SOLITAIRE-IV: Efficacy and Safety Study of Intravenous to Oral Solithromycin (CEM-101) Compared to Intravenous to Oral Moxifloxacin in Treatment of Patients With Community-Acquired Bacterial Pneumonia
Study Details
Study Description
Brief Summary
This study will evaluate the safety and efficacy of an experimental antibiotic, solithromycin, in the treatment of adult patients with community-acquired pneumonia.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
Phase 3 |
Detailed Description
Community-acquired bacterial pneumonia (CABP) is an acute infection of the pulmonary parenchyma with symptoms such as fever or hypothermia, chills, rigors, chest pain, and/or dyspnea. The widespread emergence of antibiotic resistant pathogens, including the macrolide-resistant Streptococcus pneumoniae, has resulted in a need for new and effective antibiotics that have activity against CABP pathogens. Solithromycin is a fourth generation macrolide antibiotic with excellent activity against resistant S. pneumoniae and other key typical and atypical bacterial respiratory pathogens. A completed Phase 2 study showed comparable efficacy to levofloxacin in adults with CABP.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Active Comparator: Moxifloxacin Intravenous with the potential step-down to oral moxifloxacin |
Drug: Moxifloxacin
Other Names:
|
Experimental: Solithromycin Intravenous with potential step-down to oral solithromycin |
Drug: Solithromycin
Other Names:
|
Outcome Measures
Primary Outcome Measures
- Early clinical response rate in the Intent to Treat (ITT) population. [72 [±12] hours after the first dose of study drug]
To determine noninferiority (NI) in early clinical response rate, in at least 2 of the following 4 cardinal symptoms: cough, shortness of breath, chest pain, and sputum production
Secondary Outcome Measures
- Early clinical response rate in the microITT population [72 [±12] hours after the first dose of study drug]
To determine NI in early clinical response rate of intravenous to oral solithromycin compared to intravenous to oral moxifloxacin in the mITT population
- Clinical success rates in the ITT and Clinically Evaluable (CE) populations [5 to 10 days after the last dose of study drug]
To determine the overall clinical success rates of intravenous to oral solithromycin compared to moxifloxacin
Eligibility Criteria
Criteria
Inclusion Criteria:
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Male and female patients ≥ 18 years of age
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An acute onset of at least 3 of the following signs and symptoms (new or worsening):
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Cough
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Production of purulent sputum
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Shortness of breath (dyspnea)
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Chest pain due to pneumonia
- At least 1 of the following:
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Fever
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Hypothermia
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Presence of pulmonary rales and/or evidence of pulmonary consolidation
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PORT Risk Class II, III, or IV
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Presence of lobar, multilobar, or patchy parenchymal infiltrate(s) consistent with acute bacterial pneumonia on a pulmonary imaging study
