8 per 1000 discharges, 95% CI 0.7–8.9) and number of discharges during 2015 in Mexico. Number of discharges during 2015 = 6,269,155 (source: stats.oecd.org). Proven/probable IFIs was considered to be 41% of people receiving antifungal, NF-possible IFI 16% and non-NF possible IFI 42% of people receiving antifungal considering the results of this paper in Table 1.
No statistical significance in increasing cost was seen for proven/probable IFIs due to AKI and LD.