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Not received any systemic antibiotics during the prior 7 days
Exclusion Criteria:
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Ventilator-associated pneumonia
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Known anatomical or pathological bronchial obstruction or a history of bronchiectasis or documented severe chronic obstructive pulmonary disease
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Hospitalization within 90 days or residence in a long-term care facility within 30 days prior to the onset of symptoms
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Fungal pneumonia
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Pneumocystis jiroveci pneumonia
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Aspiration pneumonia
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Other non-infectious causes of pulmonary infiltrates
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Primary or metastatic lung cancer
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Cystic fibrosis
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Active or suspected tuberculosis
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HIV or myasthenia gravis
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Mobile | Alabama | United States | 36607 | |
2 | Mobile | Alabama | United States | 36609 | |
3 | Little Rock | Arkansas | United States | 72205 | |
4 | Chino | California | United States | 91710 | |
5 | Glendale | California | United States | 91206 | |
6 | Laguna Hills | California | United States | 92653 | |
7 | Los Angeles | California | United States | 90015 | |
8 | Pasadena | California | United States | 91105 | |
9 | Sacramento | California | United States | 95817 | |
10 | Sylmar | California | United States | 91342 | |
11 | Torrance | California | United States | 90502 | |
12 | Newark | Delaware | United States | 19713 | |
13 | Bay Pines | Florida | United States | 33744 | |
14 | DeLand | Florida | United States | 32720 | |
15 | Doral | Florida | United States | 33166 | |
16 | Kissimmee | Florida | United States | 34741 | |
17 | Miami | Florida | United States | 33144 | |
18 | Miami | Florida | United States | 33156 | |
19 | West Palm Beach | Florida | United States | 33401 | |
20 | Augusta | Georgia | United States | 30912 | |
21 | Blue Ridge | Georgia | United States | 30513 | |
22 | Decatur | Georgia | United States | 30033 | |
23 | Chicago | Illinois | United States | 60611 | |
24 | Springfield | Illinois | United States | 62702 | |
25 | Council Bluffs | Iowa | United States | 51503 | |
26 | Hazard | Kentucky | United States | 41701 | |
27 | Louisville | Kentucky | United States | 40202 | |
28 | Louisville | Kentucky | United States | 40206 | |
29 | Owensboro | Kentucky | United States | 42303 | |
30 | Lafayette | Louisiana | United States | 70503 | |
31 | Shreveport | Louisiana | United States | 71103 | |
32 | Detroit | Michigan | United States | 48202 | |
33 | Farmington Hills | Michigan | United States | 48334 | |
34 | Royal Oak | Michigan | United States | 48073 | |
35 | Duluth | Minnesota | United States | 55805 | |
36 | St. Louis | Missouri | United States | 63110 | |
37 | Butte | Montana | United States | 59701 | |
38 | Newark | New Jersey | United States | 07102 | |
39 | Somers Point | New Jersey | United States | 08244 | |
40 | Buffalo | New York | United States | 14215 | |
41 | Jamaica | New York | United States | 11418 | |
42 | Johnson City | New York | United States | 13790 | |
43 | New York | New York | United States | 10003 | |
44 | Winston-Salem | North Carolina | United States | 27103 | |
45 | Akron | Ohio | United States | 44304 | |
46 | Cincinnati | Ohio | United States | 45267 | |
47 | Cleveland | Ohio | United States | 44106 | |
48 | Columbus | Ohio | United States | 43210 | |
49 | Dayton | Ohio | United States | 45402 | |
50 | Lima | Ohio | United States | 45801 | |
51 | Bethleham | Pennsylvania | United States | 18015 | |
52 | Philadelphia | Pennsylvania | United States | 19141 | |
53 | Wyomissing | Pennsylvania | United States | 19610 | |
54 | Rapid City | South Dakota | United States | 57702 | |
55 | Nashville | Tennessee | United States | 37232 | |
56 | Houston | Texas | United States | 77011 | |
57 | Houston | Texas | United States | 77024 | |
58 | Houston | Texas | United States | 77030 | |
59 | Houston | Texas | United States | 77093 | |
60 | Splendora | Texas | United States | 77372 | |
61 | Charlottesville | Virginia | United States | 22905-2877 | |
62 | Spokane | Washington | United States | 99202 | |
63 | Caba | Buenos Aires | Argentina | C1093AAS | |
64 | Florencia Varela | Buenos Aires | Argentina | B1887FWB | |
65 | Florencio Varela | Buenos Aires | Argentina | 1888 | |
66 | La Plata | Buenos Aires | Argentina | 1900 | |
67 | La Plata | Buenos Aires | Argentina | B1900AVG | |
68 | Loma Hermosa | Buenos Aires | Argentina | B1657BHD | |
69 | Mar del Plata | Buenos Aires | Argentina | B7600GNY | |
70 | Vicente Lopez | Buenos Aires | Argentina | B1602DOH | |
71 | Rosario | Santa Fe | Argentina | S2000CVB | |
72 | San Miguel de Tucuman | Tucuman | Argentina | T4000IFL | |
73 | Cordoba | Argentina | X5000JRD | ||
74 | Salta | Argentina | 4400 | ||
75 | Kozloduy | Bulgaria | 3320 | ||
76 | Montana | Bulgaria | 3400 | ||
77 | Pernik | Bulgaria | 2300 | ||
78 | Russe | Bulgaria | 7002 | ||
79 | Samokov | Bulgaria | 2000 | ||
80 | Sofia | Bulgaria | 1431 | ||
81 | Sofia | Bulgaria | 1606 | ||
82 | Vidin | Bulgaria | 3700 | ||
83 | Vratsa | Bulgaria | 3000 | ||
84 | Edmonton | Alberta | Canada | T6G2B7 | |
85 | Surrey | British Columbia | Canada | V3V 1Z2 | |
86 | Vancouver | British Columbia | Canada | V6Z 1Y6 | |
87 | Winnipeg | Manitoba | Canada | R3E0J9 | |
88 | Chicoutimi | Quebec | Canada | G7H5H6 | |
89 | Greenfield Park | Quebec | Canada | J4V2H1 | |
90 | Montreal | Quebec | Canada | H2W 1T8 | |
91 | Sherbrooke | Quebec | Canada | JIH-5N4 | |
92 | Providencia | RM | Chile | 7500710 | |
93 | Vina del Mar | V Region | Chile | 2540364 | |
94 | Talca | VII Region | Chile | 3465584 | |
95 | Temuco | Chile | 4800997 | ||
96 | Medellin | Antioquia | Colombia | ||
97 | Cali | Valle del Cauca | Colombia | ||
98 | Batumi | Georgia | 6004 | ||
99 | Rustavi | Georgia | 3700 | ||
100 | Tbilisi | Georgia | 0101 | ||
101 | Tbilisi | Georgia | 0112 | ||
102 | Tbilisi | Georgia | 0144 | ||
103 | Tbilisi | Georgia | 0159 | ||
104 | Tbilisi | Georgia | 0160 | ||
105 | Tbilisi | Georgia | 0186 | ||
106 | Bochum | Germany | 44789 | ||
107 | Bonn | Germany | 53105 | ||
108 | Dresden | Germany | 01307 | ||
109 | Greifswald | Germany | 17475 | ||
110 | Hannover | Germany | 30625 | ||
111 | Lubeck | Germany | 23538 | ||
112 | Rostock | Germany | 18055 | ||
113 | Guatemala | Guatemala | 01010 | ||
114 | Guatemala | Guatemala | 01016 | ||
115 | Budapest | Hungary | H-1097 | ||
116 | Budapest | Hungary | H-1121 | ||
117 | Budapest | Hungary | H-1125 | ||
118 | Budapest | Hungary | H-1145 | ||
119 | Budapest | Hungary | H-115 | ||
120 | Debrecen | Hungary | H-1051 | ||
121 | Gyor | Hungary | H-9024 | ||
122 | Kaposvar | Hungary | H-7400 | ||
123 | Nagykanizsa | Hungary | H-8800 | ||
124 | Nyiregyhaza | Hungary | H-4412 | ||
125 | Pecs | Hungary | H-7623 | ||
126 | Szekesfehervar | Hungary | H-8000 | ||
127 | Torokbalint | Hungary | H-2045 | ||
128 | Anyang-si | Gyenggi-do | Korea, Republic of | 431-796 | |
129 | Seoul | Gyenggi | Korea, Republic of | 135-710 | |
130 | Seoul | Gyenggi | Korea, Republic of | 138-736 | |
131 | Seoul | Gyenggi | Korea, Republic of | 156-707 | |
132 | Seoul | Gyenggi | Korea, Republic of | 158-710 | |
133 | Ansan-si | Gyeonggi-do | Korea, Republic of | 425-707 | |
134 | Goyang-si | Gyeonggi-do | Korea, Republic of | 410-719 | |
135 | Goyang-si | Gyeonggi-do | Korea, Republic of | 411-706 | |
136 | Seoul | Gyeonggi | Korea, Republic of | 136-705 | |
137 | Seoul | Gyeonggi | Korea, Republic of | 143-729 | |
138 | Seoul | Gyeonggi | Korea, Republic of | 150-950 | |
139 | Jeonju-si | Jeollabuk-do | Korea, Republic of | 561-712 | |
140 | Balvi | Latvia | LV-4501 | ||
141 | Daugavpils | Latvia | LV-5417 | ||
142 | Liepaja | Latvia | LV-3414 | ||
143 | Valmiera | Latvia | LV-4201 | ||
144 | Alor Setar | Kedah | Malaysia | 05460 | |
145 | Kota Bharu | Kelantan | Malaysia | 15586 | |
146 | Cheras | Kuala Lumpur | Malaysia | 56000 | |
147 | Jalan Pahang | Kuala Lumpur | Malaysia | 50586 | |
148 | Georgetown | Penang | Malaysia | 10400 | |
149 | George Town | Pulau Pinang | Malaysia | 10990 | |
150 | Miri | Sarawak | Malaysia | 98000 | |
151 | Ampang | Selangor | Malaysia | 68000 | |
152 | Batu Caves | Selangor | Malaysia | 68100 | |
153 | Sungai Buloh | Selangor | Malaysia | 47000 | |
154 | Melaka | Malaysia | 75400 | ||
155 | Maastricht | Limburg | Netherlands | 6229 HX | |
156 | Breda | Noord-Brabant | Netherlands | 4818 CK | |
157 | Utrecht | Netherlands | 3584 CX | ||
158 | Bellavista | Callao | Peru | Callao | |
159 | Miraflores | Lima 18 | Peru | Lima 18 | |
160 | Cercado | Lima 1 | Peru | Lima 1 | |
161 | San Juan de Miraflores | Lima 29 | Peru | Lima 29 | |
162 | San Martin de Porres | Lima 31 | Peru | Lima 31 | |
163 | San Miguel | Lima 32 | Peru | Lima 32 | |
164 | Santiago de Surco | Lima 33 | Peru | Lima 33 | |
165 | San Borja | Lima 41 | Peru | Lima 41 | |
166 | Jesus Maria | Lima11 | Peru | Lima11 | |
167 | Cercado de Lima | Lima1 | Peru | Lima1 | |
168 | Cercado | Lima | Peru | Lima01 | |
169 | Iquitos | Loreto | Peru | ||
170 | Ica | Peru | |||
171 | Lipa City | Batangas | Philippines | 4217 | |
172 | EDSA Caloocan City | Metro Manila | Philippines | 1400 | |
173 | Cebu City | Philippines | 6000 | ||
174 | Iloilo City | Philippines | 5000 | ||
175 | Quezon City | Philippines | 1100 | ||
176 | Quezon City | Philippines | 1109 | ||
177 | Chrzanow | Poland | 32-500 | ||
178 | Krakow | Poland | 31-011 | ||
179 | Krakow | Poland | 31-209 | ||
180 | Lodz | Poland | 90-153 | ||
181 | Poznan | Poland | 60-569 | ||
182 | Warszawa | Poland | 01-138 | ||
183 | Warszawa | Poland | 02-507 | ||
184 | Wroclaw | Poland | 21-162 | ||
185 | Marghita | Bihor | Romania | 415300 | |
186 | Cluj-Napoca | Cluj | Romania | 400371 | |
187 | Craiova | Dolj | Romania | 200515 | |
188 | Bragadiru | judet Ilfov | Romania | 769764 | |
189 | Suceava | Judetual Suceava | Romania | 720284 | |
190 | Suceava | Judetul Suceava | Romania | 720284 | |
191 | Ploiesti | Prahova | Romania | 10097 | |
192 | Bucuresti | Sector 1 | Romania | 010824 | |
193 | Bucuresti | Sector 2 | Romania | 021105 | |
194 | Bucuresti | Sector 2 | Romania | 021661 | |
195 | Bucuresti | Sector 3 | Romania | 030303 | |
196 | Bucuresti | Sector 5 | Romania | 050159 | |
197 | Timisoara | Timis | Romania | 300310 | |
198 | Bucuresti | Romania | 011461 | ||
199 | Constanta | Romania | 900002 | ||
200 | Barnaul | Russian Federation | 656045 | ||
201 | Chelyabinsk | Russian Federation | 454021 | ||
202 | Moscow | Russian Federation | 119991 | ||
203 | Moscow | Russian Federation | 123182 | ||
204 | Moscow | Russian Federation | 127206 | ||
205 | Novosibirsk | Russian Federation | 195271 | ||
206 | Penza | Russian Federation | 440067 | ||
207 | Saint-Petersburg | Russian Federation | 195030 | ||
208 | Saint-Petersburg | Russian Federation | 198205 | ||
209 | Smolensk | Russian Federation | 214019 | ||
210 | St. Petersburg | Russian Federation | 194354 | ||
211 | St. Petersburg | Russian Federation | 195271 | ||
212 | Tomsk | Russian Federation | 634063 | ||
213 | Belgrade | Serbia | 11000 | ||
214 | Belgrade | Serbia | 11080 | ||
215 | Kragujevac | Serbia | 34000 | ||
216 | Nis | Serbia | 18000 | ||
217 | Sremska Kamenica | Serbia | 21204 | ||
218 | Kosice-Saca | Slovakia | 04015 | ||
219 | Lucenec | Slovakia | 98401 | ||
220 | Trebisov | Slovakia | 07501 | ||
221 | Golnik | Slovenia | 4204 | ||
222 | Ljubljana | Slovenia | 1000 | ||
223 | Topolsica | Slovenia | 3326 | ||
224 | Benoni | Gauteng | South Africa | 1501 | |
225 | Johannesburg | Gauteng | South Africa | 2113 | |
226 | Krugersdorp | Gauteng | South Africa | 1739 | |
227 | Newcastle | Kwazulu, Natal | South Africa | 2940 | |
228 | Thabazimbi | Limpopo | South Africa | 0380 | |
229 | Middleburg | Mpumalanga | South Africa | 1055 | |
230 | Observatory | Western Cape | South Africa | 7925 | |
231 | Badalona | Barcelona | Spain | 08916 | |
232 | Mataro | Barcelona | Spain | 08304 | |
233 | Torrejon de Ardoz | Madrid | Spain | 28850 | |
234 | Alicante | Spain | 03010 | ||
235 | Barcelona | Spain | 08003 | ||
236 | Barcelona | Spain | 08035 | ||
237 | Barcelona | Spain | 08036 | ||
238 | Barcelona | Spain | 08221 | ||
239 | Granada | Spain | 18014 | ||
240 | Madrid | Spain | 28040 | ||
241 | Madrid | Spain | 28046 | ||
242 | Taichung | R.o. C. | Taiwan | 40447 | |
243 | Taichung | R.o. C. | Taiwan | 407 | |
244 | Taipei City | R.o. C. | Taiwan | 116 | |
245 | Changhua Country | Taiwan | 500 | ||
246 | Hualien | Taiwan | 970 | ||
247 | Kaohsiung City | Taiwan | 82445 | ||
248 | Kaohsiung | Taiwan | 807 | ||
249 | Kaohsiung | Taiwan | 83301 | ||
250 | New Taipei City | Taiwan | 220 | ||
251 | Taichung | Taiwan | 402 | ||
252 | Taichung | Taiwan | 40705 | ||
253 | Tainan City | Taiwan | 710 | ||
254 | Tainan | Taiwan | 704 | ||
255 | Taipei City | Taiwan | 11217 | ||
256 | Taipei | Taiwan | 100 | ||
257 | Taipei | Taiwan | 114 | ||
258 | Chernivtsi | Ukraine | 58000 | ||
259 | Ivano Frakivsk | Ukraine | 76018 | ||
260 | Kharkiv | Ukraine | 61103 | ||
261 | Kharkiv | Ukraine | 61106 | ||
262 | Kharkiv | Ukraine | 61124 | ||
263 | Kherson | Ukraine | 73000 | ||
264 | Kiev | Ukraine | 01133 | ||
265 | Kremenchuk | Ukraine | 39617 | ||
266 | Sumy | Ukraine | 40022 | ||
267 | Vinnytsia | Ukraine | 21029 | ||
268 | Zaporizhzhia | Ukraine | 69035 | ||
269 | Zaporizhzhia | Ukraine | 69065 |
Sponsors and Collaborators
- Melinta Therapeutics, Inc.
Investigators
- Study Director: Brian D Jamieson, MD, Melinta Therapeutics, Inc.
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- CE01-301